Genes & Health Longitudinal Population Study
Lead Research Organisation:
Queen Mary University of London
Department Name: Wolfson Institute of Population Health
Abstract
Genes & Health is a large study involving British Bangladeshi and Pakistani people in health research. People from these backgrounds experience higher rates of ill health compared to White Europeans (e.g. type 2 diabetes and cardiovascular disease are four times and twice as common, respectively). The health inequalities faced by British south Asians are further exacerbated by their underrepresentation in health and genomic research. For example, only ~2% of participants in global genome-wide association studies (one of the commonest types of genetic study) are south Asian despite making up ~25% of the world's population. Genes & Health is succeeding in redressing some of this imbalance and is proving a valuable contributor to the global research stage.
Since it started in 2015, Genes & Health has managed to recruit 50,455 volunteers, through extensive and lasting engagement with the communities it represents. Genes & Health exists as a scientific resource available for a global research community to use, thereby ensure that the greatest benefits to health are achieved from the contributions of these volunteers. Through the research that Genes & Health has already supported, it has already had several major impacts, including:
i. Discovering how complete gene knockouts contribute to health and disease
ii. Supporting development of a new drug (Lumasiran) for a rare genetic disease causing severe ill-health in children
iii. A significant contribution to a consortium uncovering how our genes make us more susceptible to developing, or getting unwell from, COVID-19
iv. Improving the prediction of who is at risk of developing type 2 diabetes using genetic data
v. Uncovering a new biological pathway involved in childhood growth and puberty
Despite these early successes, Genes & Health is now at a critical phase, with its sustainability and potential for growth uncertain. With funding from the MRC Longitudinal Population Study scheme, Genes & Health will be able to sustain itself as a long-term study of health and disease in this underrepresented population of British south Asians, working together with other valuable research cohort studies for maximal benefit. This funding will also allow Genes & Health to grow and better address areas of health need which remain unmet, including mental health and pregnancy health.
Our proposal focuses on the following areas:
1. Supporting the overall sustainability of Genes & Health through support of its core research team, beyond the duration of its current infrastructure funding, and to generate rich longitudinal data.
2. Delivering growth of Genes & Health 'recall' studies, where its existing volunteers are invited to participate in additional research, and where significant added value lies
3. Expanding data collection in mental health and pregnancy, to address areas of unmet health need
4. Growing the Genes & Health data resource to ensure it can be aligned to other cohort research studies to ensure analyses that are greater than the sum of their parts.
To do this, we seek additional funding, which will support the input of some additional senior academic experts, and an expanded team of individuals to deliver our ambition.
Since it started in 2015, Genes & Health has managed to recruit 50,455 volunteers, through extensive and lasting engagement with the communities it represents. Genes & Health exists as a scientific resource available for a global research community to use, thereby ensure that the greatest benefits to health are achieved from the contributions of these volunteers. Through the research that Genes & Health has already supported, it has already had several major impacts, including:
i. Discovering how complete gene knockouts contribute to health and disease
ii. Supporting development of a new drug (Lumasiran) for a rare genetic disease causing severe ill-health in children
iii. A significant contribution to a consortium uncovering how our genes make us more susceptible to developing, or getting unwell from, COVID-19
iv. Improving the prediction of who is at risk of developing type 2 diabetes using genetic data
v. Uncovering a new biological pathway involved in childhood growth and puberty
Despite these early successes, Genes & Health is now at a critical phase, with its sustainability and potential for growth uncertain. With funding from the MRC Longitudinal Population Study scheme, Genes & Health will be able to sustain itself as a long-term study of health and disease in this underrepresented population of British south Asians, working together with other valuable research cohort studies for maximal benefit. This funding will also allow Genes & Health to grow and better address areas of health need which remain unmet, including mental health and pregnancy health.
Our proposal focuses on the following areas:
1. Supporting the overall sustainability of Genes & Health through support of its core research team, beyond the duration of its current infrastructure funding, and to generate rich longitudinal data.
2. Delivering growth of Genes & Health 'recall' studies, where its existing volunteers are invited to participate in additional research, and where significant added value lies
3. Expanding data collection in mental health and pregnancy, to address areas of unmet health need
4. Growing the Genes & Health data resource to ensure it can be aligned to other cohort research studies to ensure analyses that are greater than the sum of their parts.
To do this, we seek additional funding, which will support the input of some additional senior academic experts, and an expanded team of individuals to deliver our ambition.
Technical Summary
Genes & Health is a cohort study British Bangladeshis and Pakistanis, who experience some of the highest rates of ill health in the UK, and are significantly underrepresented in research studies.
Since 2015, Genes & Health has recruited 50,455 volunteers and has an extensive data resource. The resource comprises a longitudinal health data resource of ~700,000 person/years of follow up, Illumina GSA chip data on 45,000 of its volunteers, and exome sequencing of 50,000 volunteers (due for completion in 2022).
Genes & Health has already had major research successes, with outputs related to rare gene variant discovery, drug development, genome wide association studies and polygenic risk scores, and >15 REF 4* publications including Nature, Science, New England Journal of Medicine. A new Life Sciences Partnership is funding its exome sequencing, and the cohort contributes to multiple international research consortia, and it has attracted £40 million in research funding.
