Adult Determinants of Late Life Depression, Cognitive Decline and Physical Functioning - The Whitehall II Ageing Study
Lead Research Organisation:
University College London
Department Name: Epidemiology and Public Health
Abstract
The number of older adults with mental health problems, such as depression and dementia, is rapidly increasing. In 15 years time, over 4.3 million people in the UK will be affected. Together with physical limitations, this escalating burden of age-related disability will have a profound impact on the capacity for independent living, as well as major social and health care implications.
The voluminous and informative research into age-related disability has largely focused on determinants measured in old age. In order to better separate cause and effect, and to identify novel targets for intervention before the onset of age-related disability, we propose to study risk factors and functioning from mid-life to old-age in the Whitehall II (WII) cohort. WII is perfectly placed for this research as the study has collected an array of data across the adult life course on a cohort of 10,308 London-based civil servants recruited in 1985. Our proposed programme of work includes the collection of a new wave of clinical data (clinic 7) to cover the age range of 65-85 and to extend the wealth of information already available from the WII cohort.
There is a striking overlap between the risk factors for late-life depression and the decline in cognitive and physical functioning. This may be due to shared causal pathologies and/or shared lifestyle, social and behavioural factors. The proposed programme examines these issues within a single, cohesive analytic framework. The assets for discovery in WII include data on a wider range of adulthood risk factors than any other large-scale UK cohort study. These have been measured repeatedly at regular 4-5 year intervals since 1985. Another major advantage is the high-resolution measurements of depressive and anxiety symptoms, cognitive and physical functioning.
The proposal requests resources for a combination of infrastructure (core funding for data collection) and research over the period 2013-2017. Our objectives cover various domains of midlife risk and protective factors for old-age mental health and functioning. Using 30 years of prospective follow-up, we will examine the role of socioeconomic status, social engagement and cognitive reserve as contextual influences ('the causes of the causes') and quantify the importance of lifestyle factors, with attention to the role of changes in health behaviours. We hypothesise that mid-life trajectories of inflammatory, vascular, and metabolic factors will make a major contribution to later life depression, cognitive impairment, and functional health. Findings from WII will be replicated using other large-scale studies. We will then translate any observed effects into impact on the prevalence of functional limitations and disability-free life expectancy using projected risk factor distributions in the general population.
This programme will contribute to public health policy, health and social care, and will have societal impacts. With effective data-sharing policies already in place, the new data will contribute to the wider scientific community advancing gerontological, neuroscientific, medical, psychological, epidemiological and genetic research, including cross-sector collaborative ventures. Our active research collaboration with universities and research institutes in the UK and abroad enable capacity building for future researchers in the field.
The voluminous and informative research into age-related disability has largely focused on determinants measured in old age. In order to better separate cause and effect, and to identify novel targets for intervention before the onset of age-related disability, we propose to study risk factors and functioning from mid-life to old-age in the Whitehall II (WII) cohort. WII is perfectly placed for this research as the study has collected an array of data across the adult life course on a cohort of 10,308 London-based civil servants recruited in 1985. Our proposed programme of work includes the collection of a new wave of clinical data (clinic 7) to cover the age range of 65-85 and to extend the wealth of information already available from the WII cohort.
There is a striking overlap between the risk factors for late-life depression and the decline in cognitive and physical functioning. This may be due to shared causal pathologies and/or shared lifestyle, social and behavioural factors. The proposed programme examines these issues within a single, cohesive analytic framework. The assets for discovery in WII include data on a wider range of adulthood risk factors than any other large-scale UK cohort study. These have been measured repeatedly at regular 4-5 year intervals since 1985. Another major advantage is the high-resolution measurements of depressive and anxiety symptoms, cognitive and physical functioning.
The proposal requests resources for a combination of infrastructure (core funding for data collection) and research over the period 2013-2017. Our objectives cover various domains of midlife risk and protective factors for old-age mental health and functioning. Using 30 years of prospective follow-up, we will examine the role of socioeconomic status, social engagement and cognitive reserve as contextual influences ('the causes of the causes') and quantify the importance of lifestyle factors, with attention to the role of changes in health behaviours. We hypothesise that mid-life trajectories of inflammatory, vascular, and metabolic factors will make a major contribution to later life depression, cognitive impairment, and functional health. Findings from WII will be replicated using other large-scale studies. We will then translate any observed effects into impact on the prevalence of functional limitations and disability-free life expectancy using projected risk factor distributions in the general population.
This programme will contribute to public health policy, health and social care, and will have societal impacts. With effective data-sharing policies already in place, the new data will contribute to the wider scientific community advancing gerontological, neuroscientific, medical, psychological, epidemiological and genetic research, including cross-sector collaborative ventures. Our active research collaboration with universities and research institutes in the UK and abroad enable capacity building for future researchers in the field.
Technical Summary
We propose to examine mid-life factors as determinants of key age-related conditions: late-life depression, cognitive decline and physical functioning in the Whitehall II prospective cohort study (WII) of 10,308 London-based civil servants, established in 1985. Using new data collected at a 7th clinical screening to define endpoints and 30 years of prospective follow-up, we hypothesise that mid-life trajectories of inflammatory, vascular, and metabolic factors will make major contributions to later life depression, cognitive impairment, and functional health. We will examine the role of socioeconomic status, social engagement and cognitive reserve as contextual influences ('the causes of the causes'), and quantify the importance of lifestyle factors through adulthood. Confirming generalisability in other studies, we will translate observed effects into impact on the prevalence of functional limitations and disability-free life expectancy using projected risk factor distributions in the general population. Where appropriate, we will develop multi-factorial predictive algorithms, like those previously developed for cardiovascular diseases, to facilitate early identification of adverse ageing outcomes.
The proposed clinic will include the following measures: psychiatric disorders via computerised interview (CIS-R) and symptoms scales; cognitive function via 6 tests (MMSE, memory, reasoning, fluency, vocabulary, trail making test); physical function via 5 tests (walking speed, chair rises, grip strength, finger tapping, lung function); anthropometry; blood-based measures; hair cortisol; and socioeconomic, social, psychological and behavioural factors, including 9-day accelerometer data and the facial expression recognition.
To provide complementary data, participants are linked to national health registers for surveillance of cause-specific morbidity and mortality. Findings of the programme will inform health policies at national and international levels.
The proposed clinic will include the following measures: psychiatric disorders via computerised interview (CIS-R) and symptoms scales; cognitive function via 6 tests (MMSE, memory, reasoning, fluency, vocabulary, trail making test); physical function via 5 tests (walking speed, chair rises, grip strength, finger tapping, lung function); anthropometry; blood-based measures; hair cortisol; and socioeconomic, social, psychological and behavioural factors, including 9-day accelerometer data and the facial expression recognition.
To provide complementary data, participants are linked to national health registers for surveillance of cause-specific morbidity and mortality. Findings of the programme will inform health policies at national and international levels.
Planned Impact
Understanding the determinants of late life depression and decline in cognitive and physical functioning is the core focus of the proposed programme of work.While many ageing studies focus on these conditions at older ages, we will specifically examine the effects of midlife risk factors, based on repeat measurements that span from age 35 to old age.In this way we hope to identify new intervention targets to promote healthy ageing well before the underlying pathology has reached clinically manifest stages.The research findings from the Whitehall II (WII) study will feed into policy discussions and reach the general public.Below we describe how the following bodies benefit from WII research.
WHO.Gauden Galea, Director of Europe Division of Noncommunicable Diseases and Health Promotion,will receive our major research findings on the effects of behavioural lifestyle risk factors in relation to functional status and disease risk at older ages.This information benefits WHO policies on the reduction of old-age disability.We plan to communicate these findings throughout the year, with at least one annual face-to-face meeting.
European Agency for Safety and Health at Work.WII is one of the studies that has played a leading role in the IPD (Individual-participant-data meta-analysis of working populations) consortium.The results from this consortium are used to inform health policies, specifically for employee groups, including ageing employee populations, throughout Europe.Reports are sent once a year.
National Institute on Aging (NIA),NIH,USA, specifically Molly Wagster (Chief of the Behavioral and Systems Neuroscience Branch),Jonathan King (Program Director of the Division of Behavioral and Social Research) and Richard Suzman (Director of the Division of Behavioral and Social Research).WII results inform NIA decision-making on future funding and policy recommendations for early interventions in old-age cognitive decline,specifically those related to lifestyle and social circumstances.We plan to communicate our major research findings throughout the year, with one face-to-face meeting every year.
Department of Health (DH).The DH recently published their desired outcomes in the 'Public health outcomes framework',which was partially based on findings from the WII study.We will continue to provide research findings to the DH to inform their policies,especially on their core focus of (a) increased healthy life expectancy and (b) reduced differences in life expectancy and healthy life expectancy between communities.
UK Research Councils, especially MRC.Our work is consistent with the MRC research strategies on ageing research in the UK.In particular we will address the questions of how to maintain good cognitive function and mental wellbeing in later life, to promote physical health at older ages, to extend healthy working lives, and to enhance independent living in an ageing population.We will provide relevant research findings to facilitate the formation of government policy on healthy ageing.
International Association for the Study of Obesity (IASO),specifically Prof Philip James (President IASO).We will inform policy by providing findings on the relationship of adiposity (duration, severity, comorbidity) and healthy ageing.We plan to communicate our major findings throughout the year, with at least one face-to-face meeting.
National Heart Forum,specifically Paul Lincoln (Chief Executive) and Jane Landon (Policy Director).We will act as a consultant on health policies related to heart disease, vascular risk and ageing.
The ageing population as represented by our participants and the general public.We will continue to publish in the national and international media and have online accessible summaries of our research findings relating to topics of interest,e.g.old-age depression, cognitive decline and physical functioning.In these summaries we will underline factors which favour healthy ageing.
WHO.Gauden Galea, Director of Europe Division of Noncommunicable Diseases and Health Promotion,will receive our major research findings on the effects of behavioural lifestyle risk factors in relation to functional status and disease risk at older ages.This information benefits WHO policies on the reduction of old-age disability.We plan to communicate these findings throughout the year, with at least one annual face-to-face meeting.
European Agency for Safety and Health at Work.WII is one of the studies that has played a leading role in the IPD (Individual-participant-data meta-analysis of working populations) consortium.The results from this consortium are used to inform health policies, specifically for employee groups, including ageing employee populations, throughout Europe.Reports are sent once a year.
National Institute on Aging (NIA),NIH,USA, specifically Molly Wagster (Chief of the Behavioral and Systems Neuroscience Branch),Jonathan King (Program Director of the Division of Behavioral and Social Research) and Richard Suzman (Director of the Division of Behavioral and Social Research).WII results inform NIA decision-making on future funding and policy recommendations for early interventions in old-age cognitive decline,specifically those related to lifestyle and social circumstances.We plan to communicate our major research findings throughout the year, with one face-to-face meeting every year.
Department of Health (DH).The DH recently published their desired outcomes in the 'Public health outcomes framework',which was partially based on findings from the WII study.We will continue to provide research findings to the DH to inform their policies,especially on their core focus of (a) increased healthy life expectancy and (b) reduced differences in life expectancy and healthy life expectancy between communities.
UK Research Councils, especially MRC.Our work is consistent with the MRC research strategies on ageing research in the UK.In particular we will address the questions of how to maintain good cognitive function and mental wellbeing in later life, to promote physical health at older ages, to extend healthy working lives, and to enhance independent living in an ageing population.We will provide relevant research findings to facilitate the formation of government policy on healthy ageing.
International Association for the Study of Obesity (IASO),specifically Prof Philip James (President IASO).We will inform policy by providing findings on the relationship of adiposity (duration, severity, comorbidity) and healthy ageing.We plan to communicate our major findings throughout the year, with at least one face-to-face meeting.
National Heart Forum,specifically Paul Lincoln (Chief Executive) and Jane Landon (Policy Director).We will act as a consultant on health policies related to heart disease, vascular risk and ageing.
