volume 57 issue 3 pages 548-562

Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk

Seung Hoan Choi 1, 2
Sean J. Jurgens 1, 3
Ling Xiao 1, 4
Matthew C. Hill 1, 4
Christopher M Haggerty 5
Valerie N. Morrill 1
Nicholas A. Marston 7, 8
Lu-Chen Weng 1, 4
James Pirruccello 1, 4, 9
David O. Arnar 6, 10, 11
Daniel Fannar Gudbjartsson 6, 12
Helene Mantineo 1
Aenne S Von Falkenhausen 13, 14
Andrea Natale 15
Arnljot Tveit 16
Bastiaan Geelhoed 17
Carolina Roselli 1
David R. Van Wagoner 18
Dawood Darbar 19
Doreen Haase 20
Giovanni E. Davogustto 22
Goo Jun 23
Hugh Calkins 24
Jeffrey L. Anderson 25, 26
Jacob A. Brody 27
Jennifer L. Halford 1, 4
JOHN W. BARNARD 28
John E Hokanson 29
Jonathan D. Smith 18
Joshua C. Bis 27
Kendra A. Young 29
Linda S.B. Johnson 30
L Risch 31, 32
Lorne J. Gula 33
Lydia Coulter Kwee 34
M Chaffin 1
M Kühne 35
Michael Preuss 36
Namrata Gupta 37
Navid A. Nafissi 38
Nicholas L. Smith 39, 40
Peter M. Nilsson 41, 42
Pim van der Harst 17, 43
Quinn S. Wells 22, 44
Renae L. Judy 45, 46
Renate B. Schnabel 20, 47, 48
Renee Johnson 49, 50
Roelof A. J. Smit 36
Stacey Gabriel 37
Stacey Knight 25, 51
Tetsushi Furukawa 52
Thomas W. Blackwell 53
Victor Nauffal 1, 4
Xin Wang 1, 4
Yuan-I Min 54
Zachary T. Yoneda 22
Connie R. Bezzina 3
Alvaro Alonso 56
B Psaty 27, 39
Dan E. Arking 58
Dan M Roden 44
Daniel I Chasman 37, 59
Daniel J. Rader 60
David Conen 61
David D McManus 62
Diane Fatkin 49, 50, 63
Emelia J. Benjamin 64, 65
Eric Boerwinkle 66
Gregory M. Marcus 9
Ingrid E. Christophersen 16, 67
J. Gustav Smith 68, 69
Jason D. Roberts 33, 70
Laura M Raffield 71
Michael H. Cho 72
Michael J Cutler 25
Michiel Rienstra 17
Mina K. Chung 73
Morten S. Olesen 74, 75
Moritz F. Sinner 13, 14
Nona Sotoodehnia 27
Paulus Kirchhof 20, 47, 48, 76
RUTH J. F. LOOS 36, 77
Saman Nazarian 78
SANGHAMITRA MOHANTY 15, 79
Scott M. Damrauer 45, 46, 60
Stefan Kääb 13, 14
S R Heckbert 40, 80
Susan Redline 81
Svati H. Shah 38
Toshihiro Tanaka 82, 83
Yusuke Ebana 84
Goncalo Abecasis 6, 11
Xiaodong Bai 7, 8
Suganthi Balasubramanian 7, 8
Aris Baras 2, 64
Christina Beechert 1, 4, 85
Boris Boutkov 1, 4, 85
5
 
Department of Translational Data Science and Informatics, Geisinger, Danville, USA
6
 
deCODE genetics/AMGEN, Reykjavik, Iceland
7
 
TIMI Study Group, Boston, USA
15
 
Texas Cardiac Arrhythmia Institute, St David’s Medical Center, Austin, USA
16
 
Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
20
 
Atrial Fibrillation Network (AFNET), Münster, Germany
25
 
Intermountain Heart Institute, Intermountain Medical Center, Murray, USA
40
 
Kaiser Permanente Washington Health Research Institute, Seattle, USA
46
 
Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, USA
47
 
Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
Publication typeJournal Article
Publication date2025-03-06
scimago Q1
wos Q1
SJR16.586
CiteScore45.1
Impact factor29.0
ISSN10614036, 15461718
Abstract
Atrial fibrillation (AF) is a prevalent and morbid abnormality of the heart rhythm with a strong genetic component. Here, we meta-analyzed genome and exome sequencing data from 36 studies that included 52,416 AF cases and 277,762 controls. In burden tests of rare coding variation, we identified novel associations between AF and the genes MYBPC3, LMNA, PKP2, FAM189A2 and KDM5B. We further identified associations between AF and rare structural variants owing to deletions in CTNNA3 and duplications of GATA4. We broadly replicated our findings in independent samples from MyCode, deCODE and UK Biobank. Finally, we found that CRISPR knockout of KDM5B in stem-cell-derived atrial cardiomyocytes led to a shortening of the action potential duration and widespread transcriptomic dysregulation of genes relevant to atrial homeostasis and conduction. Our results highlight the contribution of rare coding and structural variants to AF, including genetic links between AF and cardiomyopathies, and expand our understanding of the rare variant architecture for this common arrhythmia. Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.
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Choi S. H. et al. Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk // Nature Genetics. 2025. Vol. 57. No. 3. pp. 548-562.
GOST all authors (up to 50) Copy
Choi S. H. et al. Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk // Nature Genetics. 2025. Vol. 57. No. 3. pp. 548-562.
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@article{2025_Choi,
author = {Seung Hoan Choi and Sean J. Jurgens and Ling Xiao and Matthew C. Hill and Christopher M Haggerty and Gardar Sveinbjörnsson and Valerie N. Morrill and Nicholas A. Marston and Lu-Chen Weng and James Pirruccello and David O. Arnar and Daniel Fannar Gudbjartsson and Helene Mantineo and Aenne S Von Falkenhausen and Andrea Natale and Arnljot Tveit and Bastiaan Geelhoed and Carolina Roselli and David R. Van Wagoner and Dawood Darbar and Doreen Haase and Elsayed Z. Soliman and Giovanni E. Davogustto and Goo Jun and Hugh Calkins and Jeffrey L. Anderson and Jacob A. Brody and Jennifer L. Halford and JOHN W. BARNARD and John E Hokanson and Jonathan D. Smith and Joshua C. Bis and Kendra A. Young and Linda S.B. Johnson and L Risch and Lorne J. Gula and Lydia Coulter Kwee and M Chaffin and M Kühne and Michael Preuss and Namrata Gupta and Navid A. Nafissi and Nicholas L. Smith and Peter M. Nilsson and Pim van der Harst and Quinn S. Wells and Renae L. Judy and Renate B. Schnabel and Renee Johnson and Roelof A. J. Smit and others},
title = {Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk},
journal = {Nature Genetics},
year = {2025},
volume = {57},
publisher = {Springer Nature},
month = {mar},
url = {https://www.nature.com/articles/s41588-025-02074-9},
number = {3},
pages = {548--562},
doi = {10.1038/s41588-025-02074-9}
}
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MLA Copy
Choi, Seung Hoan, et al. “Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk.” Nature Genetics, vol. 57, no. 3, Mar. 2025, pp. 548-562. https://www.nature.com/articles/s41588-025-02074-9.