Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases
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期刊论文
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发表日期:
2025年3月6日
- Carolina Roselli,
- Ida Surakka,
- Morten S. Olesen,
- Gardar Sveinbjornsson,
- Nicholas A. Marston,
- Seung Hoan Choi,
- Hilma Holm,
- Mark Chaffin,
- Daniel Gudbjartsson,
- Matthew C. Hill,
- Hildur Aegisdottir,
- Christine M. Albert,
- Alvaro Alonso,
- Christopher D. Anderson,
- Dan E. Arking,
- David O. Arnar,
- John Barnard,
- Emelia J. Benjamin,
- Eugene Braunwald,
- Ben Brumpton,
- Archie Campbell,
- Nathalie Chami,
- Daniel I. Chasman,
- Kelly Cho,
- Eue-Keun Choi,
- Ingrid E. Christophersen,
- Mina K. Chung,
- David Conen,
- Harry J. Crijns,
- Michael J. Cutler,
- Tomasz Czuba,
- Scott M. Damrauer,
- Martin Dichgans,
- Marcus Dörr,
- Elton Dudink,
- ThuyVy Duong,
- Christian Erikstrup,
- Tõnu Esko,
- Diane Fatkin,
- Jessica D. Faul,
- Manuel Ferreira,
- Daniel F. Freitag,
- Santhi K. Ganesh,
- J. Michael Gaziano,
- Bastiaan Geelhoed,
- Jonas Ghouse,
- Christian Gieger,
- Franco Giulianini,
- Sarah E. Graham,
- Vilmundur Gudnason,
- Xiuqing Guo,
- Christopher Haggerty,
- Caroline Hayward,
- Susan R. Heckbert,
- Kristian Hveem,
- Kaoru Ito,
- Renee Johnson,
- J. Wouter Jukema,
- Sean J. Jurgens,
- Stefan Kääb,
- John P. Kane,
- Shinwan Kany,
- Sharon L. R. Kardia,
- Maryam Kavousi,
- Shaan Khurshid,
- Frederick K. Kamanu,
- Paulus Kirchhof,
- Marcus E. Kleber,
- Stacey Knight,
- Issei Komuro,
- Jose E. Krieger,
- Lenore J. Launer,
- Dadong Li,
- Honghuang Lin,
- Henry J. Lin,
- Ruth J. F. Loos,
- Luca Lotta,
- Steven A. Lubitz,
- Kathryn L. Lunetta,
- Peter W. Macfarlane,
- Patrik K. E. Magnusson,
- Rainer Malik,
- Helene Mantineo,
- Gregory M. Marcus,
- Winfried März,
- David D. McManus,
- Olle Melander,
- Giorgio E. M. Melloni,
- Pascal B. Meyre,
- Kazuo Miyazawa,
- Sanghamitra Mohanty,
- Laia M. Monfort,
- Martina Müller-Nurasyid,
- Navid A. Nafissi,
- Andrea Natale,
- Saman Nazarian,
- Sisse R. Ostrowski,
- Hui-Nam Pak,
- Shichao Pang,
- Ole B. Pedersen,
- Nancy L. Pedersen,
- Alexandre C. Pereira,
- James P. Pirruccello,
- Michael Preuss,
- Bruce M. Psaty,
- Clive R. Pullinger,
- Daniel J. Rader,
- Joel T. Rämö,
- Paul M. Ridker,
- Michiel Rienstra,
- Lorenz Risch,
- Dan M. Roden,
- Jerome I. Rotter,
- Marc S. Sabatine,
- Heribert Schunkert,
- Svati H. Shah,
- Jaemin Shim,
- M. Benjamin Shoemaker,
- Bridget Simonson,
- Moritz F. Sinner,
- Roelof A. J. Smit,
- Jennifer A. Smith,
- Nicholas L. Smith,
- J. Gustav Smith,
- Elsayed Z. Soliman,
- Erik Sørensen,
- Nona Sotoodehnia,
- Daniel Strbian,
- Bruno H. Stricker,
- Maris Teder-Laving,
- Yan V. Sun,
- Sébastien Thériault,
- Rosa B. Thorolfsdottir,
- Unnur Thorsteinsdottir,
- Arnljot Tveit,
- Pim van der Harst,
- Joyce van Meurs,
- Biqi Wang,
- Stefan Weiss,
- Quinn S. Wells,
- Lu-Chen Weng,
- Peter W. Wilson,
- Ling Xiao,
- Pil-Sung Yang,
- Jie Yao,
- Zachary T. Yoneda,
- Tanja Zeller,
- Lingyao Zeng,
- Wei Zhao,
- Xiang Zhou,
- Sebastian Zöllner,
- Christian T. Ruff,
- Henning Bundgaard,
- Cristen Willer,
- Kari Stefansson,
- Patrick T. Ellinor
摘要
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.