The ageing population as represented by our participants and the general public.We will continue to publish in the national and international media and have online accessible summaries of our research findings relating to topics of interest,e.g.old-age depression, cognitive decline and physical functioning.In these summaries we will underline factors which favour healthy ageing.
Organisations
- University College London (Lead Research Organisation)
- Tampere University Hospital (Collaboration)
- Andalusian School of Public Health (Collaboration)
- Technical University of Munich (Collaboration)
- University of Surrey (Collaboration)
- Korea National Institute of Health (KNIH) (Collaboration)
- Lausanne University Hospital (CHUV) (Collaboration)
- Basque Government (Collaboration)
- Massachusetts General Hospital (Collaboration)
- University of Lubeck (Collaboration)
- Australian Institute of Health and Welfare (Collaboration)
- Steno Diabetes Center Copenhagen (Collaboration)
- Norwegian University of Science and Technology (NTNU) (Collaboration)
- University Heart Centre Hamburg (Collaboration)
- Chinese Academy of Medical Sciences (CAMS) (Collaboration)
- Public Health and Health Planning Directorate, Spain (Collaboration)
- University Libre Bruxelles (Université Libre de Bruxelles ULB) (Collaboration)
- University College Hospital (Collaboration)
- Wilford Hall Medical Center (Collaboration)
- Johns Hopkins University (Collaboration)
- Stanford University (Collaboration)
- Wageningen University & Research (Collaboration)
- Utrecht University (Collaboration)
- UNIVERSITY OF SYDNEY (Collaboration)
- Ulm University Medical Center (Collaboration)
- Aarhus University (Collaboration)
- AGE UK (Collaboration)
- University of Copenhagen (Collaboration)
- Finnish Institute of Occupational Health (FIOH) (Collaboration)
- Newcastle University (Collaboration)
- University Duisburg-Essen (Collaboration)
- Mid Sweden University (Collaboration)
- Catalan Institute of Oncology (ICO) (Collaboration)
- National Institute of Public Health in Prague (Collaboration)
- University of Pennsylvania (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- UNIVERSITY OF EXETER (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- National Institute for Health and Welfare (Collaboration)
- Aalborg University Hospital (Collaboration)
- International Agency for Research on Cancer (IARC) (Collaboration)
- London School of Hygiene and Tropical Medicine (LSHTM) (Collaboration)
- Versailles Saint-Quentin-en-Yvelines University (Collaboration)
- University of Otago (Collaboration)
- National Institutes of Health (NIH) (Collaboration)
- University of Southern Denmark (Collaboration)
- University of Victoria (Collaboration)
- Umea University (Collaboration)
- ST GEORGE'S UNIVERSITY OF LONDON (Collaboration)
- Uppsala University (Collaboration)
- Massey University (Collaboration)
- Broad Institute (Collaboration)
- Lund University (Collaboration)
- QUEEN MARY UNIVERSITY OF LONDON (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- National Cancer Institute - Milan, Italy (Collaboration)
- Cancer Research and Prevention Centre (CSPO) (Collaboration)
- Stockholm University (Collaboration)
- University of Ghent (Collaboration)
- Azienda Ospedaliera Civile-M.P. Arezzo (Collaboration)
- University of Bristol (Collaboration)
- ISI Foundation - Institute for Scientific Interchange (Collaboration)
- Lithuanian University of Health Sciences (Collaboration)
- UNIVERSITY OF LEICESTER (Collaboration)
- University of Tampere (Collaboration)
- University of Kuopio (Collaboration)
- India Diabetes Research Foundation (Collaboration)
- Centers for Disease Control and Prevention (CDC) (Collaboration)
- National Institute for Health Research (Collaboration)
- Heinrich Heine University Düsseldorf (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- University of Oxford (Collaboration)
- Murcia Health Council (Collaboration)
- Leibniz Association (Collaboration)
- Netherlands Organization for Applied Scientific Research (TNO) (Collaboration)
- Harokopio University (Collaboration)
- University Medical Center Gronigen (Collaboration)
- Copenhagen University Hospital (Collaboration)
- Heidelberg University (Collaboration)
- National Research Centre for the Working Environment (NRCWE) (Collaboration)
- Danish Cancer Society (Collaboration)
- Karolinska Institute (Collaboration)
- Uppsala University Hospital (Collaboration)
- University of Iceland (Collaboration)
- Helsinki University Hospital (Collaboration)
- The Wellcome Trust Sanger Institute (Collaboration)
- University of Ottawa (Collaboration)
- Helmholtz Association of German Research Centres (Collaboration)
- University of Tartu (Collaboration)
- Oregon Health and Science University (Collaboration)
- Synlab Academy (Collaboration)
- German Institute for Economic Research (Collaboration)
- Prince of Wales Hospital (Collaboration)
- University Medical Center Utrecht (UMC) (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- Jagiellonian University (Collaboration)
- HARVARD UNIVERSITY (Collaboration)
- Academic Medical Center (Collaboration)
- National Institute of Health and Medical Research (INSERM) (Collaboration)
- George Institute for Global Health (Collaboration)
- Bispebjerg Hospital (Collaboration)
- The University of Texas at San Antonio (Collaboration)
- QUEEN'S UNIVERSITY BELFAST (Collaboration)
- National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) (Collaboration)
- Danish National Centre for Social Research (SFI) (Collaboration)
- Free University of Amsterdam (Collaboration)
- SWANSEA UNIVERSITY (Collaboration)
- University of Toronto (Collaboration)
- University of Glasgow (Collaboration)
- University Medical Center Rotterdam (Collaboration)
- Washington University in St Louis (Collaboration)
- University of Michigan (Collaboration)
- University of Oslo (Collaboration)
- Institute of Public Health Navarra (Collaboration)
- Russian Academy of Medical Sciences (Collaboration)
- Cardiff University (Collaboration)
- National Institute for Public Health and Environment (RIVM) (Collaboration)
- Karolinska University Hospital (Collaboration)
- University of Helsinki (Collaboration)
- Addenbrooke's Hospital (Collaboration)
- University College London (Collaboration)
- UNIVERSITY OF NOTTINGHAM (Collaboration)
- MRC National Survey of Health and Development (NSHD) (Collaboration)
- McGill University (Collaboration)
- Canadian Institute for Substance Use Research (Collaboration)
- University of North Carolina at Chapel Hill (Collaboration)
- The National Agency for Special Needs Education and Schools (Collaboration)
- Jönköping University (Collaboration)
- University of Turku (Collaboration)
Publications
Aasheim ET
(2015)
Tinned fruit consumption and mortality in three prospective cohorts.
in PloS one
Abell JG
(2016)
Assessing cortisol from hair samples in a large observational cohort: The Whitehall II study.
in Psychoneuroendocrinology
Abell JG
(2019)
Raised blood pressure and risk of dementia: our response.
in European heart journal
Abell JG
(2018)
Association between systolic blood pressure and dementia in the Whitehall II cohort study: role of age, duration, and threshold used to define hypertension.
in European heart journal
Abell JG
(2016)
Recurrent short sleep, chronic insomnia symptoms and salivary cortisol: A 10-year follow-up in the Whitehall II study.
in Psychoneuroendocrinology
Ahmadi-Abhari S
(2017)
Physical Activity, Sedentary Behavior, and Long-Term Changes in Aortic Stiffness: The Whitehall II Study.
in Journal of the American Heart Association
Airaksinen J
(2018)
Prediction of long-term absence due to sickness in employees: development and validation of a multifactorial risk score in two cohort studies.
in Scandinavian journal of work, environment & health
Airaksinen J
(2019)
The effect of smoking cessation on work disability risk: a longitudinal study analysing observational data as non-randomized nested pseudo-trials.
in International journal of epidemiology
| Guideline Title | 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts) Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR) |
| Description | 2016 European Guidelines on cardiovascular disease prevention in clinical practice. The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| URL | https://academic.oup.com/eurheartj/article/37/29/2315/1748952/2016-European-Guidelines-on-cardiovasc... |
| Description | Anya Topiwala - Alcohol and the Brain: Possible Policy Implications Behavioural Insights Team (Cabinet Office), London |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | Citation in 'American Heart Association Scientific Statement: Social Determinants of Risk and Outcomes for Cardiovascular Disease'. |
| Geographic Reach | North America |
| Policy Influence Type | Citation in clinical reviews |
| URL | http://circ.ahajournals.org/content/132/9/873.long#ref-list-1 |
| Guideline Title | Dementia, disability and frailty in later life - mid-life approaches to delay or prevent onset NICE guideline [NG16] |
| Description | Citation in 'Dementia, disability and frailty in later life - mid-life approaches to delay or prevent onset' NICE guideline [NG16] |
| Geographic Reach | National |
| Policy Influence Type | Citation in clinical guidelines |
| URL | https://www.nice.org.uk/guidance/ng16 |
| Description | Citation in - The public health burden of alcohol and the effectiveness and cost-effectiveness of alcohol control policies: an evidence review Cited by UK Government (GOV.UK) on 02 Dec 2016 |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Description | Citation in Alzheimer's Association Report: Alzheimer's disease facts and figures (2021) |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in other policy documents |
| Impact | American Alzheimer's Association is an important authority in dementia field, promoting brain health in the US population and internationally. Our study was used as evidence to emphasise the importance of high blood pressure as a target of dementia prevention. |
| URL | https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.12328 |
| Description | Citation in Alzheimer's Association Report: Alzheimer's disease facts and figures (2021) |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in other policy documents |
| Impact | American Alzheimer's Association is an important authority in dementia field, promoting brain health in the US population and internationally. Our study was used as evidence to emphasise the importance of high blood pressure as a target of dementia prevention. |
| URL | https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.12328 |
| Description | Citation in Alzheimer's Association Report: Alzheimer's disease facts and figures (2021) |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in other policy documents |
| Impact | American Alzheimer's Association is an important authority in dementia field, promoting brain health in the US population and internationally. Our study was used as evidence to emphasise the importance of high blood pressure as a target of dementia prevention. |
| URL | https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.12328 |
| Description | Citation in American Heart Association Scientific Statement (2021) |
| Geographic Reach | North America |
| Policy Influence Type | Citation in other policy documents |
| Impact | This American Heart Association Scientific Statement makes recommendations for cardiovascular disease prevention. Our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://www.ahajournals.org/doi/10.1161/CIR.0000000000000947?url_ver=Z39.88-2003&rfr_id=ori:rid:cros... |
| Guideline Title | ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Description | Citation in ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | European guidelines for cardiovascular disease prevention make recommendations for preventive interventions in clinical practice. Our study was used as evidence to target obesity even in the absence of otherwise adverse metabolic profile because our study shows metabolically healthy obesity in most cases progress to unhealthy obesity over time. In addition, our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://academic.oup.com/eurheartj/article/42/34/3227/6358713 |
| Guideline Title | ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Description | Citation in ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | European guidelines for cardiovascular disease prevention make recommendations for preventive interventions in clinical practice. Our study was used as evidence to target obesity even in the absence of otherwise adverse metabolic profile because our study shows metabolically healthy obesity in most cases progress to unhealthy obesity over time. In addition, our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://academic.oup.com/eurheartj/article/42/34/3227/6358713 |
| Guideline Title | ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Description | Citation in ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | European guidelines for cardiovascular disease prevention make recommendations for preventive interventions in clinical practice. Our study was used as evidence to target obesity even in the absence of otherwise adverse metabolic profile because our study shows metabolically healthy obesity in most cases progress to unhealthy obesity over time. In addition, our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://academic.oup.com/eurheartj/article/42/34/3227/6358713 |
| Guideline Title | ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Description | Citation in ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | European guidelines for cardiovascular disease prevention make recommendations for preventive interventions in clinical practice. Our study was used as evidence to target obesity even in the absence of otherwise adverse metabolic profile because our study shows metabolically healthy obesity in most cases progress to unhealthy obesity over time. In addition, our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://academic.oup.com/eurheartj/article/42/34/3227/6358713 |
| Guideline Title | ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Description | Citation in ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | European guidelines for cardiovascular disease prevention make recommendations for preventive interventions in clinical practice. Our study was used as evidence to target obesity even in the absence of otherwise adverse metabolic profile because our study shows metabolically healthy obesity in most cases progress to unhealthy obesity over time. In addition, our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://academic.oup.com/eurheartj/article/42/34/3227/6358713 |
