The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity
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Peer-reviewed
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Change log
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Abstract
The NHGRI-EBI GWAS Catalog serves as a vital resource for the genetic research community, providing access to the most comprehensive database of human GWAS results. Currently, it contains close to 7 000 publications for >15 000 traits, from which more than 625 000 lead associations have been curated. Additionally, 85 000 full genome-wide summary statistics datasets—containing association data for all variants in the analysis—are available for downstream analyses such as meta-analysis, fine-mapping, Mendelian randomisation or development of polygenic risk scores. As a centralised repository for GWAS results, the GWAS Catalog sets and implements standards for data submission and harmonisation, and encourages the use of consistent descriptors for traits, samples and methodologies. We share processes and vocabulary with the PGS Catalog, improving interoperability for a growing user group. Here, we describe the latest changes in data content, improvements in our user interface, and the implementation of the GWAS-SSF standard format for summary statistics. We address the challenges of handling the rapid increase in large-scale molecular quantitative trait GWAS and the need for sensitivity in the use of population and cohort descriptors while maintaining data interoperability and reusability.
Description
Acknowledgements: The authors thank the GWAS Catalog's users, study authors, submitters of summary statistics and our Scientific Advisory Board. We also thank the EMBL-EBI Technical Services Cluster for maintenance of the computational infrastructure, the EMBL-EBI Training team for supporting provision of our training materials, and the many GWAS experts who have contributed to discussions about Catalog functionality, data representation and user experience testing. We acknowledge the insight of Teri Manolio, Lucia Hindorff and Leah Mechanic, which has informed the Catalog's development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, the NIHR or the Department of Health and Social Care.
Funder: National Institutes of Health; doi: https://doi.org/10.13039/100000002
Funder: European Molecular Biology Laboratory; doi: https://doi.org/10.13039/100013060
Funder: Munz Chair of Cardiovascular Prediction and Prevention (to M.I.);
Funder: Health Data Research UK; doi: https://doi.org/10.13039/501100023699
Funder: UK Medical Research Council; doi: https://doi.org/10.13039/501100000265
Funder: Engineering and Physical Sciences Research Council; doi: https://doi.org/10.13039/501100000266
Funder: Economic and Social Research Council; doi: https://doi.org/10.13039/501100000269
Funder: Department of Health and Social Care; doi: https://doi.org/10.13039/501100000276
Funder: Chief Scientist Office of the Scottish Government Health and Social Care Directorates
Funder: Health and Social Care Research and Development Division; doi: https://doi.org/10.13039/501100010756
Funder: Public Health Agency; doi: https://doi.org/10.13039/501100001626
Funder: British Heart Foundation; doi: https://doi.org/10.13039/501100000274
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1362-4962
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Open Targets (OTAR2045, EBI-OT02, EBI-OT01)
Office of the Director (R24 OD011883)
National Institute of Diabetes and Digestive and Kidney Diseases (UM1DK105554)
UK Economic and Social Research 878 Council (ES/T013192/1)
British Heart Foundation core funding (RG/18/13/33946, RG/F/23/110103)
NIHR Cambridge Biomedical Research Centre (NIHR203312)
BHF Chair Award (CH/12/2/29428)

