Accessible resource for integrated epigenomics studies (ARIES)
Lead Research Organisation:
Newcastle University
Department Name: Institute of Human Genetics
Abstract
Epigenetic studies are becoming a central focus of biological research internationally. Epigenetic profiles can serve as exposure markers and as prognostic or predictive biomarkers, with leukocyte methylation currently being the most commonly measured form of epigenetic modification, in the most readily obtainable tissue and one that has undergone epigenetic analysis in many investigations. In regard to this mode of analysis the Avon Longitudinal Study of Parents and their Children (ALSPAC) provides a unique potential resource, in having two-generational data and cord blood and later peripheral blood samples available, allowing for intrauterine influences, intergenerational transmission, change in methylation from birth through to pre-pubertal and post-pubertal age, and investigation of how methylation patterns predict and change with development. Such methylation data would be linked to the extensive exposure, genotype and phenotype data available in ALSPAC. The human data will be coupled with rodent data documenting the relationship between leukocyte and other tissue methylation and gene expression and rodent model tissue banks related to over-nutrition, obesity and ageing. Additional rodent tissues will be banked for future analysis upon request. Data generated will be uploaded for browsing on a custom web-based interface developed specifically for this initiative which will permit the integration of data from multiple sources from both human and rodent sources. The user will have access to data exploration utilities, a graphical genome browser and interactive graphical views of data relationships. The integration of data on epigenetic profiles in this intensively characterised human cohort with rodent epigenetic and transcriptomic data to generate an accessible resource to enhance research in the field of epigenetics for the benefit of the wider scientific community represents a considerable bioinformatic undertaking. We will draw on the expertise of leading scientists in the field of epigenetics and population-based human cohort studies to generate relevant data and combine this with up to date and highly skilled bioinformatics input (developed with substantive previous investment from the BBSRC) to meet our stated objectives. In combination, the proposed generation of biological data together with state of the art bioinformatic tools for data integration and access, would provide an unequivocally world-leading resource for epigenetic studies.
Technical Summary
Serial samples taken at multiple time points across the lifecourse from 1,000 mother-child pairs from ALSPAC will be used to generate genome-wide DNA methylation. The Illumina 450K human methylation array will be used to analyse samples from birth, age 7 and age 15-17 in 1,000 children and samples taken during pregnancy and 17 years later from their mothers. These data will be complemented by methylome sequencing of both the 5-methylcytosine and 5-hyroxymethylcytosine fractions of the genome which will be isolated by immuno-precipitation and sequenced using a next-generation platform. Tandem genome wide methylation and gene expression analysis will be undertaken in mouse tissues (leukocytes, adipose, muscle, liver) using a custom NimbleGen methylation array and Affymetrix gene ST arrays respectively. Further mouse tissues will be harvested and banked for future investigation upon request. The complex primary data generated will be processed and fully integrated using the Ondex system that has been developed under the SABR initiative. In addition to the facility to view these data in an open access browser, users will have the opportunity to access extensive exposure and phenotype information from the ALSPAC cohort using the existing infrastructure. The project will run for 2 years and be managed by a team of academics who have a proven track record in large scale collaborative research and the provision of data and information to the wider scientific community. An international Scientific Advisory Board of leading scientists in epigenetics and bioinformatics will contribute to the oversight of ARIES.
Planned Impact
The ARIES project draws together complementary skills in laboratory, population and bioinformatic aspects of epigenetics to create a unique resource that will be of considerable value to a broad bioscience community spanning both academia and industry, both in the UK and internationally. The population of researchers engaged in the field of epigenetics is growing exponentially and the need for large scale genome-wide locus specific epigenomic data in combination with phenotypic and exposure data has been identified as a research priority by several recent high impact publications. Such information would provide understanding of how the epigenome differs between individuals, how it changes through the life course during the natural ageing process, identify factors that mediate these changes and provide insight into their physiological consequences. The ARIES project will address this knowledge and resource deficit by capitalising on recent advances in genome wide epigenetic methodologies and the availability of samples from a unique parent and child cohort (ALSPAC) which has been extensively phenotypically and genetically characterised over the past 20 years. The inclusion of data from mice to address tissue-specificity of the epigenotype, another major focus of current debate in the field, provides an extra and important dimension. The project will utilise advanced bioinformatic tools to establish a facility to amass, integrate and disseminate multi-dimensional biological information. The incorporation of computational tools and web-based technology is increasingly a feature of scientific research and this project will exemplify the societal impact that such advances can have. As reflected by the letters of support from both academia and industry in the UK, Europe and further afield, the ARIES resource will be utilised widely and accelerate scientific advances in this rapidly emerging field. The proposed timescale of 2 years places ARIES in a highly competitive position, with tangible output well in advance of much larger, more technically demanding global initiatives currently being discussed. Epigenetics has captured the headlines in both the popular and scientific press in recent years partly due to the promise it holds in providing a route through which gene expression can be modulated by pharmacological, dietary, lifestyle or perhaps behavioural interventions. This is particularly important in modern society where in countries such as the UK, the population is ageing and governments are faced with ensuring that the 'health span' of the population increases in parallel with the 'lifespan'. Furthermore, epigenetic mechanisms are clearly important in optimal development, and possible cognitive (and other) deficits of considerable importance in economic and human capital terms may arise through such processes. Any interventions that optimise development and ageing could therefore have a major societal impact. Research in this field is actively being pursued in many domains from basic science laboratories to the pharmaceutical industry. Industrial colleagues have therefore justifiably highlighted the potential that ARIES represents in enhancing the efforts in preventive medicine, the discovery of novel therapeutic targets and the possible application of epigenetic factors as biomarkers of efficacy of interventions and treatments. Modification of the epigenotype is a considerably more tractable target for intervention and prevention strategies than modification of the genotype and therefore has the potential to make a greater impact on public health policies and the wellbeing of the population. Advances in any of these areas would bring considerable economic gain and maintain the UK at the forefront of advances in this area.