| Guideline Title | ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Description | Citation in ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | European guidelines for cardiovascular disease prevention make recommendations for preventive interventions in clinical practice. Our study was used as evidence to target obesity even in the absence of otherwise adverse metabolic profile because our study shows metabolically healthy obesity in most cases progress to unhealthy obesity over time. In addition, our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://academic.oup.com/eurheartj/article/42/34/3227/6358713 |
| Guideline Title | ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Description | Citation in ESC Guidelines on cardiovascular disease prevention in clinical practice (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | European guidelines for cardiovascular disease prevention make recommendations for preventive interventions in clinical practice. Our study was used as evidence to target obesity even in the absence of otherwise adverse metabolic profile because our study shows metabolically healthy obesity in most cases progress to unhealthy obesity over time. In addition, our state-of-the-art review was used as evidence to support stress management as a secondary prevention intervention for patients with cardiovascular disease. |
| URL | https://academic.oup.com/eurheartj/article/42/34/3227/6358713 |
| Description | Citation in a case-control study.(Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia) |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Citation in systematic review and meta-analysis (Perceived job insecurity as a risk factor for incident coronary heart disease) |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in systematic reviews |
| Description | Citations in WHO Commission on Social Determinants of Health Closing the gap in a generation: Health equity through action on the social determinants of health. Final Report of the Commission on Social Determinants of Health. Geneva, World Health Organization. |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in other policy documents |
| URL | http://apps.who.int/iris/bitstream/10665/43943/1/9789241563703_eng.pdf |
| Description | Expert advisory committee. Public Health England. Evidence on Alcohol Policies. London. 22nd February 2016 |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Gave evidence to the UK Parliament Health Committee report: Prof Michael Marmot |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | http://www.parliament.uk/business/committees/committees-a-z/commons-select/health-committee/news-par... |
| Description | Invited European expert member of the US NIOSH Cancer, Reproductive, Cardiovascular, and Other Chronic Disease Prevention (CRC) Program for the 10-year research agenda 2016-2026. |
| Geographic Reach | North America |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Meta-analysis on job strain and CHD used as evidence in the 'DRIVERS for Health Equity' EU Report |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in other policy documents |
| Impact | The meta-analysis, based on large high-quality evidence, promoted a more realistic view on the importance of prevention of workplace stress; this strategy might decrease disease incidence but have a smaller effect than tackling of standard risk factors. |
| URL | http://health-gradient.eu/ |
| Description | Meta-analysis on job strain and CHD used to justify EU policies on work stress and EU guidance for employers and employees. |
| Geographic Reach | Europe |
| Policy Influence Type | Citation in other policy documents |
| Impact | The meta-analysis, based on large high-quality evidence, promoted a more realistic view on the importance of prevention of workplace stress. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet. 2012 Oct 27;380(9852):1491-7 http://www.ncbi.nlm.nih.gov/pubmed/22981903 |
| URL | http://ec.europa.eu/social/main.jsp?catId=716&langId=en&moreDocuments=yes |
| Guideline Title | The NHS Outcomes Framework 2015/16 |
| Description | Paper used to support a new indicator for inclusion in the 15/16 NHS Outcomes framework |
| Geographic Reach | National |
| Policy Influence Type | Citation in clinical guidelines |
| Impact | This study promoted the view that mental health issues have also strong implications for physical health. |
| URL | https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/385749/NHS_Outcomes_Framew... |
| Guideline Title | Guidelines for the Prevention of Stroke in Patients With Stroke and Transient Ischemic Attack: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association" |
| Description | Review on Prediabetes used as key evidence in AHA guidelines for the prevention of stroke. |
| Geographic Reach | North America |
| Policy Influence Type | Citation in clinical guidelines |
| URL | http://stroke.ahajournals.org/content/45/7/2160.long |
| Description | Review used as key evidence in report for DoH. Stress and cardiovascular disease. Nat Rev Cardiol, 9(6), 360-370) |
| Geographic Reach | National |
| Policy Influence Type | Citation in other policy documents |
| Impact | TBA |
| URL | http://www.instituteofhealthequity.org/Content/FileManager/early-death-book_final.pdf |
| Description | Stress and Cardiovascular Disease: An Update on Current Knowledge |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in systematic reviews |
| Description | The need for more research funding for the prevention of dementia, in relation to the G8 dementia summit in London, published in Journal of Alzheimer's Disease. |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| Impact | The need for more research funding for the prevention of dementia, in relation to the G8 dementia summit in London, published in Journal of Alzheimer's Disease. This statement sought to allocate research funding towards issues where translational potential into improved public health is very high. |
| URL | http://iospress.metapress.com/content/3g013312161808p0/ |
| Description | BHF Programme Grant_2013 |
| Amount | £1,108,289 (GBP) |
| Funding ID | RG/13/2/30098 |
| Organisation | British Heart Foundation (BHF) |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2013 |
| End | 03/2017 |
| Description | BHF_Sleep and CVD_2014 |
| Amount | £88,000 (GBP) |
| Organisation | British Heart Foundation (BHF) |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2014 |
| End | 12/2015 |
| Description | Call research project CoeN |
| Amount | € 20,000 (EUR) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2019 |
| End | 12/2019 |
| Description | Diabetes UK Project Grant |
| Amount | £142,000 (GBP) |
| Organisation | Diabetes UK |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2013 |
| End | 01/2015 |
| Description | ESRC Professorial Fellowship |
| Amount | £560,749 (GBP) |
| Funding ID | ES/J023299/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2012 |
| End | 09/2015 |
| Description | EU Horizon 2020 |
| Amount | € 10,000,000 (EUR) |
| Funding ID | 732592 - Lifebrain |
| Organisation | European Union |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2017 |
| End | 06/2022 |
| Description | Education and Aging: transitions from multi-morbidity to functional limitations |
| Amount | $365,201 (USD) |
| Funding ID | 1R56AG056477-01 |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 08/2017 |
| End | 08/2018 |
| Description | European Research Council Starting Grant |
| Amount | £52,000 (GBP) |
| Funding ID | GA 309337-AlcoholLifecourse |
| Organisation | European Research Council (ERC) |
| Sector | Public |
| Country | Belgium |
| Start | 09/2013 |
| End | 09/2016 |
| Description | European Research Council Starting Grant |
| Amount | £52,000 (GBP) |
| Funding ID | GA 309337-AlcoholLifecourse |
| Organisation | European Research Council (ERC) |
| Sector | Public |
| Country | Belgium |
| Start | 09/2013 |
| End | 09/2016 |
| Description | European Union Horizon 2020 |
| Amount | € 332,381 (EUR) |
| Funding ID | 633666 - LIFEPATH - RIA |
| Organisation | European Commission |
| Department | Horizon 2020 |
| Sector | Public |
| Country | European Union (EU) |
| Start | 04/2015 |
| End | 04/2019 |
| Description | Finnish Working Environment Foundation Project Grant |
| Amount | € 270,000 (EUR) |
| Organisation | Finnish Work Environment Fund |
| Sector | Public |
| Country | Finland |
| Start | 01/2012 |
| End | 12/2015 |
| Description | Integrated research on prevention, treatment and care for dementia - formulation of OU-UCL international joint research centre |
| Amount | ￥60,000,000 (JPY) |
| Organisation | Osaka University |
| Sector | Academic/University |
| Country | Japan |
| Start | 08/2019 |
| End | 03/2022 |
| Description | NHLBI Extramural Research grant |
| Amount | $1,400,000 (USD) |
| Funding ID | 5R01HL036310-23 |
| Organisation | National Institutes of Health (NIH) |
| Department | National Heart, Lung, and Blood Institute (NHLBI) |
| Sector | Public |
| Country | United States |
| Start | 08/2009 |
| End | 07/2013 |
| Description | NIA Research Grant |
| Amount | $1,600,000 (USD) |
| Funding ID | 5R01AG034454-04 |
| Organisation | National Institutes of Health (NIH) |
| Department | National Institute on Aging |
| Sector | Public |
| Country | United States |
| Start | 08/2009 |
| End | 08/2014 |
| Description | NIA Research Grant |
| Amount | $3,700,000 (USD) |
| Funding ID | 5R01AG013196-17 |
| Organisation | National Institutes of Health (NIH) |
| Department | National Institute on Aging |
| Sector | Public |
| Country | United States |
| Start | 08/2009 |
| End | 06/2014 |
| Description | National Social Insurance Institution Project Grant |
| Amount | € 150,000 (EUR) |
| Organisation | National Social Insurance Institution |
| Sector | Public |
| Country | Italy |
| Start | 05/2012 |
| End | 09/2014 |
| Description | Project Grant |
| Amount | $2,165,201 (USD) |
| Funding ID | R01AG056477 |
| Organisation | National Institutes of Health (NIH) |
| Department | National Institute on Aging |
| Sector | Public |
| Country | United States |
| Start | 08/2017 |
| End | 05/2023 |
| Description | Szentgyörgyi Albert postdoctoral fellowship |
| Amount | € 26,000 (EUR) |
| Funding ID | TÁMOP 4.2.4.A/1-11-1-2012-0001 |
| Organisation | National Excellence Programme (Hungary) |
| Sector | Public |
| Country | Hungary |
| Start | 05/2012 |
| End | 09/2014 |
| Description | The Whitehall II study: A Core Resource for Ageing Research |
| Amount | £608,413 (GBP) |
| Funding ID | MR/R024227/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2018 |
| End | 06/2023 |
| Description | UK-China Health And Social Challenges Ageing Project: present and future burden of dementia, and policy responses |
| Amount | £792,098 (GBP) |
| Funding ID | ES/T014377/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2020 |
| End | 08/2024 |
| Title | Collection and curation of Phase 11 data |
| Description | Collection of phase 11 data started on 07/Feb/2012 and will finish on 30/Oct/2013. Data were collected at the local Whitehall II clinic up to April 2013 and are currently being collected in participants' homes. Data collection involves several clinical measurements, a battery of cognitive tests and self-completion questionnaires. Data storage and curation takes place on an on-going basis. Established data quality checks are performed at the point of data collection. Double data entry, monitoring and cleansing of clinical information are carried out weekly. Data are backed up and processed following secure data management procedures and finally incorporated into the Whitehall II central database. For documentation and preservation purposes, all paper copies are scanned into PDF/A documents, we produce copies of our protocols and manuals, and data dictionaries across waves are updated accordingly. |
| Type Of Material | Biological samples |
| Provided To Others? | No |
| Impact | Generation of phase 11 Whitehall II data for research purposes, which will fulfill the research aims agreed with the funding bodies. |
| Title | Data Sharing |
| Description | The Whitehall II Data Sharing Policy was established in 2007 and continues to govern our provision of data to external researchers and close collaborators worldwide. To date we have received 136 data sharing applications, of which 128 were approved at first submission and resubmission was requested for the remaining 8. In total, Whitehall II data have been released for 131 applications, 37 of which are genetic projects. |
| Type Of Material | Biological samples |
| Year Produced | 2007 |
| Provided To Others? | Yes |
| Impact | Increased number of research publications. Provision of research material for PhD projects worldwide. |
| URL | http://www.ucl.ac.uk/whitehallII/data-sharing |
| Title | Implementation and planning of Phase 12 |
| Description | The collection of research data during phase 12 (2015/16) requires preliminary work before the questionnaires are finalised and the medical examination clinic is set up. This works involves: - research to decide what clinical measures and batteries of questions are going to be included - seeking ethical approval - establishment of contracts with external providers for services such as data entry, blood analysis, ECG management and diagnosis, equipment, consumables, software development, IT systems, etc. The agreements must include terms and conditions, warranty, payment, secure exchange of confidential data and queries, etc. - updating the participants details and their ONS status on the Whitehall administrative database - internal development of Access databases: appointments, screening data, consent, external results - writing protocols, coding manuals and training material - recruitment: writing job descriptions, shortlisting, interviews |
| Type Of Material | Biological samples |
| Provided To Others? | No |
| Impact | It enables the group to run P12 data collection. |
| Title | Whitehall imaging protocol |
| Description | Whitehall imaging protocol |
| Type Of Material | Physiological assessment or outcome measure |
| Year Produced | 2012 |
| Provided To Others? | Yes |
| Impact | Use of protocol by other local research groups and adoption by UK biobank |