This proposal would provide critical support to the sustainability and growth of Genes & Health, particularly focusing on areas of unmet health need. We plan to expand volunteer recall studies, a near-unique feature of Genes & Health. We will develop a high-throughput online recall platform and will use it to perform cohort-wide mental health and cognitive phenotyping of 25,000 volunteers, before making it available for wider use. We will expand recruitment to build a pregnancy cohort of 20,000 pregnancies, of which 5,000 will be mother-child dyads and 2,000 complete trios. Finally, we will ensure the readiness of Genes & Health for cross-cohort analyses by harmonising ongoing data collection with other bioresources (e.g. UK Biobank).
Our proposal has been carefully tailored to ensure non-duplication of funding to support maximum gain, and brings in world-leading subject experts. We have followed MRC guidance to request only infrastructure support, and do not include any research questions.
Since 2015, Genes & Health has recruited 50,455 volunteers and has an extensive data resource. The resource comprises a longitudinal health data resource of ~700,000 person/years of follow up, Illumina GSA chip data on 45,000 of its volunteers, and exome sequencing of 50,000 volunteers (due for completion in 2022).
Genes & Health has already had major research successes, with outputs related to rare gene variant discovery, drug development, genome wide association studies and polygenic risk scores, and >15 REF 4* publications including Nature, Science, New England Journal of Medicine. A new Life Sciences Partnership is funding its exome sequencing, and the cohort contributes to multiple international research consortia, and it has attracted £40 million in research funding.
This proposal would provide critical support to the sustainability and growth of Genes & Health, particularly focusing on areas of unmet health need. We plan to expand volunteer recall studies, a near-unique feature of Genes & Health. We will develop a high-throughput online recall platform and will use it to perform cohort-wide mental health and cognitive phenotyping of 25,000 volunteers, before making it available for wider use. We will expand recruitment to build a pregnancy cohort of 20,000 pregnancies, of which 5,000 will be mother-child dyads and 2,000 complete trios. Finally, we will ensure the readiness of Genes & Health for cross-cohort analyses by harmonising ongoing data collection with other bioresources (e.g. UK Biobank).
Our proposal has been carefully tailored to ensure non-duplication of funding to support maximum gain, and brings in world-leading subject experts. We have followed MRC guidance to request only infrastructure support, and do not include any research questions.
Organisations
- Queen Mary University of London (Lead Research Organisation)
- Council of Scientific and Industrial Research (CSIR) (Collaboration)
- University of Cambridge (Collaboration)
- Novo Nordisk (Collaboration)
- Takeda Pharmaceutical Company (Collaboration)
- The Wellcome Trust Sanger Institute (Collaboration)
- MERCK (Collaboration)
- Astrazeneca (Collaboration)
- KEM Hospital, Pune (Collaboration)
- Bristol-Myers Squibb (Collaboration)
- Pfizer Inc (Collaboration)
- London School of Hygiene and Tropical Medicine (LSHTM) (Collaboration)
- University of Exeter (Collaboration)
- GlaxoSmithKline (GSK) (Collaboration)
- Wellcome Sanger Institute (Project Partner)
- London Borough of Waltham Forest (Project Partner)
- University of Cambridge (Project Partner)
- Bradford Teaching Hospitals NHS Foundation Trust (Project Partner)
- UNIVERSITY OF EXETER (Project Partner)
- Social Action for Health (Project Partner)
- King's College London (Project Partner)
Publications
Burley K
(2023)
PIK3R3 is a candidate regulator of platelet count in people of Bangladeshi ancestry.
in Research and practice in thrombosis and haemostasis
COVID-19 Host Genetics Initiative
(2023)
A second update on mapping the human genetic architecture of COVID-19.
in Nature
Law JH
(2023)
Advancing the communication of genetic risk for cardiometabolic diseases: a critical interpretive synthesis.
in BMC medicine
Magavern E
(2023)
British South Asian ancestry participants views of pharmacogenomics clinical implementation and research: a thematic analysis
in The Pharmacogenomics Journal
Magavern E
(2023)
SLCO1B1*5 is protective against non-senile cataracts in cohort prescribed statins: analysis in a British-South Asian cohort
in European Heart Journal
| Description | Discovering therapeutic mechanisms and predicting psychological treatment outcome: towards stratified interventions for anxiety |
| Amount | $4,880,022 (CAD) |
| Funding ID | 301587 |
| Organisation | Wellcome Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2024 |
| End | 03/2030 |
| Description | Investigating five large population-based cohort studies to understand for the precursors of multimorbidity risk. |
| Amount | £74,159 (GBP) |
| Funding ID | MR/V004905/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2020 |
| End | 02/2021 |
| Description | Multimorbidity clusters, trajectories and genetic risk, in British south Asians |
| Amount | £505,647 (GBP) |