Organisations
- Newcastle University (Collaboration, Lead Research Organisation)
- Leiden University Medical Center (Collaboration)
- EMBL European Bioinformatics Institute (EMBL - EBI) (Collaboration)
- Cardiff University (Collaboration)
- University of Bath (Collaboration)
- University College Dublin (Collaboration)
- Medical Research Council (MRC) (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
- UNIVERSITY OF EXETER (Collaboration)
Publications
Alfano R
(2019)
Socioeconomic position during pregnancy and DNA methylation signatures at three stages across early life: epigenome-wide association studies in the ALSPAC birth cohort
in International Journal of Epidemiology
Alfano R
(2023)
Cord blood epigenome-wide meta-analysis in six European-based child cohorts identifies signatures linked to rapid weight growth
in BMC Medicine
Title | MOESM1 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 1. Flow-chart of the studies and analyses. The figure provides an overview of the analyzed studies and the conducted analyses with corresponding numbers. |
Type Of Art | Film/Video/Animation |
Year Produced | 2015 |
URL | https://springernature.figshare.com/articles/figure/MOESM1_of_Characterization_of_whole-genome_autos... |
Title | MOESM1 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 1. Flow-chart of the studies and analyses. The figure provides an overview of the analyzed studies and the conducted analyses with corresponding numbers. |
Type Of Art | Film/Video/Animation |
Year Produced | 2015 |
URL | https://springernature.figshare.com/articles/figure/MOESM1_of_Characterization_of_whole-genome_autos... |
Title | MOESM6 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 6. Enrichment of SMAs for probes with high Cross-Hybridization value (CHV). CHV is the number of matching bases to XY chromosomes. CHV values greater than 46 tend to be enriched for SMAs (green line). To be conservative, we removed all SMAs, represented as correlation coefficients on the y-axis, with CHVÂ >Â 40 (red line). |
Type Of Art | Film/Video/Animation |
Year Produced | 2015 |
URL | https://springernature.figshare.com/articles/figure/MOESM6_of_Characterization_of_whole-genome_autos... |
Title | MOESM6 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 6. Enrichment of SMAs for probes with high Cross-Hybridization value (CHV). CHV is the number of matching bases to XY chromosomes. CHV values greater than 46 tend to be enriched for SMAs (green line). To be conservative, we removed all SMAs, represented as correlation coefficients on the y-axis, with CHVÂ >Â 40 (red line). |
Type Of Art | Film/Video/Animation |
Year Produced | 2015 |
URL | https://springernature.figshare.com/articles/figure/MOESM6_of_Characterization_of_whole-genome_autos... |
Description | This award developed an internationally leading resource of epigenetic data that has been used widely and continues to be a valuable resource. |
Exploitation Route | Through continued use of epigenetic data linked to a world leading longitudinal cohort study. Through the development and application of statistical methods and bioinformatic tools to analyse these epigenetic data Through leadership and participation in large scale international consortia to utilise such epigenetic data. Data are increasing used in applied research to address specific questions about the role of epigenetic processes in development and disease. More recently ARIES is being used by social scientists (in cross-council funded projects) to understand how social factors become embodied in phenotype. |
Sectors | Digital/Communication/Information Technologies (including Software) Healthcare Pharmaceuticals and Medical Biotechnology |
URL | http://www.ariesepigenomics.org.uk/ariesexplorer |
Description | The output from the ARIES project has been widely used. It forms a major component of my MRC Epigenetic Epidemiology Programme. Dozens of collaborators nationally and internationally use the data for their research. More than 10% of data requests from the ALSPAC study are for epigenetic data generated by ARIES. |
First Year Of Impact | 2014 |
Sector | Digital/Communication/Information Technologies (including Software),Healthcare,Pharmaceuticals and Medical Biotechnology |
Impact Types | Societal Economic |
Description | A statistical framework for epigenetic change |
Amount | £298,482 (GBP) |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2015 |
End | 09/2018 |
Description | ARIES Brazil - BBSRC Parnering Award |
Amount | £50,000 (GBP) |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2013 |
End | 12/2015 |
Description | Creating a West African BioResource for Nutritional Genetics and Epigenetics (C Relton) |
Amount | £186,171 (GBP) |
Funding ID | MC_PC_MR/R020183/1 |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2018 |
End | 12/2018 |
Description | De Pass Vice Chancellor's Fellowship - Rebecca Richmond |
Amount | £260,000 (GBP) |
Organisation | University of Bristol |
Sector | Academic/University |
Country | United Kingdom |
Start | 09/2018 |
End | 10/2022 |
Description | Development of new statistical frameworks for causal analyses utilizing of multiple omics datasets - Sponsor |
Amount | £300,000 (GBP) |
Organisation | Oak Foundation |
Sector | Charity/Non Profit |
Country | Global |
Start | 11/2012 |
End | 10/2016 |
Description | Does prematurity impair child health via epigenetics? Co-I |
Amount | £132,000 (GBP) |
Organisation | Women's and Children's Hospital Foundation |
Sector | Hospitals |
Country | Australia |
Start | 01/2013 |
End | 12/2015 |
Description | ERA-HDHL - Early life programming of childhood health: a nutritional and epigenetic investigation of adiposity and bone, cardiometabolic, neurodevelopmental and respiratory health. |
Amount | £124,600 (GBP) |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2017 |
End | 12/2019 |
Description | ESRC - Co-Investigator (PI Davey Smith G) |
Amount | £250,000 (GBP) |
Organisation | Economic and Social Research Council |
Sector | Public |
Country | United Kingdom |
Start | 08/2013 |
End | 03/2015 |
Description | Epigenetic biomarkers in neurodegenerative disease |
Amount | £78,388 (GBP) |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 08/2013 |
End | 08/2015 |
Description | Genomic and environmental risk for cardiometabolic disease in Africans. Consultant |
Amount | $2,500,000 (USD) |
Organisation | National Institutes of Health (NIH) |
Sector | Public |
Country | United States |
Start | 08/2012 |
End | 08/2017 |
Description | HDR UK RCUK Innovation/Rutherford Fellowships - Two fellowships (C Relton) |
Amount | £614,457 (GBP) |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 02/2018 |
End | 01/2021 |
Description | MRC Centenary Award - Co-Investigator (PI Fraser A) |
Amount | £100,000 (GBP) |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2013 |
End | 08/2014 |
Description | Mechanistic insights from birth cohorts |
Amount | $2,500,000 (USD) |
Funding ID | NIH PAR-13-009 |
Organisation | National Institutes of Health (NIH) |
Sector | Public |
Country | United States |
Start | 09/2014 |
End | 09/2019 |
Description | Medical Research Council |
Amount | £1,100,000 (GBP) |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2013 |
End | 03/2018 |
Description | NIH - Childhood adversity, DNA methylation and risk for depression: A longitudinal study of sensitive periods in development. |
Amount | $1,623,764 (USD) |
Organisation | National Institutes of Health (NIH) |
Sector | Public |
Country | United States |
Start | 09/2017 |
End | 10/2019 |
Description | Pfizer |
Amount | £175,000 (GBP) |
Organisation | Pfizer Ltd |
Sector | Private |
Country | United Kingdom |
Start | 12/2013 |
End | 06/2015 |
Description | Roy Castle Lung Cancer Foundation |
Amount | £74,990 (GBP) |
Organisation | Roy Castle Lung Cancer Foundation |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 09/2013 |
End | 03/2015 |
Description | The role of DNA methylation in type 2 diabetes and insulin sensitivity - Sponsor |
Amount | £300,000 (GBP) |
Organisation | Oak Foundation |
Sector | Charity/Non Profit |
Country | Global |
Start | 08/2012 |
