Biobank-driven genomic discovery yields new insight into atrial fibrillation biology.

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 DeyHåvard 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

Research output: Contribution to journalArticlepeer-review

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)
Original languageEnglish
JournalNature Genetics
DOIs
Publication statusPublished - 1 Sept 2018

Other keywords

  • Gáttatif
  • Gen
  • Atrial Fibrillation
  • Genetics

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