| URL | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4048583/ |
| Description | Alcohol Consumption across the Life-course: Determinants and Health Consequences |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2013 |
| Description | Brain & Heart Study Alzheimer's Society UK |
| Organisation | University of Oxford |
| Department | Department of Psychiatry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provision of data and expertise |
| Collaborator Contribution | Follow-up and examination of cohort |
| Impact | Association of Midlife Cardiovascular Risk Profiles With Cerebral Perfusion at Older Ages. Sana Suri, Anya Topiwala, Michael A Chappell, Thomas W Okell, Eniko Zsoldos, Archana Singh-Manoux, Mika Kivimäki, Clare E Mackay, Klaus P Ebmeier. DOI: 10.1001/jamanetworkopen.2019.5776 |
| Start Year | 2019 |
| Description | CARDIoGRAM Consortium |
| Organisation | Academic Medical Center |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Addenbrooke's Hospital |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Broad Institute |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Chinese Academy of Medical Sciences (CAMS) |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Harokopio University |
| Country | Greece |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Harvard University |
| Department | Harvard Medical School |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Heidelberg University |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Karolinska University Hospital |
| Country | Sweden |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Korea National Institute of Health (KNIH) |
| Country | Korea, Republic of |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Lund University |
| Department | Lund University Diabetes Center (LUDC) |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Massachusetts General Hospital |
| Department | Cardiovascular Research Centre (CVRC) |
| Country | United States |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | National Institute for Health Research |
| Department | Leicester Cardiovascular Biomedical Research Unit (LCBRU) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Queen Mary University of London |
| Department | Barts and The London School of Medicine and Dentistry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Stanford University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Synlab Academy |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Tampere University Hospital |
| Country | Finland |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Technical University of Munich |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | The Wellcome Trust Sanger Institute |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Ulm University Medical Center |
| Country | Germany |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | Umea University |
| Department | Faculty of Medicine |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University Heart Centre Hamburg |
| Country | Germany |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Iceland |
| Country | Iceland |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Leicester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Leicester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Lubeck |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Lubeck |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Ottawa |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | CARDIoGRAM Consortium |
| Organisation | University of Tampere |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Mäkinen VP et al. Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium. Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease. PLoS Genet. 2014 Jul 17;10(7):e1004502 |
| Start Year | 2011 |
| Description | Canadian Institute for Substance Use Research - University of Victoria |
| Organisation | Canadian Institute for Substance Use Research |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | I visited the team at the University of Victoria and gave a presentation on my research funded by MRC. We have now put in joint grant application and are writing a paper together. |
| Collaborator Contribution | We have worked together on a joint grant application and are writing a paper together |
| Impact | Not yet. |
| Start Year | 2017 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | Australian Institute of Health and Welfare |
| Country | Australia |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | Centers for Disease Control and Prevention (CDC) |
| Country | United States |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | Free University of Amsterdam |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | Lausanne University Hospital (CHUV) |
| Country | Switzerland |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | National Institute for Health and Welfare |
| Country | Finland |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | Norwegian University of Science and Technology (NTNU) |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University College Hospital |
| Department | University College London Hospitals Charity (UCLH) |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University College London |
| Department | Centre for Longitudinal Studies |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University College London |
| Department | MRC Unit for Lifelong Health and Ageing |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University Medical Center Rotterdam |
| Country | Netherlands |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Exeter |
| Department | Medical School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Glasgow |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Helsinki |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Nottingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Otago |
| Country | New Zealand |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Southern Denmark |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Causal Analysis Research in Tobacco and Alcohol (CARTA) |
| Organisation | University of Toronto |
| Department | Rotman Research Institute |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Taylor AE, Fluharty ME, Bjørngaard JH et al. Assessing the possible causal association of smoking with depression and anxiety using Mendelian Randomisation meta-analysis: the CARTA consortium. BMJ Open. 2014. Taylor AE, Munafò MR; on behalf of the CARTA consortium. Commentary: Does mortality from smoking have implications for future Mendelian randomization studies? Int J Epidemiol. 2014. |
| Start Year | 2013 |
| Description | Collaboration within Lifebrain (Horizon 2020) |
| Organisation | University of Oslo |
| Department | Centre for Lifespan Changes in Brain and Cognition |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | Expertise and scan/participant data |
| Collaborator Contribution | This project is realized by a close collaboration of major European brain research centres and a small and medium-sized enterprise (SME). The 14 partners come from 8 countries: Denmark, Germany, Netherlands, Norway, Spain, Sweden, Switzerland and UK. |
| Impact | A number of deliverables to the European Commission (http://www.lifebrain.uio.no/research/) -- Healthy minds from 0-100 years: Optimising the use of European brain imaging cohorts ("Lifebrain") European Psychiatry, Volume 47, January 2018, Pages 76-87 |
| Start Year | 2017 |
| Description | Controlling Structure Inducted Variations in Non-Invasive Perfusion MRI of Neurodegeneration |
| Organisation | University of Oxford |
| Department | Oxford University Clinical Academic Graduate School (OUCAGS) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Summary of data requested from the Whitehall II study: • Multiple post labelling delay pseudo-continuous ASL datasets from 150 individuals. • Demographic information including: age, sex, educational level and cognitive scores. • T1 structural images from the same 150 individuals and the outputs from fsl_anat analysis, which has already been performed. |
| Collaborator Contribution | Dr Flora Kennedy McConnell and Dr Michael Chappell (IBME - Department of Engineering Science) The Whitehall II dataset includes arterial spin labelling (ASL) data from 150 individuals, all of whom were over 60 years old at the time of scanning. As part of the EPSRC funded project 'Controlling Structure Inducted Variations in Non-Invasive Perfusion MRI of Neurodegeneration', we intend to perform analysis of the ASL data, and associated demographic information (age, sex, educational level and cognitive scores), both with and without the use of a partial volume correction (PVC) technique developed by Dr Michael Chappell. This work will be carried out to examine the sensitivity of partial volume corrected ASL analysis to differences in perfusion. The analysis will be performed both voxelwise and within pre-defined regions of interest to consider the utility of PVC in each case. From the Whitehall II data we will examine already established perfusion differences associated with age, sex etc. The outcome will contribute back to analysis of ASL within Whitehall II on novel hypotheses by providing a tested pipeline for group analysis which will include partial volume correction. Subsequently, we intend to use both the ASL data and associated T1 structural images to begin to understand and model the relationship between tissue structure and perfusion. The aim being to create atlases of normal perfusion and perfusion-structure models. |
| Impact | not so far |
| Start Year | 2018 |
| Description | DETECT-2 |
| Organisation | Aarhus University |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | Providing data, participation in data analysis and publication. |
| Collaborator Contribution | Meta-analysis |
| Impact | M. Alssema, D. Vistisen, M.W. Heymans, G. Nijpels, C. Glümer, P.Z. Zimmet, J.E. Shaw, M. Eliasson, C.D. Stehouwer, A.G. Tabák, S. Colagiuri, K. Borch-Johnsen, J.M. Dekker, for the DETECT-2 collaboration: The evaluation of screening and early detection strategies for type 2 diabetes and impaired glucose tolerance (detect-2) update of the finnish diabetes risk score for prediction of incident type 2 diabetes. Diabetologia 54:1004-1012, 2011 |
| Start Year | 2007 |
| Description | DETECT-2 |
| Organisation | Prince of Wales Hospital |
| Department | Department of Endocrinology |
| Country | Australia |
| Sector | Hospitals |
| PI Contribution | Providing data, participation in data analysis and publication. |
| Collaborator Contribution | Meta-analysis |
| Impact | M. Alssema, D. Vistisen, M.W. Heymans, G. Nijpels, C. Glümer, P.Z. Zimmet, J.E. Shaw, M. Eliasson, C.D. Stehouwer, A.G. Tabák, S. Colagiuri, K. Borch-Johnsen, J.M. Dekker, for the DETECT-2 collaboration: The evaluation of screening and early detection strategies for type 2 diabetes and impaired glucose tolerance (detect-2) update of the finnish diabetes risk score for prediction of incident type 2 diabetes. Diabetologia 54:1004-1012, 2011 |
| Start Year | 2007 |
| Description | DETECT-2 |
| Organisation | University of Southern Denmark |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | Providing data, participation in data analysis and publication. |
| Collaborator Contribution | Meta-analysis |
| Impact | M. Alssema, D. Vistisen, M.W. Heymans, G. Nijpels, C. Glümer, P.Z. Zimmet, J.E. Shaw, M. Eliasson, C.D. Stehouwer, A.G. Tabák, S. Colagiuri, K. Borch-Johnsen, J.M. Dekker, for the DETECT-2 collaboration: The evaluation of screening and early detection strategies for type 2 diabetes and impaired glucose tolerance (detect-2) update of the finnish diabetes risk score for prediction of incident type 2 diabetes. Diabetologia 54:1004-1012, 2011 |
| Start Year | 2007 |
| Description | DETECT-2 |
| Organisation | University of Sydney |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Providing data, participation in data analysis and publication. |
| Collaborator Contribution | Meta-analysis |
| Impact | M. Alssema, D. Vistisen, M.W. Heymans, G. Nijpels, C. Glümer, P.Z. Zimmet, J.E. Shaw, M. Eliasson, C.D. Stehouwer, A.G. Tabák, S. Colagiuri, K. Borch-Johnsen, J.M. Dekker, for the DETECT-2 collaboration: The evaluation of screening and early detection strategies for type 2 diabetes and impaired glucose tolerance (detect-2) update of the finnish diabetes risk score for prediction of incident type 2 diabetes. Diabetologia 54:1004-1012, 2011 |
| Start Year | 2007 |
| Description | Danish Research Centre for Magnetic Resonance |
| Organisation | Copenhagen University Hospital |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | Supervision and provision of data |
| Collaborator Contribution | Data and Expertise |
| Impact | Characterising the covariance pattern between lifestyle factors and structural brain measures: a multivariable replication study of two independent ageing cohorts (under review) |
| Start Year | 2022 |
| Description | Emerging Risk Factors Collaboration |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Emerging Risk Factors Collaboration, Di Angelantonio E, Kaptoge S, Wormser D, Willeit P, Butterworth AS, Bansal N, O'Keeffe LM, Gao P, Wood AM, Burgess S, Freitag DF, Pennells L, Peters SA, Hart CL, Håheim LL, Gillum RF, Nordestgaard BG, Psaty BM, Yeap BB, Knuiman MW, Nietert PJ, Kauhanen J, Salonen JT, Kuller LH, Simons LA, van der Schouw YT, Barrett-Connor E, Selmer R, Crespo CJ, Rodriguez B, Verschuren WM, Salomaa V, Svärdsudd K, van der Harst P, Björkelund C, Wilhelmsen L, Wallace RB, Brenner H, Amouyel P, Barr EL, Iso H, Onat A, Trevisan M, D'Agostino RB Sr, Cooper C, Kavousi M, Welin L, Roussel R, Hu FB, Sato S, Davidson KW, Howard BV, Leening MJ, Rosengren A, Dörr M, Deeg DJ, Kiechl S, Stehouwer CD, Nissinen A, Giampaoli S, Donfrancesco C, Kromhout D, Price JF, Peters A, Meade TW, Casiglia E, Lawlor DA, Gallacher J, Nagel D, Franco OH, Assmann G, Dagenais GR, Jukema JW, Sundström J, Woodward M, Brunner EJ, Khaw KT, Wareham NJ, Whitsel EA, Njølstad I, Hedblad B, Wassertheil-Smoller S, Engström G, Rosamond WD, Selvin E, Sattar N, Thompson SG, Danesh J. Association of Cardiometabolic Multimorbidity With Mortality. JAMA. 2015 Jul 7;314(1):52-60. doi: 10.1001/jama.2015.7008. PMID: 26151266 |
| Start Year | 2006 |
| Description | Emerging Risk Factors Collaboration |
| Organisation | Wilford Hall Medical Center |
