We thank all the authors of publications in the PGS Catalog for making their data available and indexable in our database, and all those who responded to our inquiries and requests for data. We also thank the users of the PGS Catalog Calculator, especially those that have contributed to bug reports, feature requests, or discussions. This work was supported by core funding from the British Heart Foundation (BHF) (grants RG/18/13/33946 and RG/F/23/110103); the National Human Genome Research Institute of the National Institutes of Health (grant 1U24HG012542-01 to H.P. and M.I.); the UK National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre (grants BRC-1215–20014 and NIHR203312); the Cambridge BHF Centre of Research Excellence (grants RE/18/1/34212 and RE/18/1/34212]); a BHF Chair Award (CH/12/2/29428); the European Union’s Horizon 2020 research and innovation program (under grant agreement 101016775 INTERVENE to H.P., M.I. and B.W.); and by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation and Wellcome. The views expressed are those of the authors and not necessarily those of the National Health Service (NHS), the NIHR or the Department of Health and Social Care. This work was carried out using computing resources provided by the Cambridge Service for Data Driven Discovery (CSD3) operated by the University of Cambridge Research Computing Service (www.csd3.cam.ac.uk), provided by Dell EMC and Intel using Tier-2 funding from the Engineering and Physical Sciences Research Council (capital grant EP/T022159/1), and DiRAC funding from the Science and Technology Facilities Council (www.dirac.ac.uk). The authors wish to acknowledge the CSC–IT Center for Science, Finland, for providing computing resources. M.I. is supported by the Munz Chair of Cardiovascular Prediction and Prevention and the UK Economic and Social Research 878 Council (grant ES/T013192/1). H.P. is supported by European Molecular Biology Laboratory Core Funds.