| Funding ID | MR/S027297/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 05/2023 |
| Description | Towards a type 2 diabetes precision diagnosis approach with glycated haemoglobin (HbA1c) measurement |
| Amount | $4,940,184 (CAD) |
| Funding ID | 227897 |
| Organisation | Wellcome Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 02/2024 |
| End | 02/2032 |
| Title | Genes & Health mental health and cognitive questionnaire |
| Description | We have developed and optimised a bespoke questionnaire assessment of mental and cognitive health for use in Genes & Health as part of our MRC LPS work. This comprises validated instruments and has been developed to ensure cultural appropriateness and sensitivity, as well as successful delivery in a population of research volunteers who have not previously been invited to participate in questionnaire surveys. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2024 |
| Provided To Others? | No |
| Impact | Pilot testing of questionnaire prior to delivery to whole Genes & Health cohort in 2025 |
| Title | Genes & Health data resource |
| Description | Genes & Health holds a large data resource that includes: - multiple NHS health data linkages from primary and secondary care and national sources (65k) - Illumina GSAv3 genotyping chip (45k) - high depth exome sequencing (55k) - plasma multi-omics (2.1K) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Multiple research publications, available here https://docs.google.com/document/d/1aMzR64u8trBGw2LvzjM0Ko45X6s53lLezUVXcLJQEBc/edit?tab=t.0 |
| URL | https://www.genesandhealth.org/researchers/data/ |
| Description | Genes & Health Life Sciences partnership |
| Organisation | AstraZeneca |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Delivery of the Genes & Health programme, including (health and genomic) data collection available to external partners. Scientific contributions to health data analysis. |
| Collaborator Contribution | Financial contribution - £28million in total from all partners. Scientific contribution to the analysis of genomic and health data |
| Impact | Exam sequencing of 50k research volunteers Setup of google cloud trusted research environment |
| Start Year | 2022 |
| Description | Genes & Health Life Sciences partnership |
| Organisation | Bristol-Myers Squibb |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Delivery of the Genes & Health programme, including (health and genomic) data collection available to external partners. Scientific contributions to health data analysis. |
| Collaborator Contribution | Financial contribution - £28million in total from all partners. Scientific contribution to the analysis of genomic and health data |
| Impact | Exam sequencing of 50k research volunteers Setup of google cloud trusted research environment |
| Start Year | 2022 |
| Description | Genes & Health Life Sciences partnership |
| Organisation | GlaxoSmithKline (GSK) |
| Department | GlaxoSmithKline, Stevenage |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Delivery of the Genes & Health programme, including (health and genomic) data collection available to external partners. Scientific contributions to health data analysis. |
| Collaborator Contribution | Financial contribution - £28million in total from all partners. Scientific contribution to the analysis of genomic and health data |
| Impact | Exam sequencing of 50k research volunteers Setup of google cloud trusted research environment |
| Start Year | 2022 |
| Description | Genes & Health Life Sciences partnership |
| Organisation | Merck |
| Department | Merck Sharp and Dohme Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Delivery of the Genes & Health programme, including (health and genomic) data collection available to external partners. Scientific contributions to health data analysis. |
| Collaborator Contribution | Financial contribution - £28million in total from all partners. Scientific contribution to the analysis of genomic and health data |
| Impact | Exam sequencing of 50k research volunteers Setup of google cloud trusted research environment |
| Start Year | 2022 |
| Description | Genes & Health Life Sciences partnership |
| Organisation | Novo Nordisk |
| Department | Novo Nordisk Research Centre Oxford |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Delivery of the Genes & Health programme, including (health and genomic) data collection available to external partners. Scientific contributions to health data analysis. |
| Collaborator Contribution | Financial contribution - £28million in total from all partners. Scientific contribution to the analysis of genomic and health data |
| Impact | Exam sequencing of 50k research volunteers Setup of google cloud trusted research environment |
| Start Year | 2022 |
| Description | Genes & Health Life Sciences partnership |
| Organisation | Pfizer Inc |
| Department | Pfizer Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Delivery of the Genes & Health programme, including (health and genomic) data collection available to external partners. Scientific contributions to health data analysis. |
| Collaborator Contribution | Financial contribution - £28million in total from all partners. Scientific contribution to the analysis of genomic and health data |