End | 08/2016 |
Title | Meffil - J.Min |
Description | Josine Min and other researchers have developed a new tool for performing quality control and preprocessing large sets of DNA methylation profiles used in epidemiological studies. Previous tools were unable to process such large datasets without requiring high-end computational resources. Our tool may also be used to improve statistical power in meta-analyses. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | This package has been used to analyse 36 datasets from the GoDMC consortium. It has been cited by 20 publications. |
URL | https://github.com/perishky/meffil#meffil |
Title | ARIES Explorer |
Description | ARIES Explorer - data available via ALSPAC data access process |
Type Of Material | Data handling & control |
Year Produced | 2013 |
Provided To Others? | Yes |
Impact | The ARIES-Explorer web interface was launched on the resource website (http://www.ariesepigenomics.org.uk) in November 2013. AWStats analysis of webserver log files show that in the first month following data release (Nov 2013) the website received 872 visits from 419 unique visitors (250MB of data transferred). The site is indexed by Google, Bing and Baidu and currently receives around 50 hits per day. |
URL | http://www.ariesepigenomics.org.uk |
Title | Additional file 2 of Maternal iron status in early pregnancy and DNA methylation in offspring: an epigenome-wide meta-analysis |
Description | Additional file 2. Supplemental tables. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Maternal_iron_status_in_ea... |
Title | Additional file 2 of Maternal iron status in early pregnancy and DNA methylation in offspring: an epigenome-wide meta-analysis |
Description | Additional file 2. Supplemental tables. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Maternal_iron_status_in_ea... |
Title | Additional file 3 of Childhood DNA methylation as a marker of early life rapid weight gain and subsequent overweight |
Description | Additional file 3. Top CpG hits by model for DNA methylation at ages 7 and 17. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Childhood_DNA_methylation_... |
Title | Additional file 3 of Childhood DNA methylation as a marker of early life rapid weight gain and subsequent overweight |
Description | Additional file 3. Top CpG hits by model for DNA methylation at ages 7 and 17. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Childhood_DNA_methylation_... |
Title | EWAS Catalog |
Description | A database of epigenome-wide association studies with seacrh tool |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | None as yet |
URL | http://www.ewascatalog.org |
Title | Genetics of DNA methylation Consortium (GoDMC) - Josine Min |
Description | As part of the GoDMC (Genetics of DNA methylation Consortium) we have generated a database which contains all discovered mQTL associations. It also has a dalliance genome browser to explore regional features of the association. |
Type Of Material | Database/Collection of data |
Year Produced | 2017 |
Provided To Others? | No |
Impact | We have developed a github pipeline for the GoDMC consortium. So far, 36 different groups have processed and analysed their data and uploaded the results to our sftp server.We have since made the database publicly available following the upload of the main study manuscript to a pre-print server. The resource has seen widespread use by the research community. http://mqtldb.godmc.org.uk |
Title | GoDMC github repository |
Description | This is a github repository developed for the GoDMC. 30+ GoDMC cohorts will download the pipeline and will follow instructions to run the pipeline. Briefly, the analyses are splitted into 3 broad stages: 1. Formatting data into the correct shape for the pipeline 2. Running the pipeline to perform data checks, transformations, data processing and stage 1 analysis for meQTLs, EWAS and GWAS. This is currently partitioned into 15 modules, and after running each module the summary level results are checked and uploaded to a SFTP server in Bristol. 3. Running stage 2 meQTL analysis, whereby the pooled associations from all cohorts are retested in each cohort. |
Type Of Material | Data handling & control |
Year Produced | 2015 |
Provided To Others? | Yes |
Impact | We have already recruited 30+ cohorts around the world and a sample size of more than 25,000 samples. Using the repository, all samples will be processed in a harmonized way. Through meta-analysis of summary statistics across all contributing cohorts, we have the potential to find many more trans methQTLs and explain more of the genetic variation underlying methylation variation than any study so far. |
URL | https://github.com/MRCIEU/godmc |
Title | Identification of differentially methylated regions |
Description | This software tool improves on previous work by properly controlling false positive rates, providing support for meta-analysis and increasing statistical power |
Type Of Material | Data analysis technique |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | None as yet |
Title | MOESM1 of Changes in DNA methylation from pre- to post-adolescence are associated with pubertal exposures |
Description | Additional file 1. List of 1,179 CpGs, DNA-M changes across adolescence were gender-specific (FDR=0.05). |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM1_of_Changes_in_DNA_methylation_from_pre-_... |
Title | MOESM1 of Changes in DNA methylation from pre- to post-adolescence are associated with pubertal exposures |
Description | Additional file 1. List of 1,179 CpGs, DNA-M changes across adolescence were gender-specific (FDR=0.05). |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM1_of_Changes_in_DNA_methylation_from_pre-_... |
Title | MOESM12 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 12: Table S4. Frequency of gain-aDMPs near genes. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM12_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM12 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 12: Table S4. Frequency of gain-aDMPs near genes. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM12_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM13 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 13: Table S5. Enriched GO terms for gain-aDMPs per tissue. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM13_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM13 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 13: Table S5. Enriched GO terms for gain-aDMPs per tissue. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM13_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM14 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 14: Table S6. Number of tissues a gene near loss-aDMPs was found. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM14_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM14 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 14: Table S6. Number of tissues a gene near loss-aDMPs was found. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM14_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM15 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 15: Table S7. Frequency of loss-aDMPs near genes. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM15_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM15 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 15: Table S7. Frequency of loss-aDMPs near genes. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM15_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM16 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 16: Table S8. Enriched GO terms for loss-aDMPs per tissue. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM16_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM16 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 16: Table S8. Enriched GO terms for loss-aDMPs per tissue. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM16_of_Age-related_DNA_methylation_changes_are_tiss... |
Title | MOESM2 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 2: Table S2. Identified aDMPs per tissue. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM2_of_Age-related_DNA_methylation_changes_are_tissu... |
