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Meta-Analysis
. 2025 Mar;57(3):539-547.
doi: 10.1038/s41588-024-02072-3. Epub 2025 Mar 6.

Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases

Carolina Roselli #  1   2 Ida Surakka #  3 Morten S Olesen #  4 Gardar Sveinbjornsson #  5 Nicholas A Marston #  6   7 Seung Hoan Choi  1 Hilma Holm  5 Mark Chaffin  1 Daniel Gudbjartsson  5   8 Matthew C Hill  1   9 Hildur Aegisdottir  5 Christine M Albert  10   11 Alvaro Alonso  12 Christopher D Anderson  13   14 Dan E Arking  15 David O Arnar  5   16   17 John Barnard  18 Emelia J Benjamin  19   20   21 Eugene Braunwald  6   7 Ben Brumpton  22   23 Archie Campbell  24 Nathalie Chami  25   26 Daniel I Chasman  11   27 Kelly Cho  28   29 Eue-Keun Choi  30 Ingrid E Christophersen  31   32 Mina K Chung  33 David Conen  34 Harry J Crijns  35 Michael J Cutler  36 Tomasz Czuba  37   38 Scott M Damrauer  39   40   41 Martin Dichgans  42   43 Marcus Dörr  44   45 Elton Dudink  35 ThuyVy Duong  15 Christian Erikstrup  46   47 Tõnu Esko  48 Diane Fatkin  49   50   51 Jessica D Faul  52 Manuel Ferreira  53 Daniel F Freitag  54 Santhi K Ganesh  55   56 J Michael Gaziano  57   58 Bastiaan Geelhoed  2 Jonas Ghouse  4   59 Christian Gieger  60 Franco Giulianini  11 Sarah E Graham  3 Vilmundur Gudnason  16   61 Xiuqing Guo  62   63 Christopher Haggerty  64 Caroline Hayward  65 Susan R Heckbert  66   67 Kristian Hveem  22 Kaoru Ito  68 Renee Johnson  49   50 J Wouter Jukema  69   70 Sean J Jurgens  1   71 Stefan Kääb  72   73 John P Kane  74 Shinwan Kany  1   75   76 Sharon L R Kardia  77 Maryam Kavousi  78 Shaan Khurshid  1   79 Frederick K Kamanu  6   7 Paulus Kirchhof  75   76   80   81 Marcus E Kleber  82   83 Stacey Knight  36   84 Issei Komuro  85   86 Jose E Krieger  87 Lenore J Launer  88 Dadong Li  53 Honghuang Lin  89 Henry J Lin  62   63 Ruth J F Loos  25   90 Luca Lotta  53 Steven A Lubitz  1   79 Kathryn L Lunetta  91 Peter W Macfarlane  92   93 Patrik K E Magnusson  94 Rainer Malik  42   43 Helene Mantineo  95 Gregory M Marcus  96 Winfried März  83   97 David D McManus  98 Olle Melander  99 Giorgio E M Melloni  6 Pascal B Meyre  100 Kazuo Miyazawa  68 Sanghamitra Mohanty  101 Laia M Monfort  4   59 Martina Müller-Nurasyid  102   103 Navid A Nafissi  104 Andrea Natale  101   105 Saman Nazarian  106 Sisse R Ostrowski  107   108 Hui-Nam Pak  109 Shichao Pang  110 Ole B Pedersen  111 Nancy L Pedersen  94 Alexandre C Pereira  87 James P Pirruccello  1 Michael Preuss  25 Bruce M Psaty  112 Clive R Pullinger  113 Daniel J Rader  114 Joel T Rämö  1   9   115 Paul M Ridker  11   27 Michiel Rienstra  2 Lorenz Risch  116   117 Dan M Roden  118 Jerome I Rotter  62   119 Marc S Sabatine  6   7 Heribert Schunkert  110   120 Svati H Shah  104 Jaemin Shim  121 M Benjamin Shoemaker  122 Bridget Simonson  1 Moritz F Sinner  72   73 Roelof A J Smit  25 Jennifer A Smith  52   77 Nicholas L Smith  66   67   123 J Gustav Smith  37   38 Elsayed Z Soliman  124 Erik Sørensen  107 Nona Sotoodehnia  125 Daniel Strbian  126 Bruno H Stricker  78 Maris Teder-Laving  48 Yan V Sun  12   127 Sébastien Thériault  34   128 Rosa B Thorolfsdottir  5 Unnur Thorsteinsdottir  5   16 Arnljot Tveit  31   129 Pim van der Harst  130 Joyce van Meurs  78   131 Biqi Wang  91 Stefan Weiss  45   132 Quinn S Wells  118 Lu-Chen Weng  1   133   134 Peter W Wilson  12   135   136 Ling Xiao  1   9 Pil-Sung Yang  137 Jie Yao  62 Zachary T Yoneda  122 Tanja Zeller  76   138 Lingyao Zeng  54 Wei Zhao  52   77 Xiang Zhou  139 Sebastian Zöllner  140 BioBank Japan ProjectRegeneron Genetics CenterDBDS Genomic ConsortiumChristian T Ruff  6   7 Henning Bundgaard  59   108 Cristen Willer  3   141 Kari Stefansson  5   16 Patrick T Ellinor  142   143   144
Affiliations
Meta-Analysis

Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases

Carolina Roselli et al. Nat Genet. 2025 Mar.

