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

TitleMeta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases.
Publication TypeJournal Article
Year of Publication2025
AuthorsRoselli, C, Surakka, I, Olesen, MS, Sveinbjornsson, G, Marston, NA, Choi, SHoan, Holm, H, Chaffin, M, Gudbjartsson, D, Hill, MC, Aegisdottir, H, Albert, CM, Alonso, A, Anderson, CD, Arking, DE, Arnar, DO, Barnard, J, Benjamin, EJ, Braunwald, E, Brumpton, B, Campbell, A, Chami, N, Chasman, DI, Cho, K, Choi, E-K, Christophersen, IE, Chung, MK, Conen, D, Crijns, HJ, Cutler, MJ, Czuba, T, Damrauer, SM, Dichgans, M, Dörr, M, Dudink, E, Duong, TV, Erikstrup, C, Esko, T, Fatkin, D, Faul, JD, Ferreira, M, Freitag, DF, Ganesh, SK, J Gaziano, M, Geelhoed, B, Ghouse, J, Gieger, C, Giulianini, F, Graham, SE, Gudnason, V, Guo, X, Haggerty, C, Hayward, C, Heckbert, SR, Hveem, K, Ito, K, Johnson, R, J Jukema, W, Jurgens, SJ, Kääb, S, Kane, JP, Kany, S, Kardia, SLR, Kavousi, M, Khurshid, S, Kamanu, FK, Kirchhof, P, Kleber, ME, Knight, S, Komuro, I, Krieger, JE, Launer, LJ, Li, D, Lin, H, Lin, HJ, Loos, RJF, Lotta, L, Lubitz, SA, Lunetta, KL, Macfarlane, PW, Magnusson, PKE, Malik, R, Mantineo, H, Marcus, GM, März, W, McManus, DD, Melander, O, Melloni, GEM, Meyre, PB, Miyazawa, K, Mohanty, S, Monfort, LM, Müller-Nurasyid, M, Nafissi, NA, Natale, A, Nazarian, S, Ostrowski, SR, Pak, H-N, Pang, S, Pedersen, OB, Pedersen, NL, Pereira, AC, Pirruccello, JP, Preuss, M, Psaty, BM, Pullinger, CR, Rader, DJ, Rämö, JT, Ridker, PM, Rienstra, M, Risch, L, Roden, DM, Rotter, JI, Sabatine, MS, Schunkert, H, Shah, SH, Shim, J, M Shoemaker, B, Simonson, B, Sinner, MF, Smit, RAJ, Smith, JA, Smith, NL, J Smith, G, Soliman, EZ, Sørensen, E, Sotoodehnia, N, Strbian, D, Stricker, BH, Teder-Laving, M, Sun, YV, Thériault, S, Thorolfsdottir, RB, Thorsteinsdottir, U, Tveit, A, van der Harst, P, van Meurs, J, Wang, B, Weiss, S, Wells, QS, Weng, L-C, Wilson, PW, Xiao, L, Yang, P-S, Yao, J, Yoneda, ZT, Zeller, T, Zeng, L, Zhao, W, Zhou, X, Zöllner, S, Ruff, CT, Bundgaard, H, Willer, C, Stefansson, K, Ellinor, PT
Corporate/Institutional AuthorsBioBank Japan Project, Regeneron Genetics Center, DBDS Genomic Consortium
JournalNat Genet
Volume57
Issue3
Pagination539-547
Date Published2025 Mar
ISSN1546-1718
KeywordsAtrial Fibrillation, Chromatin, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Myocytes, Cardiac, Polymorphism, Single Nucleotide, Risk Factors
Abstract<p>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.</p>
DOI10.1038/s41588-024-02072-3
Alternate JournalNat Genet
PubMed ID40050429
PubMed Central ID2518320
Grant ListR01 HL158071 / HL / NHLBI NIH HHS / United States
ePub date: 
25/03