Title | MOESM2 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 2: Table S2. Identified aDMPs per tissue. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM2_of_Age-related_DNA_methylation_changes_are_tissu... |
Title | MOESM2 of Changes in DNA methylation from pre- to post-adolescence are associated with pubertal exposures |
Description | Additional file 2. List of 56 significant canonical pathways (p< 0.05). |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM2_of_Changes_in_DNA_methylation_from_pre-_... |
Title | MOESM2 of Changes in DNA methylation from pre- to post-adolescence are associated with pubertal exposures |
Description | Additional file 2. List of 56 significant canonical pathways (p< 0.05). |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM2_of_Changes_in_DNA_methylation_from_pre-_... |
Title | MOESM2 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 2. Results from discovery (KORA F4) and replication analyses (KORA F3, ALSPAC, EPICOR). The table includes respective Pearsonâ s rho and p-values for 391,885 CpGs in KORA, 11,010 CpGs in ALSPAC, and 10,222 CpGs in EPICOR as well as theta values and p-values for the meta-analysis. The file additionally contains a figure showing the frequency distribution of the effect sizes from the meta-analysis. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM2_of_Characterization_of_whole-genome_auto... |
Title | MOESM2 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 2. Results from discovery (KORA F4) and replication analyses (KORA F3, ALSPAC, EPICOR). The table includes respective Pearsonâ s rho and p-values for 391,885 CpGs in KORA, 11,010 CpGs in ALSPAC, and 10,222 CpGs in EPICOR as well as theta values and p-values for the meta-analysis. The file additionally contains a figure showing the frequency distribution of the effect sizes from the meta-analysis. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM2_of_Characterization_of_whole-genome_auto... |
Title | MOESM2 of Epigenome-wide association study of asthma and wheeze characterizes loci within HK1 |
Description | Additional file 2: This file includes supplemental Tables (S1-S8)-Table S1. Comparison of cell-proportions and lung function variables across the Stage-1 (n = 91) and Stage-2 (n = 279) samples from the IOW F1 Sample. Table S2. Parameter estimates from logistic regression models performed in the Stage-2 sample (ns2 = 279), regressing current asthma status on DNA methylation M-values for all CpGs selected from the Stage-1 analysis. Table S3. Parameter estimates, standard errors, and p-values to compare the IOW F1 results to the ALSPAC replication results for CpGs that yielded an association within a 5% FDR in the Stage-2 analysis. Table S4. Comparing adjustment covariates between the IOW F1 sample and the ALSPAC sample; the within cohort comparisons are testing for differences in these variables between those with and without asthma. Table S5. Results from linear asthma EWAS in IOW F1 (n = 370), in which methylation beta values were regressed on asthma status, unadjusted for possible confounders. Table S6. Results from linear asthma EWAS in IOW F1 (n = 370), in which methylation beta values were regressed on asthmat status, adjusted for sex, CD4T cells, CD8T cells, Monocytes, Natural Killers, Eosinophils, and other Granulocytes. Table S7. CpGs that yielded unadjusted association (p < 0.001) with current asthma in IOW F1 (unadjusted models) that were also identified as having unadjusted associations with current asthma and wheeze at age 7.5 and 16.5 years old in the previously published ALSPAC EWAS. Table S8. Associations between asthma and DNA methylation within the IOW cohort (unadjusted models) at the 14 CpGs that were identified as being asthma associated in a meta analysis of European children. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM2_of_Epigenome-wide_association_study_of_a... |
Title | MOESM2 of Epigenome-wide association study of asthma and wheeze characterizes loci within HK1 |
Description | Additional file 2: This file includes supplemental Tables (S1-S8)-Table S1. Comparison of cell-proportions and lung function variables across the Stage-1 (n = 91) and Stage-2 (n = 279) samples from the IOW F1 Sample. Table S2. Parameter estimates from logistic regression models performed in the Stage-2 sample (ns2 = 279), regressing current asthma status on DNA methylation M-values for all CpGs selected from the Stage-1 analysis. Table S3. Parameter estimates, standard errors, and p-values to compare the IOW F1 results to the ALSPAC replication results for CpGs that yielded an association within a 5% FDR in the Stage-2 analysis. Table S4. Comparing adjustment covariates between the IOW F1 sample and the ALSPAC sample; the within cohort comparisons are testing for differences in these variables between those with and without asthma. Table S5. Results from linear asthma EWAS in IOW F1 (n = 370), in which methylation beta values were regressed on asthma status, unadjusted for possible confounders. Table S6. Results from linear asthma EWAS in IOW F1 (n = 370), in which methylation beta values were regressed on asthmat status, adjusted for sex, CD4T cells, CD8T cells, Monocytes, Natural Killers, Eosinophils, and other Granulocytes. Table S7. CpGs that yielded unadjusted association (p < 0.001) with current asthma in IOW F1 (unadjusted models) that were also identified as having unadjusted associations with current asthma and wheeze at age 7.5 and 16.5 years old in the previously published ALSPAC EWAS. Table S8. Associations between asthma and DNA methylation within the IOW cohort (unadjusted models) at the 14 CpGs that were identified as being asthma associated in a meta analysis of European children. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM2_of_Epigenome-wide_association_study_of_a... |
Title | MOESM3 of Changes in DNA methylation from pre- to post-adolescence are associated with pubertal exposures |
Description | Additional file 3.. Description of pubertal exposures. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM3_of_Changes_in_DNA_methylation_from_pre-_... |
Title | MOESM3 of Changes in DNA methylation from pre- to post-adolescence are associated with pubertal exposures |
Description | Additional file 3.. Description of pubertal exposures. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM3_of_Changes_in_DNA_methylation_from_pre-_... |
Title | MOESM3 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 3. Sex-associated CpGs in KORA F4 and the buccal cells study. The table includes CpGs significantly associated with sex in the KORA F4 and in the buccal cells study with chromosome number and position, CGI region, and annotated gene for each CpG, beta estimates and p-values per study. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM3_of_Characterization_of_whole-genome_auto... |
Title | MOESM3 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 3. Sex-associated CpGs in KORA F4 and the buccal cells study. The table includes CpGs significantly associated with sex in the KORA F4 and in the buccal cells study with chromosome number and position, CGI region, and annotated gene for each CpG, beta estimates and p-values per study. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM3_of_Characterization_of_whole-genome_auto... |
Title | MOESM4 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 4: Table S3. Number of tissues a gene near gain-aDMPs was found. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM4_of_Age-related_DNA_methylation_changes_are_tissu... |
Title | MOESM4 of Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
Description | Additional file 4: Table S3. Number of tissues a gene near gain-aDMPs was found. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/MOESM4_of_Age-related_DNA_methylation_changes_are_tissu... |
Title | MOESM4 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 4. Sex-related genes considered for enrichment analysis. Given are the official gene symbol and the corresponding chromosomes. X and Y are marked in red since they were excluded from the enrichment analysis. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM4_of_Characterization_of_whole-genome_auto... |