| Country | United States |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Emerging Risk Factors Collaboration, Di Angelantonio E, Kaptoge S, Wormser D, Willeit P, Butterworth AS, Bansal N, O'Keeffe LM, Gao P, Wood AM, Burgess S, Freitag DF, Pennells L, Peters SA, Hart CL, Håheim LL, Gillum RF, Nordestgaard BG, Psaty BM, Yeap BB, Knuiman MW, Nietert PJ, Kauhanen J, Salonen JT, Kuller LH, Simons LA, van der Schouw YT, Barrett-Connor E, Selmer R, Crespo CJ, Rodriguez B, Verschuren WM, Salomaa V, Svärdsudd K, van der Harst P, Björkelund C, Wilhelmsen L, Wallace RB, Brenner H, Amouyel P, Barr EL, Iso H, Onat A, Trevisan M, D'Agostino RB Sr, Cooper C, Kavousi M, Welin L, Roussel R, Hu FB, Sato S, Davidson KW, Howard BV, Leening MJ, Rosengren A, Dörr M, Deeg DJ, Kiechl S, Stehouwer CD, Nissinen A, Giampaoli S, Donfrancesco C, Kromhout D, Price JF, Peters A, Meade TW, Casiglia E, Lawlor DA, Gallacher J, Nagel D, Franco OH, Assmann G, Dagenais GR, Jukema JW, Sundström J, Woodward M, Brunner EJ, Khaw KT, Wareham NJ, Whitsel EA, Njølstad I, Hedblad B, Wassertheil-Smoller S, Engström G, Rosamond WD, Selvin E, Sattar N, Thompson SG, Danesh J. Association of Cardiometabolic Multimorbidity With Mortality. JAMA. 2015 Jul 7;314(1):52-60. doi: 10.1001/jama.2015.7008. PMID: 26151266 |
| Start Year | 2006 |
| Description | Femilab Lausanne |
| Organisation | Lausanne University Hospital (CHUV) |
| Country | Switzerland |
| Sector | Hospitals |
| PI Contribution | Collaboration and PhD Student Supervision |
| Collaborator Contribution | Expertise in machine learning methods applied to brain age |
| Impact | LS Schindler, S Subramaniapillai, C Barth, D van der Meer, ML Pedersen, ... Associations between abdominal adipose tissue, reproductive span, and brain characteristics in post-menopausal women. j.nicl.2022.103239 AMG de Lange, M Anatürk, J Rokicki, LKM Han, K Franke, D Alnæs, ... Mind the gap: performance metric evaluation in brain-age prediction, Human Brain Mapping; doi: 10.1002/hbm.25837 AMG de Lange, T Kaufmann, DS Quintana, A Winterton, LT Westlye, ... Prominent health problems, socioeconomic deprivation, and higher brain age in lonely and isolated individuals: A population-based study. Behav Brain Res - doi: 10.1016/j.bbr.2021.113510 AMG de Lange, T Kaufmann, DS Quintana, A Winterton, LT Westlye, ... Risk factors associated with loneliness, social isolation, and neuroticism in the UK Biobank cohort. PsyArXiv - https://psyarxiv.com/q8kjv/ AMG de Lange, M Anatürk, T Kaufmann, JH Cole, L Griffanti, E Zsoldos, ... Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study. Neuroimage doi: 10.1016/j.neuroimage.2020.117292 222, 117292 AM de Lange, C Barth, T Kaufmann, M Anatürk, S Suri, KP Ebmeier, ... The maternal brain: region-specific patterns of brain aging are traceable decades after childbirth. Human Brain Mapping - https://doi.org/10.1002/hbm.25152. |
| Start Year | 2019 |
| Description | Fibrinogen Studies Collaboration |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Description | GIANT Consortium |
| Organisation | Broad Institute |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Free University of Amsterdam |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Helmholtz Association of German Research Centres |
| Department | Helmholtz Zentrum Munchen |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Helsinki University Central Hospital |
| Country | Finland |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Johns Hopkins University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | National Institute for Health and Welfare |
| Country | Finland |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Norwegian University of Science and Technology (NTNU) |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | St George's University of London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University College London |
| Department | MRC Unit for Lifelong Health and Ageing |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University Medical Center Gronigen |
| Country | Netherlands |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University of Michigan |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University of North Carolina at Chapel Hill |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University of Tartu |
| Country | Estonia |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | University of Turku |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Uppsala University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Utrecht University |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | GIANT Consortium |
| Organisation | Washington University in St Louis |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al. (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45, 501-512. Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpeläinen TO, Esko T, Mägi R, Li S, et al. (2013). Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet 9, e1003500. Yang J, Loos RJ, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, Steinthorsdottir V, Mägi R, et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature 490, 267-272. Heid, I.M., Jackson, A.U., Randall, J.C., Winkler, T.W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M.C., Speliotes, E.K., Magi, R., et al. (2010). Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42, 949-960. Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., et al. (2010). Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467, 832-838. Lindgren, C.M., Heid, I.M., Randall, J.C., Lamina, C., Steinthorsdottir, V., Qi, L., Speliotes, E.K., Thorleifsson, G., Willer, C.J., Herrera, B.M., et al. (2009). Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution. PLoS Genet 5, e1000508. Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Luan, J., Magi, R., et al. (2010). Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42, 937-948. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., et al. (2009). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 41, 25-34. |
| Start Year | 2010 |
| Description | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration |
| Organisation | George Institute for Global Health |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, Ezzati M, Woodward M, Rimm EB, Danaei G. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1•8 million participants. Lancet. 2014 Mar 15;383(9921):970-83. PMID: 24269108 |
| Start Year | 2013 |
| Description | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration |
| Organisation | Harvard University |
| Department | Harvard Medical School |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, Ezzati M, Woodward M, Rimm EB, Danaei G. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1•8 million participants. Lancet. 2014 Mar 15;383(9921):970-83. PMID: 24269108 |
| Start Year | 2013 |
| Description | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration |
| Organisation | Harvard University |
| Department | Harvard T.H. Chan School of Public Health |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, Ezzati M, Woodward M, Rimm EB, Danaei G. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1•8 million participants. Lancet. 2014 Mar 15;383(9921):970-83. PMID: 24269108 |
| Start Year | 2013 |
| Description | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, Ezzati M, Woodward M, Rimm EB, Danaei G. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1•8 million participants. Lancet. 2014 Mar 15;383(9921):970-83. PMID: 24269108 |
| Start Year | 2013 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | Broad Institute |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | Lund University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | The Wellcome Trust Sanger Institute |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | University of Michigan |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | University of North Carolina at Chapel Hill |
| Department | UNC School of Medicine |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | University of Nottingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | University of Texas |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | Global Lipids Genetics Consortium (GLGC) |
| Organisation | Uppsala University Hospital |
| Country | Sweden |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Dastani Z et al. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals. PLoS Genet. 2012;8(3):e1002607. |
| Start Year | 2012 |
| Description | HAPPIE Study Collaboration |
| Organisation | Jagiellonian University |
| Country | Poland |
| Sector | Academic/University |
| PI Contribution | Expertise in determinants of decline in cognitive function. |
| Collaborator Contribution | Collaboration is valuable to us because some risk factors (excessive drinking) are more prevalent in this cohort allowing us to test some of our hypotheses, an example is a recently accepted paper in Neurology. |
| Impact | None at present. |
| Start Year | 2012 |
| Description | HAPPIE Study Collaboration |
| Organisation | Lithuanian University of Health Sciences |
| Department | Institute of Cardiology |
| Country | Lithuania |
| Sector | Academic/University |
| PI Contribution | Expertise in determinants of decline in cognitive function. |
| Collaborator Contribution | Collaboration is valuable to us because some risk factors (excessive drinking) are more prevalent in this cohort allowing us to test some of our hypotheses, an example is a recently accepted paper in Neurology. |
| Impact | None at present. |
| Start Year | 2012 |
| Description | HAPPIE Study Collaboration |
| Organisation | National Institute of Public Health in Prague |
| Country | Czech Republic |
| Sector | Public |
| PI Contribution | Expertise in determinants of decline in cognitive function. |
| Collaborator Contribution | Collaboration is valuable to us because some risk factors (excessive drinking) are more prevalent in this cohort allowing us to test some of our hypotheses, an example is a recently accepted paper in Neurology. |
| Impact | None at present. |
| Start Year | 2012 |
| Description | HAPPIE Study Collaboration |
| Organisation | Russian Academy of Medical Sciences |
| Country | Russian Federation |
| Sector | Academic/University |
| PI Contribution | Expertise in determinants of decline in cognitive function. |
| Collaborator Contribution | Collaboration is valuable to us because some risk factors (excessive drinking) are more prevalent in this cohort allowing us to test some of our hypotheses, an example is a recently accepted paper in Neurology. |
| Impact | None at present. |
| Start Year | 2012 |
| Description | Halcyon Study Team |
| Organisation | Age UK |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | Halcyon Study Team |
| Organisation | Newcastle University |
| Department | Institute for Ageing and Health |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | Halcyon Study Team |
| Organisation | University College London |
| Department | Institute of Education (IOE) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | Halcyon Study Team |
| Organisation | University College London |
| Department | MRC Unit for Lifelong Health and Ageing |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | Halcyon Study Team |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | Halcyon Study Team |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | Halcyon Study Team |
| Organisation | University of Southampton |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | Halcyon Study Team |
| Organisation | University of Surrey |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme, Age (Dordr). 2014;36(4):9673. doi: 10.1007/s11357-014-9673-9. Associations between a polymorphism in the pleiotropic GCKR and Age-related phenotypes: the HALCyon programme, PLoS One. 2013 Jul 23;8(7):e70045. doi: 10.1371/journal.pone.0070045. Genetic variants influencing biomarkers of nutrition are not associated with cognitive capability in middle-aged and older adults, J Nutr. 2013 May;143(5):606-12. doi: 10.3945/jn.112.171520. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and physical performance at older ages: an individual participant meta-analysis, Psychoneuroendocrinology. 2013 Jan;38(1):40-9. doi: 10.1016/j.psyneuen.2012.04.016. Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme, Aging Cell. 2011 Jun;10(3):520-32. doi: 10.1111/j.1474-9726.2011.00687.x. |
| Start Year | 2010 |
| Description | How do genes and lifestyle interact to maintoin youthful brains in older ages? |
| Organisation | McGill University |
| Department | Stroke Prevention Clinic McGill University |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Provision of Whitehall II and imaging data. |
| Collaborator Contribution | Prof Chakravarty Mallar (McGill University) Supervision of Dr Sana Suri in machine learning methods to analyse the above data. |
| Impact | not yet |
| Start Year | 2018 |
| Description | IALSA Consortium |
| Organisation | Oregon Health and Science University |
| Department | Oregon Roybal Center |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | IALSA Consortium |
| Organisation | Oregon Health and Science University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | IALSA Consortium |
| Organisation | University College London |
| Department | MRC Unit for Lifelong Health and Ageing |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | IALSA Consortium |
| Organisation | University of Victoria |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | IBC 50K SNP array BMI Consortium |
| Organisation | University of Pennsylvania |
| Department | Perelman School of Medicine |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | IDEAR Network |
| Organisation | Finnish Institute of Occupational Health (FIOH) |
| Country | Finland |
| Sector | Public |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IDEAR Network |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IDEAR Network |
| Organisation | National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) |
| Department | U1018 INSERM Center for Research in Epidemiology and Population Health |
| Country | France |
| Sector | Public |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IDEAR Network |
| Organisation | National Institute for Health and Welfare |
| Country | Finland |
| Sector | Public |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IDEAR Network |
| Organisation | Stockholm University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IDEAR Network |
| Organisation | University of Copenhagen |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IDEAR Network |
