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

Roselli, Carolina and Surakka, Ida and Olesen, Morten S. and Sveinbjornsson, Gardar and Marston, Nicholas A. and Choi, Seung Hoan and Holm, Hilma and Chaffin, Mark and Gudbjartsson, Daniel and Hill, Matthew C. and Aegisdottir, Hildur and Albert, Christine M. and Alonso, Alvaro and Anderson, Christopher D. and Arking, Dan E. and Arnar, David O. and Barnard, John and Benjamin, Emelia J. and Braunwald, Eugene and Brumpton, Ben and Campbell, Archie and Chami, Nathalie and Chasman, Daniel I. and Cho, Kelly and Choi, Eue-Keun and Christophersen, Ingrid E. and Chung, Mina K. and Conen, David and Crijns, Harry J. and Cutler, Michael J. and Czuba, Tomasz and Damrauer, Scott M. and Dichgans, Martin and Dörr, Marcus and Dudink, Elton and Duong, ThuyVy and Erikstrup, Christian and Esko, Tõnu and Fatkin, Diane and Faul, Jessica D. and Ferreira, Manuel and Freitag, Daniel F. and Ganesh, Santhi K. and Gaziano, J. Michael and Geelhoed, Bastiaan and Ghouse, Jonas and Gieger, Christian and Giulianini, Franco and Graham, Sarah E. and Gudnason, Vilmundur and Guo, Xiuqing and Haggerty, Christopher and Hayward, Caroline and Heckbert, Susan R. and Hveem, Kristian and Ito, Kaoru and Johnson, Renee and Jukema, J. Wouter and Jurgens, Sean J. and Kääb, Stefan and Kane, John P. and Kany, Shinwan and Kardia, Sharon L. R. and Kavousi, Maryam and Khurshid, Shaan and Kamanu, Frederick K. and Kirchhof, Paulus and Kleber, Marcus E. and Knight, Stacey and Komuro, Issei and Krieger, Jose E. and Launer, Lenore J. and Li, Dadong and Lin, Honghuang and Lin, Henry J. and Loos, Ruth J. F. and Lotta, Luca and Lubitz, Steven A. and Lunetta, Kathryn L. and Macfarlane, Peter W. and Magnusson, Patrik K. E. and Malik, Rainer and Mantineo, Helene and Marcus, Gregory M. and März, Winfried and McManus, David D. and Melander, Olle and Melloni, Giorgio E. M. and Meyre, Pascal B. and Miyazawa, Kazuo and Mohanty, Sanghamitra and Monfort, Laia M. and Müller-Nurasyid, Martina and Nafissi, Navid A. and Natale, Andrea and Nazarian, Saman and Ostrowski, Sisse R. and Pak, Hui-Nam and Pang, Shichao and Pedersen, Ole B. and Pedersen, Nancy L. and Pereira, Alexandre C. and Pirruccello, James P. and Preuss, Michael and Psaty, Bruce M. and Pullinger, Clive R. and Rader, Daniel J. and Rämö, Joel T. and Ridker, Paul M. and Rienstra, Michiel and Risch, Lorenz and Roden, Dan M. and Rotter, Jerome I. and Sabatine, Marc S. and Schunkert, Heribert and Shah, Svati H. and Shim, Jaemin and Shoemaker, M. Benjamin and Simonson, Bridget and Sinner, Moritz F. and Smit, Roelof A. J. and Smith, Jennifer A. and Smith, Nicholas L. and Smith, J. Gustav and Soliman, Elsayed Z. and Sørensen, Erik and Sotoodehnia, Nona and Strbian, Daniel and Stricker, Bruno H. and Teder-Laving, Maris and Sun, Yan V. and Thériault, Sébastien and Thorolfsdottir, Rosa B. and Thorsteinsdottir, Unnur and Tveit, Arnljot and van der Harst, Pim and van Meurs, Joyce and Wang, Biqi and Weiss, Stefan and Wells, Quinn S. and Weng, Lu-Chen and Wilson, Peter W. and Xiao, Ling and Yang, Pil-Sung and Yao, Jie and Yoneda, Zachary T. and Zeller, Tanja and Zeng, Lingyao and Zhao, Wei and Zhou, Xiang and Zöllner, Sebastian and Ruff, Christian T. and Bundgaard, Henning and Willer, Cristen and Stefansson, Kari and Ellinor, Patrick T. (2025) Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases. Nature Genetics, 57 (3). pp.539-547. ISSN 1061-4036

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Link to published document: https://doi.org/10.1038/s41588-024-02072-3

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.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Depositing User: Repository Administrator
Date Deposited: 05 May 2025 06:47
Last Modified: 05 May 2025 06:47
URI: https://eprints.victorchang.edu.au/id/eprint/1696

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