Title | MOESM4 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 4. Sex-related genes considered for enrichment analysis. Given are the official gene symbol and the corresponding chromosomes. X and Y are marked in red since they were excluded from the enrichment analysis. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM4_of_Characterization_of_whole-genome_auto... |
Title | MOESM5 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 5. Imprinted genes with significant SMAs enrichment. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM5_of_Characterization_of_whole-genome_auto... |
Title | MOESM5 of Characterization of whole-genome autosomal differences of DNA methylation between men and women |
Description | Additional file 5. Imprinted genes with significant SMAs enrichment. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |
URL | https://springernature.figshare.com/articles/dataset/MOESM5_of_Characterization_of_whole-genome_auto... |
Title | Meffil |
Description | It is an R package "Efficient algorithms for analyzing DNA methylation data" (meffil) (https://github.com/perishky/meffil) which is designed to conduct quality control and normalization of large-scale methylation datasets. Meffil also conducts epigenome wide association studies (EWAS) using four different methods. |
Type Of Material | Computer model/algorithm |
Year Produced | 2015 |
Provided To Others? | Yes |
Impact | To meet the challenges of processing an ever-increasing volume of methylation data, analysis pipelines must be easy to use, efficient, flexible, and able to seamlessly detect and handle technical artifacts. We have developed a new R package called meffil - efficient algorithms for analyzing DNA methylation - which meet these requirements. Meffil provides quality control reports, normalizes large-scale datasets and include an analysis pipeline for epigenome-wide association studies. Different datasets in physically different locations can be normalized together without sharing original raw data using a minimum of information. The package has been tested on a dataset of ~5000 samples and will be used to process all ~30 datasets of the Genetics of DNA Methylation Consortium . |
URL | https://github.com/perishky/meffil |
Title | Paternal BMI meta-EWAS results |
Description | This project explores associations between paternal body mass index around the time of conception and offspring DNA methylation in cord blood at birth and peripheral whole blood at childhood. Independent cohorts carried out epigenome-wise association studies (EWAS) according to a pre-specified analysis plan. The summary statistics from these EWAS were then meta-analysed. This dataset provides the full summary statistics for the project. |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
Impact | A paper describing this study has been published and the data has been uploaded to the EWAS catalog for further use and dissemination by other groups. |
URL | https://dataverse.harvard.edu/dataverse/pace_paternal_bmi_methylation |
Title | Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies |
Description | Biomedical research has grown increasingly cooperative through the sharing of consortia-level epigenetic data. Since consortia preprocess data prior to distribution, new processing pipelines can lead to different versions of the same dataset. Similarly, analytic frameworks evolve to incorporate cutting-edge methods and best practices. However, it remains unknown how different data and analytic versions alter the results of epigenome-wide analyses, which could influence the replicability of epigenetic associations. Thus, we assessed the impact of these changes using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. We analysed DNA methylation from two data versions, processed using separate preprocessing and analytic pipelines, examining associations between seven childhood adversities or prenatal smoking exposure and DNA methylation at age 7. We performed two sets of analyses: (1) epigenome-wide association studies (EWAS); (2) Structured Life Course Modelling Approach (SLCMA), a two-stage method that models time-dependent effects. SLCMA results were also compared across two analytic versions. Data version changes impacted both EWAS and SLCMA analyses, yielding different associations at conventional p-value thresholds. However, the magnitude and direction of associations was generally consistent between data versions, regardless of p-values. Differences were especially apparent in analyses of childhood adversity, while smoking associations were more consistent using significance thresholds. SLCMA analytic versions similarly altered top associations, but time-dependent effects remained concordant. Alterations to data and analytic versions influenced the results of epigenome-wide analyses. Our findings highlight that magnitude and direction are better measures for replication and stability than p-value thresholds. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://tandf.figshare.com/articles/dataset/Updates_to_data_versions_and_analytic_methods_influence_... |
Title | Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies |
Description | Biomedical research has grown increasingly cooperative through the sharing of consortia-level epigenetic data. Since consortia preprocess data prior to distribution, new processing pipelines can lead to different versions of the same dataset. Similarly, analytic frameworks evolve to incorporate cutting-edge methods and best practices. However, it remains unknown how different data and analytic versions alter the results of epigenome-wide analyses, which could influence the replicability of epigenetic associations. Thus, we assessed the impact of these changes using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. We analysed DNA methylation from two data versions, processed using separate preprocessing and analytic pipelines, examining associations between seven childhood adversities or prenatal smoking exposure and DNA methylation at age 7. We performed two sets of analyses: (1) epigenome-wide association studies (EWAS); (2) Structured Life Course Modelling Approach (SLCMA), a two-stage method that models time-dependent effects. SLCMA results were also compared across two analytic versions. Data version changes impacted both EWAS and SLCMA analyses, yielding different associations at conventional p-value thresholds. However, the magnitude and direction of associations was generally consistent between data versions, regardless of p-values. Differences were especially apparent in analyses of childhood adversity, while smoking associations were more consistent using significance thresholds. SLCMA analytic versions similarly altered top associations, but time-dependent effects remained concordant. Alterations to data and analytic versions influenced the results of epigenome-wide analyses. Our findings highlight that magnitude and direction are better measures for replication and stability than p-value thresholds. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://tandf.figshare.com/articles/dataset/Updates_to_data_versions_and_analytic_methods_influence_... |
Description | ALPHABET |
Organisation | University College Dublin |
Department | School of Public Health, Physiotherapy and Population Science |
Country | Ireland |
Sector | Academic/University |
PI Contribution | I am a co-investigator on a ERA-HDHL (BBSRC) collaborative research project on the influence of early life nutrition on offspring health led by UCD. Our contribution includes collating multi-centre epigenetic data, running epigenome-wide association studies, meta-analyses and causal analysis methods. |
Collaborator Contribution | The partners in this collaboration contribute data from various large birth cohort studies and expertise in nutrition and other clinical disciplines |