| Impact | Exam sequencing of 50k research volunteers Setup of google cloud trusted research environment |
| Start Year | 2022 |
| Description | Genes & Health Life Sciences partnership |
| Organisation | Takeda Pharmaceutical Company |
| Department | Takeda Pharmaceutical Company Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Delivery of the Genes & Health programme, including (health and genomic) data collection available to external partners. Scientific contributions to health data analysis. |
| Collaborator Contribution | Financial contribution - £28million in total from all partners. Scientific contribution to the analysis of genomic and health data |
| Impact | Exam sequencing of 50k research volunteers Setup of google cloud trusted research environment |
| Start Year | 2022 |
| Description | Genes & Health metabolic research consortium |
| Organisation | Council of Scientific and Industrial Research (CSIR) |
| Department | Centre for Cellular and Molecular Biology (CCMB) |
| Country | India |
| Sector | Academic/University |
| PI Contribution | I lead a large interdisciplinary research programme, embedded in Genes & Health, that is using interdisciplinary methods to better understand the role of genetics on metabolic health in British south Asians. This work spans rare variant gene discovery (collaborating with Prof Sir Steve O'Rahilly's team in Cambridge) and the generation of ancestry-specific polygenic risk scores for for clinical application. |
| Collaborator Contribution | University of Cambridge (Prof Sir Steve O'Rahilly) - rare gene variant discovery, functional characterisation and validation in population based cohorts University of Exeter (Richard Oram, Mike Weedon) - construction and testing of type 1 diabetes polygenic risk scores and its application to studies of diabetes misclassification London School of Hygiene and Tropical Medicine (Rohini Mathur) - advanced epidemiological analysis of real world data in British south Asians Wellcome Trust Sanger Institute (Hilary Martin) - construction and testing of polygenic risks scores KEM Hospital Pune (Ranjan Yajnik) - reference/validation south Asian populations and understanding of phenotype-genotype correlation CSIR (Giriraj Chandak) - GWAS and polygenic risk score generation in south Asian populations |
| Impact | 1. Lam BYH*, Williamson A*, Finer S*(*joint first authors), Day F, Tadross JA,Gonçalves Soares A, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova EG, Genes & Health Research Team, Trembath RC, Martin HC, Coll AP, Rowitch DH, Wareham NJ, van Heel DA, Timpson N, Simerly RB, Ong KK, Cone, RD, Langenberg C*, Perry JRB*, Yeo GS*, O'Rahilly S*. (2021). MC3R links nutritional state to childhood growth and the timing of puberty. Nature, in press (2020-12-22599D) 2. Mathur R, Hull SA, Hodgson S, Finer S (2021). Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database. British Journal of General Practice. 2022 Feb. https://doi.org/10.3399/BJGP.2021.0508 3. Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, Beaumont RN, Canouil M, Hatem G, Heiskala A, Joensuu A, Karhunen V, Kwak SH, Lin FTJ, Liu J, Rifas-Shiman S, Tam CH, Tam WH, Thorleifsson G, Andrew T, Auvinen J, Bhowmik B, Bonnefond A, Delahaye F, Demirkan A, Froguel P, Haller-Kikkatalo K, Hardardottir H, Hummel S, Hussain A, Kajantie E, Keikkala E, Khamis A, Lahti J, Lekva T, Mustaniemi S, Sommer C, Tagoma A, Tzala E, Uibo R, Vääräsmäki M, Villa PM, Birkeland KI, Bouchard L, Duijn CM, Finer S, Groop L, Hämäläinen E, Hayes GM, Hitman GA, Jang HC, Järvelin MR, Jenum AK, Laivuori H, Ma RC, Melander O, Oken E, Park KS, Perron P, Prasad RB, Qvigstad E, Sebert S, Stefansson K, Steinthorsdottir V, Tuomi T, Hivert MF, Franks PW, McCarthy MI, Lindgren CM, Freathy RM, Lawlor DA, Morris AP, Mägi R. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet. 2022 Feb 26: Epub ahead of print. PMID: 35220425. 4. Nongmaithem SS, Beaumont RN, Dedaniya A, Wood AR, Ogunkolade BW, Hassan Z, Krishnaveni GV, Kumaran K, Potdar RD, Sahariah SA, Krishna M, Di Gravio C, Mali ID, Sankareswaran A, Hussain A, Bhowmik BW, Khan AKA, Knight BA, Frayling TM, Finer S, Fall CH, Yajnik CS, Freathy RM, Hitman GA, Chandak GR. Babies of South Asian and European Ancestry Show Similar Associations with Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns. Diabetes. 2022 Jan. Epub ahead of print. PMID: 35061033. 5. Hodgson S, Huang Q, Sallah N, Genes & Health Research Team, Griffiths CG, Newman WG, Trembath RC, Lumbers T, Kuchenbaecker K, van Heel DA, Mathur R, Martin H, Finer S (2021) Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting. MedRxiv Preprint (under review with PLoS Medicine) https://www.medrxiv.org/content/10.1101/2021.07.12.21259837v1.full.pdf. |
| Start Year | 2020 |
| Description | Genes & Health metabolic research consortium |
| Organisation | KEM Hospital, Pune |
| Country | India |
| Sector | Hospitals |
| PI Contribution | I lead a large interdisciplinary research programme, embedded in Genes & Health, that is using interdisciplinary methods to better understand the role of genetics on metabolic health in British south Asians. This work spans rare variant gene discovery (collaborating with Prof Sir Steve O'Rahilly's team in Cambridge) and the generation of ancestry-specific polygenic risk scores for for clinical application. |
