Title |
Biobank-driven genomic discovery yields new insight into atrial fibrillation biology
|
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Published in |
Nature Genetics, July 2018
|
DOI | 10.1038/s41588-018-0171-3 |
Pubmed ID | |
Authors |
Jonas B. Nielsen, Rosa B. Thorolfsdottir, Lars G. Fritsche, Wei Zhou, Morten W. Skov, Sarah E. Graham, Todd J. Herron, Shane McCarthy, Ellen M. Schmidt, Gardar Sveinbjornsson, Ida Surakka, Michael R. Mathis, Masatoshi Yamazaki, Ryan D. Crawford, Maiken E. Gabrielsen, Anne Heidi Skogholt, Oddgeir L. Holmen, Maoxuan Lin, Brooke N. Wolford, Rounak Dey, Håvard Dalen, Patrick Sulem, Jonathan H. Chung, Joshua D. Backman, David O. Arnar, Unnur Thorsteinsdottir, Aris Baras, Colm O’Dushlaine, Anders G. Holst, Xiaoquan Wen, Whitney Hornsby, Frederick E. Dewey, Michael Boehnke, Sachin Kheterpal, Bhramar Mukherjee, Seunggeun Lee, Hyun M. Kang, Hilma Holm, Jacob Kitzman, Jordan A. Shavit, José Jalife, Chad M. Brummett, Tanya M. Teslovich, David J. Carey, Daniel F. Gudbjartsson, Kari Stefansson, Gonçalo R. Abecasis, Kristian Hveem, Cristen J. Willer |
Abstract |
To identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of >1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111 loci and prioritized 151 functional candidate genes likely to be involved in atrial fibrillation. Many of the identified risk variants fall near genes where more deleterious mutations have been reported to cause serious heart defects in humans (GATA4, MYH6, NKX2-5, PITX2, TBX5)1, or near genes important for striated muscle function and integrity (for example, CFL2, MYH7, PKP2, RBM20, SGCG, SSPN). Pathway and functional enrichment analyses also suggested that many of the putative atrial fibrillation genes act via cardiac structural remodeling, potentially in the form of an 'atrial cardiomyopathy'2, either during fetal heart development or as a response to stress in the adult heart. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 25 | 38% |
United Kingdom | 4 | 6% |
Japan | 2 | 3% |
Canada | 2 | 3% |
Norway | 1 | 2% |
Brazil | 1 | 2% |
India | 1 | 2% |
Sweden | 1 | 2% |
Singapore | 1 | 2% |
Other | 5 | 8% |
Unknown | 22 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 49% |
Scientists | 29 | 45% |
Practitioners (doctors, other healthcare professionals) | 3 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 325 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 69 | 21% |
Student > Ph. D. Student | 58 | 18% |
Student > Bachelor | 27 | 8% |
Student > Master | 24 | 7% |
Student > Doctoral Student | 20 | 6% |
Other | 50 | 15% |
Unknown | 77 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 85 | 26% |
Medicine and Dentistry | 69 | 21% |
Agricultural and Biological Sciences | 31 | 10% |
Computer Science | 11 | 3% |
Nursing and Health Professions | 7 | 2% |
Other | 33 | 10% |
Unknown | 89 | 27% |