Impact | Aubert A, Forhan A, de Lauzon-Guillain B, Chen LW, Polanska K, Hanke W, Mensink-Bout SM, Duijts L, Suderman M, Relton CL, Crozier SR, Harvey NC, Cooper C, McAuliffe FM, Kelleher CC, Philips CM, Heude B, Bernard JY. Deriving the Dietary Approaches to stop Hypertension (DASH) score in women from seven pregnancy cohorts from the European ALPHABET consortium. Nutrients. 2019 Nov 8;11(11). pii: E2706. doi: 10.3390/nu11112706. PMID:31717283. Chen LW, Aubert AM, Shivappa N, Bernard JY, Mensink-Bout SM, Geraghty AA, Mehegan J, Suderman M, Polanska K, Hanke W, Trafalska E, Relton CL, Crozier SR, Harvey NC, Cooper C, Duijts L, Heude B, Hébert JR, McAuliffe FM, Kelleher CC, Phillips CM. Associations of maternal dietary inflammatory potential and quality with offspring birth outcomes: An individual participant data pooled analysis of 7 European cohorts in the ALPHABET consortium. PLoS Med. 2021 Jan 21;18(1):e1003491. doi: 10.1371/journal.pmed.1003491. eCollection 2021 Jan. PMID: 33476335. Chen LW, Aubert AM, Shivappa N, Bernard JY, Mensink-Bout SM, Geraghty AA, Mehegan J, Suderman M, Polanska K, Hanke W, Jankowska A, Relton CL, Crozier SR, Harvey NC, Cooper C, Hanson M, Godfrey KM, Gaillard R, Duijts L, Heude B, Hébert JR, McAuliffe FM, Kelleher CC, Phillips CM. Maternal dietary quality, inflammatory potential and childhood adiposity: an individual participant data pooled analysis of seven European cohorts in the alphabet consortium. BMC Med. 2021 Feb 22;19(1):33. doi: 10.1186/s12916-021-01908-7. PMID: 33612114. |
Start Year | 2017 |
Description | European Bioinformatics Institute |
Organisation | EMBL European Bioinformatics Institute (EMBL - EBI) |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We bring epidemiological and causal analysis expertise to this collaboration as well as generating epigenomic data for use by colleagues at EBI. |
Collaborator Contribution | Bioinformatic expertise for the functional annotation of observed associations. |
Impact | EBI have been involved in ARIES and have more recently been closely involved in formulating large strategic funding applications. The outputs of this work are too early to report. This is a multi-disciplinary collaboration between epidemiologists and bioinformaticians. |
Start Year | 2013 |
Description | GW4 |
Organisation | Cardiff University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The GW4 strategic alliance has established the GW4 Epigenetics Consortium which I instigated and brings complementary expertise from the 4 contributing Universitites together.We hosted a 2 day symposium and workshops and have subsequently secured and undertaken research activities around the use of CRISPR/Cas9 in epigenetics studies |
Collaborator Contribution | 2 day symposium and workshops. Epidemiology expertise. |
Impact | 2 day symposium and workshops. Further grant application to GW4 for research activities. This is a multi-disciplinary collaboration between epidemiologists, clinicians, experimental biologists, bioinformaticians and epigeneticists |
Start Year | 2014 |
Description | GW4 |
Organisation | University of Bath |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The GW4 strategic alliance has established the GW4 Epigenetics Consortium which I instigated and brings complementary expertise from the 4 contributing Universitites together.We hosted a 2 day symposium and workshops and have subsequently secured and undertaken research activities around the use of CRISPR/Cas9 in epigenetics studies |
Collaborator Contribution | 2 day symposium and workshops. Epidemiology expertise. |
Impact | 2 day symposium and workshops. Further grant application to GW4 for research activities. This is a multi-disciplinary collaboration between epidemiologists, clinicians, experimental biologists, bioinformaticians and epigeneticists |
Start Year | 2014 |
Description | GW4 |
Organisation | University of Exeter |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The GW4 strategic alliance has established the GW4 Epigenetics Consortium which I instigated and brings complementary expertise from the 4 contributing Universitites together.We hosted a 2 day symposium and workshops and have subsequently secured and undertaken research activities around the use of CRISPR/Cas9 in epigenetics studies |
Collaborator Contribution | 2 day symposium and workshops. Epidemiology expertise. |
Impact | 2 day symposium and workshops. Further grant application to GW4 for research activities. This is a multi-disciplinary collaboration between epidemiologists, clinicians, experimental biologists, bioinformaticians and epigeneticists |
Start Year | 2014 |
Description | GoDMC: Genetics of DNA Methylation Consortium |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We are currently leading the GoDMC consortium. The GoDMC consortium consists of five core groups (IEU, Kings College London, University of Exeter, Leiden University Medical Centre and Austrian Academy of Sciences) and we recruited 30+ cohorts to contribute to the GoDMC consortium. We have led the analysis effort for this consortium, led the writing of the main manuscript and are co-ordinating the ongoing consortium activities. Matt Suderman and Josine Min have developed an R package "Efficient algorithms for analyzing DNA methylation data" (meffil) (https://github.com/perishky/meffil) which is designed to conduct quality control and normalization of large-scale methylation datasets. Meffil also conducts epigenome wide association studies (EWAS) using four different methods. In addition, Josine Min and Gibran Hemani have written a pipeline on github, which automates all analyses. Participating cohorts will download the pipeline and will follow instructions to run the pipeline. |
Collaborator Contribution | Partners have ade substantive contributions to the analysis effort, to data provision and to interpretation of data generated. |
Impact | Software development: R package meffil and github pipeline for GoDMC analyses Disciplines: Genetic epidemiology, epigenetic epidemiology Main manuscript, published in Nature Genetics. PMID: 34493871 Summary genetic association data have been deposited and are available for open access. Follow up studies planned and underway. |
Start Year | 2013 |
Description | GoDMC: Genetics of DNA Methylation Consortium |
Organisation | Leiden University Medical Center |
Country | Netherlands |
Sector | Academic/University |
PI Contribution | We are currently leading the GoDMC consortium. The GoDMC consortium consists of five core groups (IEU, Kings College London, University of Exeter, Leiden University Medical Centre and Austrian Academy of Sciences) and we recruited 30+ cohorts to contribute to the GoDMC consortium. We have led the analysis effort for this consortium, led the writing of the main manuscript and are co-ordinating the ongoing consortium activities. Matt Suderman and Josine Min have developed an R package "Efficient algorithms for analyzing DNA methylation data" (meffil) (https://github.com/perishky/meffil) which is designed to conduct quality control and normalization of large-scale methylation datasets. Meffil also conducts epigenome wide association studies (EWAS) using four different methods. In addition, Josine Min and Gibran Hemani have written a pipeline on github, which automates all analyses. Participating cohorts will download the pipeline and will follow instructions to run the pipeline. |
Collaborator Contribution | Partners have ade substantive contributions to the analysis effort, to data provision and to interpretation of data generated. |
Impact | Software development: R package meffil and github pipeline for GoDMC analyses Disciplines: Genetic epidemiology, epigenetic epidemiology Main manuscript, published in Nature Genetics. PMID: 34493871 Summary genetic association data have been deposited and are available for open access. Follow up studies planned and underway. |
Start Year | 2013 |
Description | GoDMC: Genetics of DNA Methylation Consortium |
Organisation | University of Exeter |