| Collaborator Contribution | University of Cambridge (Prof Sir Steve O'Rahilly) - rare gene variant discovery, functional characterisation and validation in population based cohorts University of Exeter (Richard Oram, Mike Weedon) - construction and testing of type 1 diabetes polygenic risk scores and its application to studies of diabetes misclassification London School of Hygiene and Tropical Medicine (Rohini Mathur) - advanced epidemiological analysis of real world data in British south Asians Wellcome Trust Sanger Institute (Hilary Martin) - construction and testing of polygenic risks scores KEM Hospital Pune (Ranjan Yajnik) - reference/validation south Asian populations and understanding of phenotype-genotype correlation CSIR (Giriraj Chandak) - GWAS and polygenic risk score generation in south Asian populations |
| Impact | 1. Lam BYH*, Williamson A*, Finer S*(*joint first authors), Day F, Tadross JA,Gonçalves Soares A, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova EG, Genes & Health Research Team, Trembath RC, Martin HC, Coll AP, Rowitch DH, Wareham NJ, van Heel DA, Timpson N, Simerly RB, Ong KK, Cone, RD, Langenberg C*, Perry JRB*, Yeo GS*, O'Rahilly S*. (2021). MC3R links nutritional state to childhood growth and the timing of puberty. Nature, in press (2020-12-22599D) 2. Mathur R, Hull SA, Hodgson S, Finer S (2021). Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database. British Journal of General Practice. 2022 Feb. https://doi.org/10.3399/BJGP.2021.0508 3. Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, Beaumont RN, Canouil M, Hatem G, Heiskala A, Joensuu A, Karhunen V, Kwak SH, Lin FTJ, Liu J, Rifas-Shiman S, Tam CH, Tam WH, Thorleifsson G, Andrew T, Auvinen J, Bhowmik B, Bonnefond A, Delahaye F, Demirkan A, Froguel P, Haller-Kikkatalo K, Hardardottir H, Hummel S, Hussain A, Kajantie E, Keikkala E, Khamis A, Lahti J, Lekva T, Mustaniemi S, Sommer C, Tagoma A, Tzala E, Uibo R, Vääräsmäki M, Villa PM, Birkeland KI, Bouchard L, Duijn CM, Finer S, Groop L, Hämäläinen E, Hayes GM, Hitman GA, Jang HC, Järvelin MR, Jenum AK, Laivuori H, Ma RC, Melander O, Oken E, Park KS, Perron P, Prasad RB, Qvigstad E, Sebert S, Stefansson K, Steinthorsdottir V, Tuomi T, Hivert MF, Franks PW, McCarthy MI, Lindgren CM, Freathy RM, Lawlor DA, Morris AP, Mägi R. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet. 2022 Feb 26: Epub ahead of print. PMID: 35220425. 4. Nongmaithem SS, Beaumont RN, Dedaniya A, Wood AR, Ogunkolade BW, Hassan Z, Krishnaveni GV, Kumaran K, Potdar RD, Sahariah SA, Krishna M, Di Gravio C, Mali ID, Sankareswaran A, Hussain A, Bhowmik BW, Khan AKA, Knight BA, Frayling TM, Finer S, Fall CH, Yajnik CS, Freathy RM, Hitman GA, Chandak GR. Babies of South Asian and European Ancestry Show Similar Associations with Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns. Diabetes. 2022 Jan. Epub ahead of print. PMID: 35061033. 5. Hodgson S, Huang Q, Sallah N, Genes & Health Research Team, Griffiths CG, Newman WG, Trembath RC, Lumbers T, Kuchenbaecker K, van Heel DA, Mathur R, Martin H, Finer S (2021) Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting. MedRxiv Preprint (under review with PLoS Medicine) https://www.medrxiv.org/content/10.1101/2021.07.12.21259837v1.full.pdf. |
| Start Year | 2020 |
| Description | Genes & Health metabolic research consortium |
| Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I lead a large interdisciplinary research programme, embedded in Genes & Health, that is using interdisciplinary methods to better understand the role of genetics on metabolic health in British south Asians. This work spans rare variant gene discovery (collaborating with Prof Sir Steve O'Rahilly's team in Cambridge) and the generation of ancestry-specific polygenic risk scores for for clinical application. |
| Collaborator Contribution | University of Cambridge (Prof Sir Steve O'Rahilly) - rare gene variant discovery, functional characterisation and validation in population based cohorts University of Exeter (Richard Oram, Mike Weedon) - construction and testing of type 1 diabetes polygenic risk scores and its application to studies of diabetes misclassification London School of Hygiene and Tropical Medicine (Rohini Mathur) - advanced epidemiological analysis of real world data in British south Asians Wellcome Trust Sanger Institute (Hilary Martin) - construction and testing of polygenic risks scores KEM Hospital Pune (Ranjan Yajnik) - reference/validation south Asian populations and understanding of phenotype-genotype correlation CSIR (Giriraj Chandak) - GWAS and polygenic risk score generation in south Asian populations |