| Organisation | University of Turku |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IDEAR Network |
| Organisation | Versailles Saint-Quentin-en-Yvelines University |
| Department | Paris Ouest Medical School |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is country-lead. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | Stenholm S, Westerlund H, Salo P, Hyde M, Pentti J, Head J, Kivimäki M, Vahtera J. Age-related trajectories of physical functioning in work and retirement: the role of sociodemographic factors, lifestyle and disease. J Epidemiol Community Health. 2014 Jun;68(6):503-9. PMID: 24534071 |
| Start Year | 2013 |
| Description | IPD-Work consortium |
| Organisation | Bispebjerg Hospital |
| Country | Denmark |
| Sector | Hospitals |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Bispebjerg Hospital |
| Country | Denmark |
| Sector | Hospitals |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Danish National Centre for Social Research (SFI) |
| Country | Denmark |
| Sector | Public |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Finnish Institute of Occupational Health (FIOH) |
| Country | Finland |
| Sector | Public |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | German Institute for Economic Research |
| Country | Germany |
| Sector | Charity/Non Profit |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Heinrich Heine University Düsseldorf |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Helmholtz Association of German Research Centres |
| Department | Helmholtz Zentrum Munchen |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Jönköping University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Mid Sweden University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | National Institute of Health and Medical Research (INSERM) |
| Country | France |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | National Research Centre for the Working Environment (NRCWE) |
| Country | Denmark |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Netherlands Organization for Applied Scientific Research (TNO) |
| Country | Netherlands |
| Sector | Public |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Queen's University Belfast |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Stockholm University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | The National Agency for Special Needs Education and Schools |
| Country | Sweden |
| Sector | Charity/Non Profit |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Umea University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | University Duisburg-Essen |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | University Libre Bruxelles (Université Libre de Bruxelles ULB) |
| Country | Belgium |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | University of Ghent |
| Country | Belgium |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | University of Helsinki |
| Department | Institute of Clinical Medicine |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | University of Turku |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | IPD-Work consortium |
| Organisation | Uppsala University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | We lead and coordinate this collaboration, analyse the pooled data and do the first drafts of research papers. Kivimaki is PI of the research grants to this consortium. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, participate in the design of studies |
| Impact | Kivimäki M et al. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 2012;380(9852):1491-7. PMID: 22981903 Virtanen M et al. Perceived job insecurity as a risk factor for incident coronary heart disease: systematic review and meta-analysis. BMJ. 2013 Aug 8;347:f4746. doi: PMID: 23929894 Heikkilä K et al. Work stress and risk of cancer: meta-analysis of 5700 incident cancer events in 116,000 European men and women. BMJ. 2013 Feb 7;346:f165. doi: 10.1136/bmj.f165. PMID: 23393080 Kivimäki M et al. Associations of job strain and lifestyle risk factors with risk of coronary artery disease: a meta-analysis of individual participant data. CMAJ. 2013 Jun 11;185(9):763-9. PMID: 23670152 Kivimäki M et al. Post hoc decision-making in observational epidemiology--is there need for better research standards? Int J Epidemiol. 2013 Apr;42(2):367-70. PMID: 23569177 Fransson E et al. Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women. Am J Epidemiol 2012;176(12):1078-89. PMID: 23144364 Kivimäki M, Kawachi I. Need for More Individual-level Meta-Analyses in Social Epidemiology: Example of Job Strain and Coronary Heart Disease. Am J Epidemiol. 2013 Jan 1;177(1):1-2. PMID: 23144365 Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Landsbergis et al and Choi et al. Am. J. Epidemiol. (2013) 178 (6): 1009-1010. Kivimäki M, Kawachi I. Letter to the Editor - The authors reply to Davey-Smith et al. Am J Epidemiol 2013;178: 154-155. Nyberg S et al. Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies. J Intern Med 2012; 272(1):65-73. PMID: 22077620 Nyberg S et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS ONE 2013 Jun 20;8(6):e67323. PMID: 23840664 Heikkilä K et al. Job Strain and Alcohol Intake: a Collaborative Meta-analysis of Individual-participant Data from 140,000 Men and Women. PLoS ONE 2012;7(7):e40101. PMID: 22792218 Heikkilä K et al. Job Strain and Tobacco Smoking: an Individual-participant Data Meta-analysis of 166,130 Adults in 15 European Studies. PLoS ONE 2012;7(7):e35463. PMID: 2279215 Fransson E et al. Comparison of Alternative Versions of the Job Demand-Control Scales in 17 European Cohort Studies. BMC Public Health 2012;12:62. PMID: 22264402 Siegrist J et al. Validating abbreviated measures of effort-reward imbalance at work in European cohort studies: the IPD-Work consortium. Int Arch Occup Environ Health. 2013 Mar 2. [Epub ahead of print]. PMID: 23456220 Kivimäki M, Jokela M, Nyberg ST, Singh-Manoux A, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Erbel R, Geuskens GA, Hamer M, Hooftman WE, Houtman IL, Jöckel KH, Kittel F, Knutsson A, Koskenvuo M, Lunau T, Madsen IE, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Shipley MJ, Siegrist J, Steptoe A, Suominen SB, Theorell T, Vahtera J, Westerholm PJ, Westerlund H, O'Reilly D, Kumari M, Batty GD, Ferrie JE, Virtanen M; IPD-Work Consortium. Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015 Oct 31;386(10005):1739-46. doi: 10.1016/S0140-6736(15)60295-1. PMID: 26298822 |
| Start Year | 2008 |
| Description | InterAct Consortium |
| Organisation | Aalborg University Hospital |
| Country | Denmark |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Andalusian School of Public Health |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Azienda Ospedaliera Civile-M.P. Arezzo |
| Country | Italy |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Basque Government |
| Country | Spain |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Cancer Research and Prevention Centre (CSPO) |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Catalan Institute of Oncology (ICO) |
| Country | Spain |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Danish Cancer Society |
| Country | Denmark |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | ISI Foundation - Institute for Scientific Interchange |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | India Diabetes Research Foundation |
| Country | India |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Institute of Public Health Navarra |
| Country | Spain |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | International Agency for Research on Cancer (IARC) |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Leibniz Association |
| Department | German Institute of Human Nutrition (DIfE) |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Lund University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Murcia Health Council |
| Country | Spain |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | National Cancer Institute - Milan, Italy |
| Country | Italy |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | National Institute for Public Health and Environment (RIVM) |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Public Health and Health Planning Directorate, Spain |
| Country | Spain |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Steno Diabetes Center Copenhagen |
| Country | Denmark |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | The Wellcome Trust Sanger Institute |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Umea University |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | University Medical Center Utrecht (UMC) |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | University of Cambridge |
| Department | MRC Epidemiology Unit |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | University of Helsinki |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | University of Kuopio |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | University of Oxford |
| Department | Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | InterAct Consortium |
| Organisation | Wageningen University & Research |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials, Lancet. 2014 Sep 24. pii: S0140-6736(14)61183-1. doi: 10.1016/S0140-6736(14)61183-1. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ. 2014 Jul 10;349:g4164. doi: 10.1136/bmj.g4164. |
| Start Year | 2013 |
| Description | MRC Dementia Platform |
| Organisation | Cardiff University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contribute to methods for dementia ascertainment and analysis of predictors of dementia. |
| Collaborator Contribution | Promote dementia research (one of the prime research areas in the UK) |
| Impact | None at present. |
| Start Year | 2013 |
| Description | MRC Dementia Platform |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contribute to methods for dementia ascertainment and analysis of predictors of dementia. |
| Collaborator Contribution | Promote dementia research (one of the prime research areas in the UK) |
| Impact | None at present. |
| Start Year | 2013 |
| Description | MRC Dementia Platform |
| Organisation | Newcastle University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contribute to methods for dementia ascertainment and analysis of predictors of dementia. |
| Collaborator Contribution | Promote dementia research (one of the prime research areas in the UK) |
| Impact | None at present. |
| Start Year | 2013 |
| Description | MRC Dementia Platform |
| Organisation | Swansea University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contribute to methods for dementia ascertainment and analysis of predictors of dementia. |
| Collaborator Contribution | Promote dementia research (one of the prime research areas in the UK) |
| Impact | None at present. |
| Start Year | 2013 |
| Description | MRC Dementia Platform |
| Organisation | University College Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contribute to methods for dementia ascertainment and analysis of predictors of dementia. |
| Collaborator Contribution | Promote dementia research (one of the prime research areas in the UK) |
| Impact | None at present. |
| Start Year | 2013 |
| Description | MRC Dementia Platform |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contribute to methods for dementia ascertainment and analysis of predictors of dementia. |
| Collaborator Contribution | Promote dementia research (one of the prime research areas in the UK) |
| Impact | None at present. |
| Start Year | 2013 |
| Description | MRC Dementia Platform |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Contribute to methods for dementia ascertainment and analysis of predictors of dementia. |
| Collaborator Contribution | Promote dementia research (one of the prime research areas in the UK) |
| Impact | None at present. |
| Start Year | 2013 |
| Description | Post-doc Fellowship Norwegian Research Council |
| Organisation | University of Oslo |
| Country | Norway |
| Sector | Academic/University |
| PI Contribution | provision of data and scientific facilities |
| Collaborator Contribution | Post-doc fellow |
| Impact | Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study. Ann-Marie G. de Lange, Melis Anatürk, Tobias Kaufmann, James H. Cole, Ludovica Griffanti, Eniko Zsoldos, Daria Jensen, Sana Suri, Nicola Filippini, Archana Singh-Manoux, Mika Kivimäki, View ORCID ProfileLars T. Westlye, Klaus P. Ebmeier. doi: https://doi.org/10.1101/2020.01.28.923094 |
| Start Year | 2019 |
| Description | QT-IGC Consortium |
| Organisation | Broad Institute |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | QT-IGC Consortium |
| Organisation | Massachusetts General Hospital |
| Country | United States |
| Sector | Hospitals |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | QT-IGC Consortium |
| Organisation | National Institutes of Health (NIH) |
| Department | National Heart, Lung, and Blood Institute (NHLBI) |
| Country | United States |
| Sector | Public |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2012 |
| Description | RENEWL Consortium |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is PI. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | None at present. |
| Start Year | 2014 |
| Description | RENEWL Consortium |
| Organisation | MRC National Survey of Health and Development (NSHD) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is PI. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | None at present. |
| Start Year | 2014 |
| Description | RENEWL Consortium |
| Organisation | Queen Mary University of London |
| Department | Barts and The London School of Medicine and Dentistry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is PI. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | None at present. |
| Start Year | 2014 |
| Description | RENEWL Consortium |
| Organisation | Queen Mary University of London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is PI. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | None at present. |
| Start Year | 2014 |
| Description | RENEWL Consortium |
| Organisation | University College London |
| Department | MRC Unit for Lifelong Health and Ageing |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provide data. Mika Kivimaki is a collaborator and Jenny Head is PI. Contribute to writing manuscripts. |
| Collaborator Contribution | Analyse data and co-author papers. |