Department | Medical School |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We are currently leading the GoDMC consortium. The GoDMC consortium consists of five core groups (IEU, Kings College London, University of Exeter, Leiden University Medical Centre and Austrian Academy of Sciences) and we recruited 30+ cohorts to contribute to the GoDMC consortium. We have led the analysis effort for this consortium, led the writing of the main manuscript and are co-ordinating the ongoing consortium activities. Matt Suderman and Josine Min have developed an R package "Efficient algorithms for analyzing DNA methylation data" (meffil) (https://github.com/perishky/meffil) which is designed to conduct quality control and normalization of large-scale methylation datasets. Meffil also conducts epigenome wide association studies (EWAS) using four different methods. In addition, Josine Min and Gibran Hemani have written a pipeline on github, which automates all analyses. Participating cohorts will download the pipeline and will follow instructions to run the pipeline. |
Collaborator Contribution | Partners have ade substantive contributions to the analysis effort, to data provision and to interpretation of data generated. |
Impact | Software development: R package meffil and github pipeline for GoDMC analyses Disciplines: Genetic epidemiology, epigenetic epidemiology Main manuscript, published in Nature Genetics. PMID: 34493871 Summary genetic association data have been deposited and are available for open access. Follow up studies planned and underway. |
Start Year | 2013 |
Description | Institute of Metabolic Science, Cambridge |
Organisation | University of Cambridge |
Department | Institute of Metabolic Science (IMS) |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | This long-standing collaboration focuses on complementary approaches to the developmental origins of adult disease with the group of Prof Sue Ozanne. My team bring epidemiological expertise, causal analysis methods, population epigenetics and leadership of the ARIES project. |
Collaborator Contribution | Dr Sue Ozanne brings expertise in animal model studies. |
Impact | Joint publication; Relton CL, Gaunt T, McArdle W, Ho K, Duggirala A, Shihab H, Woodward G, Lyttleton O, Evans DM, Reik W, Paul YL, Ficz G, Ozanne SE, Wipat A, Flanagan K, Lister A, Heijmans BT, Ring SM, Davey Smith G. Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES). Int J Epidemiol 2015;44(4):1181-90. PMID: 25991711 |
Start Year | 2013 |
Description | Leiden University Medical Centre |
Organisation | Leiden University Medical Center |
Country | Netherlands |
Sector | Academic/University |
PI Contribution | We have collaborated on the ARIES study which included the profiling of DNA methylation in autopsy samples provided by Dr Bas Heijman's group at LUMC in our Bristol labs. We have cleaned and QC'd the data and contributed to data analysis. We also work closely with this group in leading the Genetics of DNA Methylation Consortium (GoDMC). |
Collaborator Contribution | Our collaborators provided autopsy biological samples and associated data. They have led the data analysis and preparation of findings for publication. |
Impact | A Data Resource Profile has been published; Relton CL, Gaunt T, McArdle W, Ho K, Duggirala A, Shihab H, Woodward G, Lyttleton O, Evans DM, Reik W, Paul YL, Ficz G, Ozanne SE, Wipat A, Flanagan K, Lister A, Heijmans BT, Ring SM, Davey Smith G. Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES). Int J Epidemiol 2015;44(4):1181-90. PMID: 25991711 A further publication describing methylation profiles in different tissues is in preparation. |
Start Year | 2013 |
Description | MRC The Gambia |
Organisation | Medical Research Council (MRC) |
Department | MRC Unit, The Gambia |
Country | Gambia |
Sector | Public |
PI Contribution | Collaboration in epigenetics research. Co-investigator on recently funded award to establish a W African Bioresource in nutritional genetics and epigenetics. |
Collaborator Contribution | Myself and members of my team have committed to helping our colleagues at the MRC Gambia Unit establish a bioresource to support molecular epidemiology research in the future. This will involve researcher exchanges,workshops and training in Bristol and the provision of ongoing support and capacity building in The Gambia. |
Impact | Capacity building achieved through sharing of good practice. |
Start Year | 2018 |
Description | School of Computing Science, Newcastle |
Organisation | Newcastle University |
Department | School of Computing Science |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | This collaboration formed a central part of the development of infomatics systems for the ARIES (ALSPAC) project. Our role in the collaboration was as project leaders and to provide data and design guidance for the web browser that was ultimately produced for this project. |
Collaborator Contribution | Prof Anil Wipat's team provided expertise in data integration and helped to design and construct the ARIES-Explorer web interface. |
Impact | A description of the resource has been published; Relton CL, Gaunt T, McArdle W, Ho K, Duggirala A, Shihab H, Woodward G, Lyttleton O, Evans DM, Reik W, Paul YL, Ficz G, Ozanne SE, Wipat A, Flanagan K, Lister A, Heijmans BT, Ring SM, Davey Smith G. Data Resource Profile: Accessible Resource for Integrated Epigenomic Studies (ARIES). Int J Epidemiol 2015;44(4):1181-90. PMID: 25991711 A web-interface to browse summary data (see above URL) |
Start Year | 2013 |
Title | EWAS Catalog |
Description | This webtool/application has curated all published epigenome-wide association studies (EWAS) (using the Illumina BeadChip platform) and incorporated them in to a searchable data base. This allows the user to locate any variable methylation probes they may be interested in in a similar way to the GWAS catalog for genetic variants. It provides a centralised repository and search tool for any investigator interested in EWAS. |
Type Of Technology | Webtool/Application |
Year Produced | 2018 |
Open Source License? | Yes |
Impact | The web application has just been released. It should have considerable impact across the research community as a browsing facility for all documented EWAS that appear in the published literature. |
URL | http://www.ewascatalog.org |
Description | BBSRC Industry Showcase Event, Manchester |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | Yes |
Geographic Reach | National |
Primary Audience | Public/other audiences |
Results and Impact | Dissemination of information followed by questions and discussion Engagement with industry |
Year(s) Of Engagement Activity | 2012 |
Description | BiogenIdec, Cambridge, MA, USA |
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 | Dissemination of information followed by questions and discussion Collaborative work discussed |
Year(s) Of Engagement Activity | 2011 |
Description | Centre for Cardiovascular Sciences, University of Edinburgh |
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 | Seminar: Dissemination of information followed by questions and discussion Collaboration and plans discussed for future action |
Year(s) Of Engagement Activity | 2012 |
Description | Columbia University, New York, USA |
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 | Seminar - dissemination of information followed by questions and discussion Consolidated collaborative links |
Year(s) Of Engagement Activity | 2011 |
Description | Department of Dermatology, Institute of Cellular Medicine, Newcastle University |
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 | Seminar: Dissemination of information followed by questions and discussion Increase in awareness, change of views, opinions and behaviours noted |
Year(s) Of Engagement Activity | 2012 |
Description | Epigenomics and Complex Disease Conference, Cambridge |
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 | Plenary Session - dissemination of information and stimulation of discussion Effective Networking |
Year(s) Of Engagement Activity | 2011 |
Description | European Atherosclerosis Society, Copenhagen, Denmark |
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 | Lecture - Genetics and Epidemiology of Cardiovascular Disease Stimulation of discussion - dissemination of information - questions and answers |
