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
,
Elsayed Z. Soliman
21
,
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
,
Zachary Laksman
55
,
Connie R. Bezzina
3
,
Alvaro Alonso
56
,
B Psaty
27, 39
,
Christine M. Albert
57
,
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
4
5
Department of Translational Data Science and Informatics, Geisinger, Danville, USA
|
6
deCODE genetics/AMGEN, Reykjavik, Iceland
|
7
TIMI Study Group, Boston, USA
|
8
10
13
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
|
27
35
38
40
Kaiser Permanente Washington Health Research Institute, Seattle, USA
|
45
46
Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, USA
|
47
Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
|
59
64
69
70
77
78
84
Publication type: Journal Article
Publication date: 2025-03-06
scimago Q1
wos Q1
SJR: 16.586
CiteScore: 45.1
Impact factor: 29.0
ISSN: 10614036, 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.
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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.
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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}
}
Cite this
MLA
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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.