| Impact | 1. Lam BYH*, Williamson A*, Finer S*(*joint first authors), Day F, Tadross JA,Gonçalves Soares A, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova EG, Genes & Health Research Team, Trembath RC, Martin HC, Coll AP, Rowitch DH, Wareham NJ, van Heel DA, Timpson N, Simerly RB, Ong KK, Cone, RD, Langenberg C*, Perry JRB*, Yeo GS*, O'Rahilly S*. (2021). MC3R links nutritional state to childhood growth and the timing of puberty. Nature, in press (2020-12-22599D) 2. Mathur R, Hull SA, Hodgson S, Finer S (2021). Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database. British Journal of General Practice. 2022 Feb. https://doi.org/10.3399/BJGP.2021.0508 3. Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, Beaumont RN, Canouil M, Hatem G, Heiskala A, Joensuu A, Karhunen V, Kwak SH, Lin FTJ, Liu J, Rifas-Shiman S, Tam CH, Tam WH, Thorleifsson G, Andrew T, Auvinen J, Bhowmik B, Bonnefond A, Delahaye F, Demirkan A, Froguel P, Haller-Kikkatalo K, Hardardottir H, Hummel S, Hussain A, Kajantie E, Keikkala E, Khamis A, Lahti J, Lekva T, Mustaniemi S, Sommer C, Tagoma A, Tzala E, Uibo R, Vääräsmäki M, Villa PM, Birkeland KI, Bouchard L, Duijn CM, Finer S, Groop L, Hämäläinen E, Hayes GM, Hitman GA, Jang HC, Järvelin MR, Jenum AK, Laivuori H, Ma RC, Melander O, Oken E, Park KS, Perron P, Prasad RB, Qvigstad E, Sebert S, Stefansson K, Steinthorsdottir V, Tuomi T, Hivert MF, Franks PW, McCarthy MI, Lindgren CM, Freathy RM, Lawlor DA, Morris AP, Mägi R. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet. 2022 Feb 26: Epub ahead of print. PMID: 35220425. 4. Nongmaithem SS, Beaumont RN, Dedaniya A, Wood AR, Ogunkolade BW, Hassan Z, Krishnaveni GV, Kumaran K, Potdar RD, Sahariah SA, Krishna M, Di Gravio C, Mali ID, Sankareswaran A, Hussain A, Bhowmik BW, Khan AKA, Knight BA, Frayling TM, Finer S, Fall CH, Yajnik CS, Freathy RM, Hitman GA, Chandak GR. Babies of South Asian and European Ancestry Show Similar Associations with Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns. Diabetes. 2022 Jan. Epub ahead of print. PMID: 35061033. 5. Hodgson S, Huang Q, Sallah N, Genes & Health Research Team, Griffiths CG, Newman WG, Trembath RC, Lumbers T, Kuchenbaecker K, van Heel DA, Mathur R, Martin H, Finer S (2021) Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting. MedRxiv Preprint (under review with PLoS Medicine) https://www.medrxiv.org/content/10.1101/2021.07.12.21259837v1.full.pdf. |
| Start Year | 2020 |
| Description | Genes & Health metabolic research consortium |
| Organisation | The Wellcome Trust Sanger Institute |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | I lead a large interdisciplinary research programme, embedded in Genes & Health, that is using interdisciplinary methods to better understand the role of genetics on metabolic health in British south Asians. This work spans rare variant gene discovery (collaborating with Prof Sir Steve O'Rahilly's team in Cambridge) and the generation of ancestry-specific polygenic risk scores for for clinical application. |
| Collaborator Contribution | University of Cambridge (Prof Sir Steve O'Rahilly) - rare gene variant discovery, functional characterisation and validation in population based cohorts University of Exeter (Richard Oram, Mike Weedon) - construction and testing of type 1 diabetes polygenic risk scores and its application to studies of diabetes misclassification London School of Hygiene and Tropical Medicine (Rohini Mathur) - advanced epidemiological analysis of real world data in British south Asians Wellcome Trust Sanger Institute (Hilary Martin) - construction and testing of polygenic risks scores KEM Hospital Pune (Ranjan Yajnik) - reference/validation south Asian populations and understanding of phenotype-genotype correlation CSIR (Giriraj Chandak) - GWAS and polygenic risk score generation in south Asian populations |
| Impact | 1. Lam BYH*, Williamson A*, Finer S*(*joint first authors), Day F, Tadross JA,Gonçalves Soares A, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova EG, Genes & Health Research Team, Trembath RC, Martin HC, Coll AP, Rowitch DH, Wareham NJ, van Heel DA, Timpson N, Simerly RB, Ong KK, Cone, RD, Langenberg C*, Perry JRB*, Yeo GS*, O'Rahilly S*. (2021). MC3R links nutritional state to childhood growth and the timing of puberty. Nature, in press (2020-12-22599D) 2. Mathur R, Hull SA, Hodgson S, Finer S (2021). Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database. British Journal of General Practice. 2022 Feb. https://doi.org/10.3399/BJGP.2021.0508 3. Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, Beaumont RN, Canouil M, Hatem G, Heiskala A, Joensuu A, Karhunen V, Kwak SH, Lin FTJ, Liu J, Rifas-Shiman S, Tam CH, Tam WH, Thorleifsson G, Andrew T, Auvinen J, Bhowmik B, Bonnefond A, Delahaye F, Demirkan A, Froguel P, Haller-Kikkatalo K, Hardardottir H, Hummel S, Hussain A, Kajantie E, Keikkala E, Khamis A, Lahti J, Lekva T, Mustaniemi S, Sommer C, Tagoma A, Tzala E, Uibo R, Vääräsmäki M, Villa PM, Birkeland KI, Bouchard L, Duijn CM, Finer S, Groop L, Hämäläinen E, Hayes GM, Hitman GA, Jang HC, Järvelin MR, Jenum AK, Laivuori H, Ma RC, Melander O, Oken E, Park KS, Perron P, Prasad RB, Qvigstad E, Sebert S, Stefansson K, Steinthorsdottir V, Tuomi T, Hivert MF, Franks PW, McCarthy MI, Lindgren CM, Freathy RM, Lawlor DA, Morris AP, Mägi R. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet. 2022 Feb 26: Epub ahead of print. PMID: 35220425. 4. Nongmaithem SS, Beaumont RN, Dedaniya A, Wood AR, Ogunkolade BW, Hassan Z, Krishnaveni GV, Kumaran K, Potdar RD, Sahariah SA, Krishna M, Di Gravio C, Mali ID, Sankareswaran A, Hussain A, Bhowmik BW, Khan AKA, Knight BA, Frayling TM, Finer S, Fall CH, Yajnik CS, Freathy RM, Hitman GA, Chandak GR. Babies of South Asian and European Ancestry Show Similar Associations with Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns. Diabetes. 2022 Jan. Epub ahead of print. PMID: 35061033. 5. Hodgson S, Huang Q, Sallah N, Genes & Health Research Team, Griffiths CG, Newman WG, Trembath RC, Lumbers T, Kuchenbaecker K, van Heel DA, Mathur R, Martin H, Finer S (2021) Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting. MedRxiv Preprint (under review with PLoS Medicine) https://www.medrxiv.org/content/10.1101/2021.07.12.21259837v1.full.pdf. |