Abstract

Atrial fibrillation (AF) is the most common heart rhythm abnormality and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies increased the power to detect single-nucleotide variant associations and found more than 350 AF-associated genetic loci. We identified candidate genes related to muscle contractility, cardiac muscle development and cell-cell communication at 139 loci. Furthermore, we assayed chromatin accessibility using assay for transposase-accessible chromatin with sequencing and histone H3 lysine 4 trimethylation in stem cell-derived atrial cardiomyocytes. We observed a marked increase in chromatin accessibility for our sentinel variants and prioritized genes in atrial cardiomyocytes. Finally, a polygenic risk score (PRS) based on our updated effect estimates improved AF risk prediction compared to the CHARGE-AF clinical risk score and a previously reported PRS for AF. The doubling of known risk loci will facilitate a greater understanding of the pathways underlying AF.

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Conflict of interest statement

Competing interests: B.M.P. serves on the steering committee of the Yale Open Data Access Project funded by Johnson & Johnson. C.D.A. receives sponsored research support from Bayer AG and has consulted for ApoPharma. C. Haggerty receives research support from Tempus Labs, outside the scope of the present work. C.M.A. receives sponsored research support from St. Jude, Abbott and Roche. C.R. is supported by a grant from Bayer AG to the Broad Institute focused on the development of therapeutics for cardiovascular disease. C.R. is a full-time employee of GSK as of 1 July 2024. C.T.R. reports research grants through Brigham and Women’s Hospital from Amgen, Anthos, AstraZeneca, Daiichi Sankyo, Janssen, Merck and Novartis and has received honoraria for scientific advisory boards and consulting from Anthos, Bayer, Bristol Myers Squibb, Daiichi Sankyo, Janssen, Pfizer, Regeneron and Sirius. The spouse of C.W. works at Regeneron Pharmaceuticals. D.O.A., D.G., G. Sveinbjornsson, H.A., H.H., K.S., R.B.T. and U.T. are employees of deCODE genetics/Amgen. D.C. has received consultancy fees from Roche Diagnostics and Trimedics, and speaker’s fees from BMS/Pfizer and Servier, all outside of the current work. D.F.F. is a full-time employee of Bayer. E.B. performs uncompensated consultancies and lectures with The Medicines Company. E.-K.C. reports research grants or speaking fees from Abbott, Bayer, BMS/Pfizer, Biosense Webster, Chong Kun Dang, Daewoong Pharmaceutical, Daiichi Sankyo, DeepQure, Dreamtech, Jeil Pharmaceutical, Medtronic, Samjinpharm, Seers Technology and Skylabs. L.-C.W. receives sponsored research support from IBM to the Broad Institute. L.Z. is a full-time employee of Bayer AG. M.E.K. is employed by SYNLAB Holding Deutschland. M.S.S. receives research grant support through Brigham and Women’s Hospital from Abbott, Amgen, Anthos Therapeutics, AstraZeneca, Bayer, Daiichi Sankyo, Eisai, Intarcia, Ionis, Medicines Company, MedImmune, Merck, Novartis, Pfizer and Quark Pharmaceuticals and consults for Althera, Amgen, Anthos Therapeutics, AstraZeneca, Beren Therapeutics, Bristol Myers Squibb, DalCor, Dr. Reddy’s Laboratories, Fibrogen, Intarcia, Merck, Moderna, Novo Nordisk and Silence Therapeutics; additionally, M.S.S. is a member of the TIMI Study Group, which has also received institutional research grant support through Brigham and Women’s Hospital from ARCA Biopharma, Janssen Research and Development, Siemens Healthcare Diagnostics, Softcell Medical Limited, Regeneron, Roche and Zora Biosciences. N.A.M. reports involvement in clinical trials with Amgen, Pfizer, Ionis, Novartis and AstraZeneca without personal fees, payments or increase in salary. P.M.R. has received investigator-initiated research grant support for unrelated projects from NHLBI, Operation Warp Speed, Novartis, Kowa, Amarin and Pfizer and has served as a consultant on unrelated issues to Novo Nordisk, Flame, Agepha, Uppton, Novartis, Jansen, Health Outlook, Civi Biopharm, Alnylam and SOCAR. P.T.E. receives sponsored research support from Bayer AG, Bristol Myers Squibb, Pfizer and Novo Nordisk; he has also served on advisory boards or consulted for Bayer AG. S.A.L. is a full-time employee of Novartis Institutes for BioMedical Research as of 18 July 2022. Previously, S.A.L. received sponsored research support from Bristol Myers Squibb/Pfizer, Bayer, Boehringer Ingelheim, Fitbit, IBM, Medtronic and Premier, and consulted for Bristol Myers Squibb/Pfizer, Bayer, Blackstone Life Sciences and Invitae. S.M.D. receives research support from RenalytixAI and personal consulting fees from Calico Labs, outside the scope of the current research. W.M. reports grants and/or personal fees from Siemens Healthineers, Aegerion Pharmaceuticals, AMGEN, AstraZeneca, Sanofi, Alexion Pharmaceuticals, BASF, Abbott Diagnostics, Numares, Berlin-Chemie, Akzea Therapeutics, Bayer Vital, bestbion dx, Boehringer Ingelheim Pharma, Immundiagnostik, Merck Chemicals, MSD Sharp and Dohme, Novartis Pharma and Olink Proteomics, and other from Synlab Holding Deutschland, all outside the submitted work. A.N. is a consultant for Abbott, Biosrnse Webster, Biotronik, Boston Sci, iRhythm, Field Medical, Pulse Bioselect and Medtronic. S. Khurshid receives sponsored research support from Bayer AG. All other authors declare no competing interests.

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