Year(s) Of Engagement Activity | 2011 |
Description | European Society for Paediatric Research, Newcastle |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other academic audiences (collaborators, peers etc.) |
Results and Impact | Plenary Session - dissemination of information, stimulate discussion Dissemination to a largely clinical audience |
Year(s) Of Engagement Activity | 2011 |
Description | Harvard School of Public Health |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Type Of Presentation | Keynote/Invited Speaker |
Geographic Reach | International |
Primary Audience | Other academic audiences (collaborators, peers etc.) |
Results and Impact | Invited Speaker: Seminar: Harvard School of Public Health, Boston, USA, January 2014 Informed debate and discussion |
Year(s) Of Engagement Activity | 2014 |
Description | Health Sciences Center, University of Colorado Denver, USA |
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 | Seminar: Dissemination of information followed by questions and discussion Future plans for collaboration discussed |
Year(s) Of Engagement Activity | 2013 |
Description | Hidden Influences on Health Across the Life Course |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Type Of Presentation | Paper Presentation |
Geographic Reach | National |
Primary Audience | Health professionals |
Results and Impact | Seminar at University of Durham June 2013 - Hidden Influences on Health Across the LIfe Course Informed discussion |
Year(s) Of Engagement Activity | 2013 |
Description | Hot Topics: Developments in Epigenetics, Adelaide, Australia |
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 | Seminar: Dissemination of information followed by questions and discussion Extensive discussion of methodology |
Year(s) Of Engagement Activity | 2013 |
Description | Keystone Symposium Boston USA |
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 | Invited Speaker: Keystone Symposium: Epigenetic Programme and Inheritance, Boston, USA April 2014 Dissemination of information and discussion |
Year(s) Of Engagement Activity | 2014 |
Description | MRC Toxicology Unit, University of Leicester |
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 | Seminar - dissemination of information followed by questions and discussion Constructive inter-MRC Unit links made |
Year(s) Of Engagement Activity | 2012 |
Description | Merck, Rahway, New Jersey, USA |
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 | Dissemination of information followed by questions and discussion Collaboration discussed |
Year(s) Of Engagement Activity | 2011 |
Description | NIHR-BRC Geneomics Workshop, Newcastle University |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | Yes |
Type Of Presentation | Workshop Facilitator |
Geographic Reach | National |
Primary Audience | Health professionals |
Results and Impact | NIHR-BRC Genomics Workshop, Newcastle University, 18th July 2013 Informed debate and discussion. |
Year(s) Of Engagement Activity | 2013 |
Description | Nanjing Medical University, Nanjing - GEoCoDE Programme |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Dissemination of information followed by questions and discussion Staff exchanges and collaboration planned |
Year(s) Of Engagement Activity | 2011 |
Description | Osteoporosis and Bone Conference, Manchester |
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 | Lecture: dissemination of information followed by questions and discussion Collaboration formed |
Year(s) Of Engagement Activity | 2012 |
Description | Population Health: Past, Present and Future |
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 | Dissemination of information and discussioin Invited Speaker: Population Health: Past, Present and Future. University of Michigan, Ann Arbor, USA, April 2014 |
Year(s) Of Engagement Activity | 2014 |
Description | Queensland Institute of Medical Research, Brisbane, Australia - GEoCoDE Programme |
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 | Seminar: Dissemination of information followed by questions and discussion Collaboration initiated |
Year(s) Of Engagement Activity | 2013 |
Description | Robinson Institute, Adelaide, Australia |
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 | Plenary: Dissemination of information followed by questions and discussion Advice exchanged and new projects discussed |
Year(s) Of Engagement Activity | 2013 |
Description | School of Social and Community Medicine, University of Bristol |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Other academic audiences (collaborators, peers etc.) |
Results and Impact | Seminar - dissemination of information followed by questions and discussion Encouraged vibrant discussion of methods and issues |
Year(s) Of Engagement Activity | 2012 |
Description | South Asia Network for Chronic Diseases, New Delhi |
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 | Seminar: dissemination of information followed by questions and discussion Grants submitted subsequently |
Year(s) Of Engagement Activity | 2012 |
Description | UK Environmental Mutagens Society |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Type Of Presentation | Keynote/Invited Speaker |
Geographic Reach | National |
Primary Audience | Other academic audiences (collaborators, peers etc.) |
Results and Impact | Lecture: UK Environmental Mutagens Society, Newcastle University, December 2013 Informed discussion and debate |
Year(s) Of Engagement Activity | 2008,2013 |
Description | University of Adelaide, Australia |
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 | Seminar: Dissemination of information followed by questions and discussion Increased awareness of important issues in epigenetic epidemiology |
Year(s) Of Engagement Activity | 2013 |
Description | University of Cape Town - GEoCoDE Programme |
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 | Dissemination of information followed by questions and discussion Staff exchanges and collaboration planned |
Year(s) Of Engagement Activity | 2011 |
Description | University of Chicago - Seminar |
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 | Dissemination of information followed by questions and discussion : The Role of Genetic and Environmental Factors Across the Lifecourse: Improving the Rigour of Causal Inference Interaction with a multi-disciplinary audience, including econoists and social scientists |
Year(s) Of Engagement Activity | 2011 |
Description | University of Pelotas, Brazil |
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 | Seminar : Dissemination of information followed by questions and discussion Fuelled future grant applications and research activity |
Year(s) Of Engagement Activity | 2011 |
Description | University of Witwatersrand - GEoCoDE Programme |
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 | Dissemination of information followed by questions and discussion Staff exchanges and collaboration planned |
Year(s) Of Engagement Activity | 2011 |
Description | WUN Public Health Conference, Shanghai |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | Yes |
Geographic Reach | International |
Primary Audience | Other academic audiences (collaborators, peers etc.) |
Results and Impact | Informed debate followed by questions and discussion Stimulation of thinking and discussion. No known notable impacts |
Year(s) Of Engagement Activity | 2011 |
Description | Why We Are Who We Are, They Hay-on-Wye Philosophy Festival |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | Yes |
Geographic Reach | National |
Primary Audience | Public/other audiences |
Results and Impact | The Hay-on-Wye Philosophy Festival : Why We Are Who We Are : Dissemination of information and questions Lively discussion and debate on current perceptions in epigenetics |
Year(s) Of Engagement Activity | 2013 |
Description | World Congress in Epidemiology, Anchorage, Alaska |
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 | Dissemination of information and discussion Invited Speaker: World Congress of Epidemiology, Anchorage, Alaska, USA, August 2014 |
Year(s) Of Engagement Activity | 2014 |