| Start Year | 2020 |
| Description | Genes & Health metabolic research consortium |
| Organisation | University of Cambridge |
| Department | Metabolic Research Laboratories |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I lead a large interdisciplinary research programme, embedded in Genes & Health, that is using interdisciplinary methods to better understand the role of genetics on metabolic health in British south Asians. This work spans rare variant gene discovery (collaborating with Prof Sir Steve O'Rahilly's team in Cambridge) and the generation of ancestry-specific polygenic risk scores for for clinical application. |
| Collaborator Contribution | University of Cambridge (Prof Sir Steve O'Rahilly) - rare gene variant discovery, functional characterisation and validation in population based cohorts University of Exeter (Richard Oram, Mike Weedon) - construction and testing of type 1 diabetes polygenic risk scores and its application to studies of diabetes misclassification London School of Hygiene and Tropical Medicine (Rohini Mathur) - advanced epidemiological analysis of real world data in British south Asians Wellcome Trust Sanger Institute (Hilary Martin) - construction and testing of polygenic risks scores KEM Hospital Pune (Ranjan Yajnik) - reference/validation south Asian populations and understanding of phenotype-genotype correlation CSIR (Giriraj Chandak) - GWAS and polygenic risk score generation in south Asian populations |
| Impact | 1. Lam BYH*, Williamson A*, Finer S*(*joint first authors), Day F, Tadross JA,Gonçalves Soares A, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova EG, Genes & Health Research Team, Trembath RC, Martin HC, Coll AP, Rowitch DH, Wareham NJ, van Heel DA, Timpson N, Simerly RB, Ong KK, Cone, RD, Langenberg C*, Perry JRB*, Yeo GS*, O'Rahilly S*. (2021). MC3R links nutritional state to childhood growth and the timing of puberty. Nature, in press (2020-12-22599D) 2. Mathur R, Hull SA, Hodgson S, Finer S (2021). Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database. British Journal of General Practice. 2022 Feb. https://doi.org/10.3399/BJGP.2021.0508 3. Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, Beaumont RN, Canouil M, Hatem G, Heiskala A, Joensuu A, Karhunen V, Kwak SH, Lin FTJ, Liu J, Rifas-Shiman S, Tam CH, Tam WH, Thorleifsson G, Andrew T, Auvinen J, Bhowmik B, Bonnefond A, Delahaye F, Demirkan A, Froguel P, Haller-Kikkatalo K, Hardardottir H, Hummel S, Hussain A, Kajantie E, Keikkala E, Khamis A, Lahti J, Lekva T, Mustaniemi S, Sommer C, Tagoma A, Tzala E, Uibo R, Vääräsmäki M, Villa PM, Birkeland KI, Bouchard L, Duijn CM, Finer S, Groop L, Hämäläinen E, Hayes GM, Hitman GA, Jang HC, Järvelin MR, Jenum AK, Laivuori H, Ma RC, Melander O, Oken E, Park KS, Perron P, Prasad RB, Qvigstad E, Sebert S, Stefansson K, Steinthorsdottir V, Tuomi T, Hivert MF, Franks PW, McCarthy MI, Lindgren CM, Freathy RM, Lawlor DA, Morris AP, Mägi R. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet. 2022 Feb 26: Epub ahead of print. PMID: 35220425. 4. Nongmaithem SS, Beaumont RN, Dedaniya A, Wood AR, Ogunkolade BW, Hassan Z, Krishnaveni GV, Kumaran K, Potdar RD, Sahariah SA, Krishna M, Di Gravio C, Mali ID, Sankareswaran A, Hussain A, Bhowmik BW, Khan AKA, Knight BA, Frayling TM, Finer S, Fall CH, Yajnik CS, Freathy RM, Hitman GA, Chandak GR. Babies of South Asian and European Ancestry Show Similar Associations with Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns. Diabetes. 2022 Jan. Epub ahead of print. PMID: 35061033. 5. Hodgson S, Huang Q, Sallah N, Genes & Health Research Team, Griffiths CG, Newman WG, Trembath RC, Lumbers T, Kuchenbaecker K, van Heel DA, Mathur R, Martin H, Finer S (2021) Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting. MedRxiv Preprint (under review with PLoS Medicine) https://www.medrxiv.org/content/10.1101/2021.07.12.21259837v1.full.pdf. |
| Start Year | 2020 |
| Description | Genes & Health metabolic research consortium |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I lead a large interdisciplinary research programme, embedded in Genes & Health, that is using interdisciplinary methods to better understand the role of genetics on metabolic health in British south Asians. This work spans rare variant gene discovery (collaborating with Prof Sir Steve O'Rahilly's team in Cambridge) and the generation of ancestry-specific polygenic risk scores for for clinical application. |