| Impact | None at present. |
| Start Year | 2014 |
| Description | School of Health Sciences, Massey University, New Zealand |
| Organisation | Massey University |
| Department | School of Public Health |
| Country | New Zealand |
| Sector | Academic/University |
| PI Contribution | I hosted a research visit for Dr Andy Towers whilst he was in the UK. Together we wrote a grant application to ESRC GCRF, submitted in Jan 2018 |
| Collaborator Contribution | Dr Andy Towers co-wrote a grant application. We have also co-authored several papers together |
| Impact | One paper under review. 3 more in preparation. Grant submitted |
| Start Year | 2016 |
| Description | Steno collaboration (Daniel Witte, Kristine Faerch, Dorte Vistisen) |
| Organisation | Steno Diabetes Center Copenhagen |
| Country | Denmark |
| Sector | Hospitals |
| PI Contribution | Providing data, blood samples and epidemiological assistance. |
| Collaborator Contribution | Data analysis, publication |
| Impact | T.M. Jensen, D.R. Witte, D. Pieragostino, J.N. McGuire, E.D. Schjerning, C. Nardi, A. Urbani, M. Kivimäki, E.J. Brunner, A.G. Tabàk, D. Vistisen D: Association between protein signals and type 2 diabetes incidence. Acta Diabetol 50:697-704, 2013; N.B. Johansen, D. Vistisen, E.J. Brunner, A.G. Tabák, M.J. Shipley, I.B. Wilkinson, C.M. McEniery, M. Roden, C. Herder, M. Kivimäki, D.R. Witte: Determinants of Aortic Stiffness: 16-Year Follow-Up of the Whitehall II Study. PLoS One 7:e37165, 2012; D. Vistisen, D.R. Witte, A.G. Tabák, E.J. Brunner, M. Kivimäki, K. Færch: Sex differences in glucose and insulin trajectories prior to diabetes diagnosis: the Whitehall II study. Acta Diabetol 51:315-9, 2014; A. Hulmán, K. Færch, D. Vistisen, J. Karsai, T.A. Nyári, A.G. Tabák, E.J. Brunner, M. Kivimäki, D.R. Witte: Effect of time of day and fasting duration on measures of glycaemia: analysis from the Whitehall II Study. Diabetologia 56:294-297, 2013; K. Færch, D.R. Witte, A.G. Tabák, L. Perreault, C. Herder, E.J Brunner, M. Kivimäki, D. Vistisen: Trajectories of cardiometabolic risk factors before diagnosis of three subtypes of type 2 diabetes: a post-hoc analysis of the longitudinal Whitehall II cohort study. Lancet Diabetes and Endocrinology 1:43-51, 2013; A. Hulmán, A.G. Tabák, T.A. Nyári, D. Vistisen, M. Kivimäki, E.J. Brunner, D.R. Witte: Effect of secular trends on age-related trajectories of cardiovascular risk factors: the Whitehall II longitudinal study 1985-2009. Int J Epidemiol 43:866-77, 2014; D Vistisen, D.R. Witte, A.G. Tabák, C. Herder, E.J. Brunner, M. Kivimäki, K. Færch: Patterns of Obesity Development before the Diagnosis of Type 2 Diabetes: The Whitehall II Cohort Study. PLoS Med. 11:e1001602, 2014 |
| Start Year | 2008 |
| Description | The MetaboChip Consortium |
| Organisation | Broad Institute |
| Department | Medical and Population Genetics Program |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, et al. (2015) The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genet 11(10): e1005378. doi:10.1371/journal.pgen.1005378 PMID: 26426971 |
| Start Year | 2009 |
| Description | The MetaboChip Consortium |
| Organisation | University of Michigan |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, et al. (2015) The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genet 11(10): e1005378. doi:10.1371/journal.pgen.1005378 PMID: 26426971 |
| Start Year | 2009 |
| Description | The MetaboChip Consortium |
| Organisation | University of Pennsylvania |
| Department | Perelman School of Medicine |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, et al. (2015) The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genet 11(10): e1005378. doi:10.1371/journal.pgen.1005378 PMID: 26426971 |
| Start Year | 2009 |
| Description | The UCL-London-School-Edinburgh-Bristol (UCLEB) consortium of population-based prospective studies. |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Member of the steering group. Providing data to collaborative analyses of cardiovascular genetics |
| Collaborator Contribution | A Hingorani UCL leads the consortium. Other partners provide data. |
| Impact | Global Lipids Genetics Consortium, Willer CJ at al. Discovery and refinement of loci associated with lipid levels.Nat Genet. 2013 Nov;45(11):1274-83. PMID: 24097068. Do R et al. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet. 2013 Nov;45(11):1345-52. PMID: 24097064. den Hoed M et al. Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nat Genet. 2013 Jun;45(6):621-31. PMID: 23583979. Berndt SI at al. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture..Nat Genet. 2013 May;45(5):501-12. PMID: 23563607 Talmud PJ at al. Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia: a case-control study. Lancet. 2013 Apr 13;381(9874):1293-301. PMID: 23433573 Shah S at al. Influence of common genetic variation on blood lipid levels, cardiovascular risk, and coronary events in two British prospective cohort studies. Eur Heart J. 2013 Apr;34(13):972-81. PMID: 22977227. Jensen AC at al. Associations of common genetic variants with age-related changes in fasting and postload glucose: evidence from 18 years of follow-up of the Whitehall II cohort. Diabetes. 2011 May;60(5):1617-23. PMID: 21441441. Scott RA et al. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat Genet. 2012 Sep;44(9):991-1005. PMID: 22885924 Manning AK et al. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat Genet. 2012 May 13;44(6):659-69. PMID: 22581228 Chambers JC at al. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma. Nat Genet. 2011 Oct 16;43(11):1131-8. International Consortium for Blood Pressure Genome-Wide Association Studies. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 2011 Sep 11;478(7367):103-9. PMID: 21909115 Kilpeläinen TO et al. Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile. Nat Genet. 2011 Jun 26;43(8):753-60. Dupuis J at al. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet. 2010 Feb;42(2):105-16. Saxena R at al. Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge. PMID: 20081857. Brunner EJ at al. Inflammation, insulin resistance, and diabetes--Mendelian randomization using CRP haplotypes points upstream. PMID: 18700811. |
| Start Year | 2009 |
| Description | The association of carotid phenotypes and haemodynamics with cardiovascular, cognitive, MRI outcomes |
| Organisation | University College London |
| Department | UCL Energy Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provide outcome variables: - Cerebrovascular and cardiovascular events: similar to mortality data, cases of non-fatal coronary heart disease or non-fatal stroke are already available in the WHII study and have been recently validated (Kivimaki et al. Epidemiology. 2017 Sep; 28(5): 735-739). - Cognition: The cognitive test battery, introduced to the study in phase 5 and repeated in phases 7, 9, and 11 (27). The tests have good test-retest reliability (range 0.6-0.9), assessed in 556 participants and retested within three months in 1997-99. We will relate our exposure variable with the following cognitive domains: memory (assessed using a 20 word free recall test), executive function (assessed with the Alice Heim 4-I test), and fluency (assessed using measures of phonemic and semantic fluency (28)). In addition to three cognitive domains, a global cognitive score will be created incorporating all tests described above by firstly using the distribution of the first wave of cognitive data to standardise the raw scores for each domain to z scores (mean=0; standard deviation=1). We will summarise these z scores and restandardise them to yield the global score, an approach that minimises measurement error inherent in individual tests (29). - Brain outcomes: white matter hyperintensities, grey/white matter volume and microstructure, brain functional measures. |
| Collaborator Contribution | John Deanfield (BHF Vandervell Professor of Cardiology at University College London) The scope of this study is to explore the relationship between carotid phenotypes, wave intensity analyses, and presence and burden of carotid plaques with the risk of cardiovascular events, cardiovascular outcomes, cognitive decline or MRI outcomes, as well as the ability of carotid parameters to modify the relationship between aortic stiffness and same outcomes. • Carotid phenotypes (carotid stiffness, distensibility, compliance, elastic modulus, wave intensity) are associated with the risk of cardiovascular events and mortality, as well as with the risk of cognitive decline or adverse brain outcomes • Carotid phenotypes modify the association between aortic pulse PWV and the risk of cardiovascular events, cardiovascular mortality and rate of cognitive decline |
| Impact | None yet |
| Start Year | 2018 |
| Description | WC elderly Collaborators |
| Organisation | National Institute for Public Health and Environment (RIVM) |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Analyse and contribute Whitehall II data to research consortium and contribute to writing manuscripts. |
| Collaborator Contribution | Provide data to pooled analyses, co-author papers, coordinate the consortium |
| Impact | None at present. |
| Start Year | 2010 |
| Description | WHII Immunity subcohort analysis |
| Organisation | University College Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Provide sample material and laboratory equipment |
| Collaborator Contribution | Postage of sample material to Finland |
| Impact | None at present. |
| Start Year | 2014 |
| Title | metagam package on CRAN |
| Description | Meta-Analysis of Generalized Additive Models in Neuroimaging Studies. Øystein Sørensen, Andreas M Brandmaier, Didac Macia Bros, Klaus Ebmeier, Paolo Ghisletta, Rogier A Kievit, Athanasia M Mowinckel, Kristine B Walhovd, Rene Westerhausen, Anders Fjell. Abstract: Analyzing data from multiple neuroimaging studies has great potential in terms of increasing statistical power, enabling detection of effects of smaller magnitude than would be possible when analyzing each study separately and also allowing to systematically investigate between-study differences. Restrictions due to privacy or proprietary data as well as more practical concerns can make it hard to share neuroimaging datasets, such that analyzing all data in a common location might be impractical or impossible. Meta-analytic methods provide a way to overcome this issue, by combining aggregated quantities like model parameters or risk ratios. Most meta-analytic tools focus on parametric statistical models, and methods for meta-analyzing semi-parametric models like generalized additive models have not been well developed. Parametric models are often not appropriate in neuroimaging, where for instance age-brain relationships may take forms that are difficult to accurately describe using such models. In this paper we introduce meta-GAM, a method for meta-analysis of generalized additive models which does not require individual participant data, and hence is suitable for increasing statistical power while upholding privacy and other regulatory concerns. We extend previous works by enabling the analysis of multiple model terms as well as multivariate smooth functions. In addition, we show how meta-analytic p-values can be computed for smooth terms. The proposed methods are shown to perform well in simulation experiments, and are demonstrated in a real data analysis on hippocampal volume and self-reported sleep quality data from the Lifebrain consortium. We argue that application of meta-GAM is especially beneficial in lifespan neuroscience and imaging genetics. The methods are implemented in an accompanying R package metagam, which is also demonstrated. arXiv:2002.02627 |
| Type Of Technology | Software |
| Year Produced | 2020 |
| Open Source License? | Yes |
| Impact | - |
| URL | https://arxiv.org/abs/2002.02627 |
| Description | "3news.com 'Working long hours could end in stroke - study says' " |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.3news.co.nz/world/working-long-hours-could-end-in-stroke--study-2015082011#axzz3k1lqKuWH |
| Description | "Alcohol across the life course." Greater London Authority. Knowledge Exchange Seminar Thursday 30th June 2016 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Annie Britton 'Alcohol across the life course.' Greater London Authority, Knowledge Exchange Seminar. (London, 30th June 2016). Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| Description | "AoL.co.uk: Consistent moderate drinking may cut risk of heart disease, study finds" |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | "AoL.co.uk: Consistent moderate drinking may cut risk of heart disease, study finds. Generated further interest in the study. " |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.aol.co.uk/living/2018/08/21/consistent-moderate-drinking-may-cut-risk-of-heart-disease-s... |
| Description | "Better Science through Better Data": memebr of the panel "Panel discussion: Looking 10 years into the future of data sharing". Organised by Wellcome Trust and Springer Nature, 25/10/2017 |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | discussion on data sharing of WHII data - Aida Sanchez |
| Year(s) Of Engagement Activity | 2017 |
| Description | "CCTV America 'Study: Working long hours may lead to stroke' " |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.cctv-america.com/2015/08/19/study-working-long-hours-may-lead-to-stroke |
| Description | "LA Times ""Workaholics are more likely to drink too much alcohol, study says"". " |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Long working hours and alcohol use: systematic review and meta-analysis of published studies and unpublished individual participant data. High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://touch.latimes.com/#section/-1/article/p2p-82528701/ |
| Description | "University Helrald 'Working Long Hours Linked To Increased Stroke, Heart Disease Risk " |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.universityherald.com/articles/22752/20150824/working-long-hours-linked-to-increased-strok... |
| Description | ''Healthy while overweight: A fat error - DocCheck News - DocCheck News'' |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | The Natural Course of Healthy Obesity Over 20 Years. Joshua A. Bell, Mark Hamer, Séverine Sabia, Archana Singh-Manoux, G. David Batty, Mika Kivimaki. Am Coll Cardiol. 2015 Jan 65;(1):101-102. doi:10.1016/j.jacc.2014.09.077 High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://news.doccheck.com/en/3085/healthy-while-overweight-a-fat-error/ |