| Collaborator Contribution | University of Cambridge (Prof Sir Steve O'Rahilly) - rare gene variant discovery, functional characterisation and validation in population based cohorts University of Exeter (Richard Oram, Mike Weedon) - construction and testing of type 1 diabetes polygenic risk scores and its application to studies of diabetes misclassification London School of Hygiene and Tropical Medicine (Rohini Mathur) - advanced epidemiological analysis of real world data in British south Asians Wellcome Trust Sanger Institute (Hilary Martin) - construction and testing of polygenic risks scores KEM Hospital Pune (Ranjan Yajnik) - reference/validation south Asian populations and understanding of phenotype-genotype correlation CSIR (Giriraj Chandak) - GWAS and polygenic risk score generation in south Asian populations |
| Impact | 1. Lam BYH*, Williamson A*, Finer S*(*joint first authors), Day F, Tadross JA,Gonçalves Soares A, Wade K, Sweeney P, Bedenbaugh MN, Porter DT, Melvin A, Ellacott KLJ, Lippert RN, Buller S, Rosmaninho-Salgado J, Dowsett GKC, Ridley KE, Xu Z, Cimino I, Rimmington D, Rainbow K, Duckett K, Holmqvist S, Khan A, Dai X, Bochukova EG, Genes & Health Research Team, Trembath RC, Martin HC, Coll AP, Rowitch DH, Wareham NJ, van Heel DA, Timpson N, Simerly RB, Ong KK, Cone, RD, Langenberg C*, Perry JRB*, Yeo GS*, O'Rahilly S*. (2021). MC3R links nutritional state to childhood growth and the timing of puberty. Nature, in press (2020-12-22599D) 2. Mathur R, Hull SA, Hodgson S, Finer S (2021). Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database. British Journal of General Practice. 2022 Feb. https://doi.org/10.3399/BJGP.2021.0508 3. Pervjakova N, Moen GH, Borges MC, Ferreira T, Cook JP, Allard C, Beaumont RN, Canouil M, Hatem G, Heiskala A, Joensuu A, Karhunen V, Kwak SH, Lin FTJ, Liu J, Rifas-Shiman S, Tam CH, Tam WH, Thorleifsson G, Andrew T, Auvinen J, Bhowmik B, Bonnefond A, Delahaye F, Demirkan A, Froguel P, Haller-Kikkatalo K, Hardardottir H, Hummel S, Hussain A, Kajantie E, Keikkala E, Khamis A, Lahti J, Lekva T, Mustaniemi S, Sommer C, Tagoma A, Tzala E, Uibo R, Vääräsmäki M, Villa PM, Birkeland KI, Bouchard L, Duijn CM, Finer S, Groop L, Hämäläinen E, Hayes GM, Hitman GA, Jang HC, Järvelin MR, Jenum AK, Laivuori H, Ma RC, Melander O, Oken E, Park KS, Perron P, Prasad RB, Qvigstad E, Sebert S, Stefansson K, Steinthorsdottir V, Tuomi T, Hivert MF, Franks PW, McCarthy MI, Lindgren CM, Freathy RM, Lawlor DA, Morris AP, Mägi R. Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet. 2022 Feb 26: Epub ahead of print. PMID: 35220425. 4. Nongmaithem SS, Beaumont RN, Dedaniya A, Wood AR, Ogunkolade BW, Hassan Z, Krishnaveni GV, Kumaran K, Potdar RD, Sahariah SA, Krishna M, Di Gravio C, Mali ID, Sankareswaran A, Hussain A, Bhowmik BW, Khan AKA, Knight BA, Frayling TM, Finer S, Fall CH, Yajnik CS, Freathy RM, Hitman GA, Chandak GR. Babies of South Asian and European Ancestry Show Similar Associations with Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns. Diabetes. 2022 Jan. Epub ahead of print. PMID: 35061033. 5. Hodgson S, Huang Q, Sallah N, Genes & Health Research Team, Griffiths CG, Newman WG, Trembath RC, Lumbers T, Kuchenbaecker K, van Heel DA, Mathur R, Martin H, Finer S (2021) Harnessing the power of polygenic risk scores to predict type 2 diabetes and its subtypes in a high-risk population of British Pakistanis and Bangladeshis in a routine healthcare setting. MedRxiv Preprint (under review with PLoS Medicine) https://www.medrxiv.org/content/10.1101/2021.07.12.21259837v1.full.pdf. |
| Start Year | 2020 |
| Title | Quodit |
| Description | Existing software adapted for use for brief cognitive assessments in a south Asian population, with community involvement and piloting, including adaptation for delivery across language/literacy barriers. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2024 |
| Impact | Optimised tool to be delivered at scale in Genes & Health |
| URL | https://quodit.io |
| Description | Genes & Health Community Advisory Board |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | The Genes & Health Community advisory board meets regularly to guide, steer, shape and prioritise research activities in the Genes & Health study. |
| Year(s) Of Engagement Activity | 2016,2017,2018,2019,2020,2021,2022,2023,2024,2025 |
| Description | Genes & Health website and video explainers |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | New website for Genes & Health with careful attention to effective communication and engagement with a diverse audience of research volunteers, NHS networks, academic community, funders and more. Careful attention paid to accessibility to non-English speakers and people with low literacy, including generation of video explainers with audio in multiple languages. |
| Year(s) Of Engagement Activity | 2024,2025 |
| URL | https://www.genesandhealth.org |
| Description | London Bangladeshi Health Partnership |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk delivered at the annual meeting of this group, and ongoing engagement work with them. |
| Year(s) Of Engagement Activity | 2024,2025 |
| Description | Mental Health Public Advisory Board |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | This is a public advisory board that meets regularly to steer and shape the work on mental and cognitive health in our MRC LPS award. |
| Year(s) Of Engagement Activity | 2024,2025 |