| Description | 'Alcohol - does previous drinking matter?' Alcohol Research UK conference, 15th-16th March 2016 Birmingham |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Annie Britton ''Alcohol - does previous drinking matter?''. Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://alcoholresearchuk.org/news/alcohol-research-uk-annual-conference-2016/ |
| Description | 'Alcohol - does previous drinking matter?' Alcohol Research UK conference, 15th-16th March 2016 Birmingham |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation given to inform audience. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://alcoholresearchuk.org/news/alcohol-research-uk-annual-conference-2016/ |
| Description | 'Alcohol consumption across the life-course. What can we learn from prospective cohort studies?' Medical Council on Alcohol, London. Annie Britton |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Disseminated research results to scientific community and a high level of interest generated. |
| Year(s) Of Engagement Activity | 2014 |
| Description | 'Evidence based public health' Pasteur Institute, April, 2013. Prof Archana Singh-Manoux |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A high level of interest generated |
| Year(s) Of Engagement Activity | 2013 |
| Description | 'No link' with sitting and life expectancy. nla-eclips.com article |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Associations of sitting behaviours with all-cause mortality over a 16-year follow-up: the Whitehall II Study. High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.nla-eclips.com |
| Description | 07/09/2017, University of Manchester, "Relationships between sugar intake from sweet food and beverages, common mental disorder and depression: prospective findings from the Whitehall II cohort study", Society of Social medicine - Annual Scientific meeting |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | presenting of research to peers |
| Year(s) Of Engagement Activity | 2017 |
| Description | 12th July 2017 - Invitation to speakat a session at the Queen Elizabeth Conference II Centre, Central London. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | Civil Service conference |
| Year(s) Of Engagement Activity | 2017 |
| Description | 13th European Congress of Psychology. Stockholm, Sweden. Prof Mika Kivimaki |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | State-of-the-Art Lecture: Psychological Epidemiological: Evidence Regarding the Impact of Working Life on Individual Well-being. Disseminated research results to scientific community and generated a high level of interest |
| Year(s) Of Engagement Activity | 2013 |
| Description | 16th to 20th August: Meeting in Japan as Co-Director of Osaka University Social Determinants of Health Research Symposium. Meeting in Saitama, Japan World Congress of Epidemiology - Running a conference Symposium |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | meeting in relation to research - Japan - Eric Brunner |
| Year(s) Of Engagement Activity | 2017 |
| Description | 22nd Aug - Social Determinants of Health: Translatingevidence into Action. 30th Aug Meeting at Duke-National University of Singapore Medical School - Meeting researchers in Centre for Ageing Research and Education nd Director of Health Services and Systems Research Group. |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | promoting research at meeting in Singapore |
| Year(s) Of Engagement Activity | 2017 |
| Description | 24th May 2017 - BHF Philanthropy and Partnerships Team Research Visit |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Supporters |
| Results and Impact | BHF invited major donors to meeting to hear about our research and the value coming from BHF investment |
| Year(s) Of Engagement Activity | 2017 |
| Description | 27th meeting at Centre Jacques Cartier, Octobre 2014, Montreal, Canada. Prof Archana Singh-Manoux |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | Disseminated research to scientific community. A high level of interest generated |
| Year(s) Of Engagement Activity | 2014 |
| Description | 27th meeting at Centre Jacques Cartier, Octobre 2014, Montreal, Canada. Prof Archana Singh-Manoux |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A high level of interest generated. |
| Year(s) Of Engagement Activity | 2014 |
| Description | 30 years of drinking and risk of fatty liver disease. Kettil Bruun Society conference June 2017 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | 43rd Annual Alcohol Epidemiology Symposium of Kettil Bruun Society 2017, Sheffield, UK. - Presentation by Annie Britton |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://www.kbs2017sheffield.co.uk/ |
| Description | 30 years of drinking and risk of fatty liver disease. Kettil Bruun Society conference June 2017 - talk in Sheffield |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk at conference - Annie Britton |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://www.kbs2017sheffield.co.uk/ |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Annie Britton presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Annie Britton 'Twenty year trajectories of alcohol consumption and atherosclerosis'. Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2009,2016 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Annie Britton presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | conference participant and presentation of research |
| Year(s) Of Engagement Activity | 2017 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Annie Britton presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Annie Britton 'Twenty year trajectories of alcohol consumption and atherosclerosis'. Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Darragh O'Neill presenation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | presentation of research at conference |
| Year(s) Of Engagement Activity | 2017 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Darragh O'Neill presenation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Darragh O'Neill 'Twenty five year alcohol typologies and their role in arterial aging: A prospective cohort study.' Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Darragh O'Neill presenation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Darragh O'Neill 'Twenty five year alcohol typologies and their role in arterial aging: A prospective cohort study.' Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Steven Bell presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Steven Bell 'Ten year alcohol consumption typologies and trajectories of C-reactive protein, interleukin-6, and interleukin-1 receptor antagonist over the following twelve years: a prospective cohort study.' Presentation generated a high level of interest and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Dr Steven Bell presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Steven Bell 'Ten year alcohol consumption typologies and trajectories of C-reactive protein, interleukin-6, and interleukin-1 receptor antagonist over the following twelve years: a prospective cohort study.' Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Melanie Lacey presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | presentation at kettil conference 2016 |
| Year(s) Of Engagement Activity | 2017 |
| Description | 42nd Kettil Bruun Society Annual Alcohol Epidemiology Symposium. Stockholm 31st May to 3rd June 2016. Melanie Lacey presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Melanie Lacey 'Alcohol consumption and metabolite markers of coronary heart disease risk.' Presentation generated a high level of interest and sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2016 |
| Description | 50th international conference of the European Association for the Study of Diabetes. Vienna, Austria. Prof Mika Kivimaki. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | State-of-the Art lecture: Pathophysiological mechanisms linking between social inequalities and diabetes risk. EASD 2014, Vienna, Spain Disseminated research results to scientific community and generated a high level of interest |
| Year(s) Of Engagement Activity | 2014 |
| Description | 52nd Annual Meeting of EDEG the European Diabetes Epidemiology Group Dubrovnik, Croatia. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Academic conference and networking |
| Year(s) Of Engagement Activity | 2017 |
| Description | 82nd European Atherosclerosis Society Congress, Madrid, Spain. Prof Mika Kivimaki |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | Invited Plenary: Stress, socioeconomic status and cardiovascular disease risk: An update on current knowledge. 82nd European Atherosclerosis Society Congress, Madrid, Spain. Disseminated research results to scientific community and generated a high level of interest |
| Year(s) Of Engagement Activity | 2014 |
| Description | AAN press release - Tests to Predict Heart Problems and Stroke May Be More Useful Predictor of Memory Loss than Dementia Tests |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Kaffashian S, Dugravot A, Elbaz A, Shipley M, Sabia S, Kivimaki M, Singh-Manoux A. Predicting cognitive decline: A dementia risk score vs. the Framingham vascular risk scores. Neurology 2013; 80: 1300-6. High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2013 |
| URL | https://www.aan.com/PressRoom/home/PressRelease/1173 |
| Description | AAN press release - Tests to Predict Heart Problems and Stroke May Be More Useful Predictor of Memory Loss than Dementia Tests |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Kaffashian S, Dugravot A, Elbaz A, Shipley M, Sabia S, Kivimaki M, Singh-Manoux A. Predicting cognitive decline: A dementia risk score vs. the Framingham vascular risk scores. Neurology 2013; 80: 1300-6. High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2013 |
| URL | https://www.aan.com/PressRoom/home/PressRelease/1173 |
| Description | ABC News 'Employees Working Long Hours Face Increased Risk of Stroke, Study Finds' |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://abcnews.go.com/Health/employees-working-long-hours-face-increased-risk-stroke/story?id=332109... |
| Description | ABC News Radio article - Working Long and Hard May Heighten Diabetes Risk |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Long working hours, socioeconomic status, and the risk of incident type 2 diabetes: a meta-analysis of published and unpublished data from 222 120 individual. High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://abcnewsradioonline.com/health-news/working-long-and-hard-may-heighten-diabetes-risk.html |
| Description | ABC News Radio article - Working Long and Hard May Heighten Diabetes Risk |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Long working hours, socioeconomic status, and the risk of incident type 2 diabetes: a meta-analysis of published and unpublished data from 222 120 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://abcnewsradioonline.com/health-news/working-long-and-hard-may-heighten-diabetes-risk.html |
| Description | ABC Sceince 'Long work hours linked to higher risk of stroke' |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Health professionals |
| Results and Impact | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.abc.net.au/science/articles/2015/08/20/4296956.htm |
| Description | ABSTINENCE AND HEAVY DRINKING COULD INCREASE DEMENTIA RISK, STUDY SAYS |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Article on 'Alcohol consumption and risk of dementia: 23 year follow-up of Whitehall II cohort study'. High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.wokv.com/news/national/abstinence-and-heavy-drinking-could-increase-dementia-risk-study-... |
| Description | AJM press release - Following a Western Style Diet May Lead to Greater Risk of Premature Death |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Does overall diet in midlife predict future aging phenotypes? A cohort study. Am J Med. 2013 May;126(5):411-419 High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2013,2014 |
| URL | http://www.sciencedaily.com/releases/2013/04/130415124542.htm |
| Description | AJP 'Long working hours linked to higher risk of stroke' |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Health professionals |
| Results and Impact | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://ajp.com.au/news/long-working-hours-linked-to-higher-risk-of-stroke/ |
| Description | AOL 'Working long hours can increase stroke risk, research finds' |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603 838 individuals High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.aol.co.uk/2015/08/20/working-long-hours-can-increase-stroke-risk-research-finds/ |
| Description | AOL article on 'Socioeconomic status and the 25?×?25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women.' Stringhini S et al. |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | AOL article 'Poverty shortens your life more than drinking or obesity, researchers find' resulting in a high level of media coverage ensuring that study results were available to a wider audience, including the general public |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://www.aol.co.uk/living/2017/01/31/poverty-shortens-your-life-more-than-drinking-or-obesity-rese... |
| Description | Advisory group German multi-cohort research consortium on mental health |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Attending an advisory group meeting of GESA, a German multi-cohort research consortium on mental health, to advise on their research activity. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Advocator article 'Men At Higher Risk of Early Death Due to Work Stress' on Work stress and risk of death in men and women with and without cardiometabolic disease: a multicohort study. Kivimkai et al. Lancet Diabetes Endocrinol. |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Advocator article reporting fidings of the study. High level of media coverage ensuring that study results were available to a wider audience, including the general public. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://advocator.ca/news/men-at-higher-risk-of-early-death-due-to-work-stress/2738 |
| Description | Aida Sanchez - The Data Dialogue: When Research Crosses Borders, 29th September, Jesus College (Oxford) organised by the Science and Engineering S |