• Seung Hoan Choi, Lu-Chen Weng, Carolina Roselli, Honghuang Lin, Christopher M Haggerty, M Benjamin Shoemaker, John Barnard, Dan E Arking, Daniel I Chasman, Christine M Albert, Mark Chaffin, Nathan R Tucker, Jonathan D Smith, Namrata Gupta, Stacey Gabriel, Lauren Margolin, Marisa A Shea, Christian M Shaffer, Zachary T Yoneda, Eric Boerwinkle, Nicholas L Smith, Edwin K Silverman, Susan Redline, Ramachandran S Vasan, Esteban G Burchard, Stephanie M Gogarten, Cecelia Laurie, Thomas W Blackwell, Gonçalo Abecasis, David J Carey, Brandon K Fornwalt, Diane T Smelser, Aris Baras, Frederick E Dewey, Cashell E Jaquish, George J Papanicolaou, Nona Sotoodehnia, David R Van Wagoner, Bruce M Psaty, Sekar Kathiresan, Dawood Darbar, Alvaro Alonso, Susan R Heckbert, Mina K Chung, Dan M Roden, Emelia J Benjamin, Michael F Murray, Kathryn L Lunetta, Steven A Lubitz, Patrick T Ellinor, and DiscovEHR study and the NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium.
• Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
• JAMA. 2018 Dec 11; 320 (22): 235423642354-2364.

ImportanceAtrial fibrillation (AF) is the most common arrhythmia affecting 1% of the population. Young individuals with AF have a strong genetic association with the disease, but the mechanisms remain incompletely understood.ObjectiveTo perform large-scale whole-genome sequencing to identify genetic variants related to AF.Design, Setting, And ParticipantsThe National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine Program includes longitudinal and cohort studies that underwent high-depth whole-genome sequencing between 2014 and 2017 in 18 526 individuals from the United States, Mexico, Puerto Rico, Costa Rica, Barbados, and Samoa. This case-control study included 2781 patients with early-onset AF from 9 studies and identified 4959 controls of European ancestry from the remaining participants. Results were replicated in the UK Biobank (346 546 participants) and the MyCode Study (42 782 participants).ExposuresLoss-of-function (LOF) variants in genes at AF loci and common genetic variation across the whole genome.Main Outcomes And MeasuresEarly-onset AF (defined as AF onset in persons <66 years of age). Due to multiple testing, the significance threshold for the rare variant analysis was P = 4.55 × 10-3.ResultsAmong 2781 participants with early-onset AF (the case group), 72.1% were men, and the mean (SD) age of AF onset was 48.7 (10.2) years. Participants underwent whole-genome sequencing at a mean depth of 37.8 fold and mean genome coverage of 99.1%. At least 1 LOF variant in TTN, the gene encoding the sarcomeric protein titin, was present in 2.1% of case participants compared with 1.1% in control participants (odds ratio [OR], 1.76 [95% CI, 1.04-2.97]). The proportion of individuals with early-onset AF who carried a LOF variant in TTN increased with an earlier age of AF onset (P value for trend, 4.92 × 10-4), and 6.5% of individuals with AF onset prior to age 30 carried a TTN LOF variant (OR, 5.94 [95% CI, 2.64-13.35]; P = 1.65 × 10-5). The association between TTN LOF variants and AF was replicated in an independent study of 1582 patients with early-onset AF (cases) and 41 200 control participants (OR, 2.16 [95% CI, 1.19-3.92]; P = .01).Conclusions And RelevanceIn a case-control study, there was a statistically significant association between an LOF variant in the TTN gene and early-onset AF, with the variant present in a small percentage of participants with early-onset AF (the case group). Further research is necessary to understand whether this is a causal relationship.

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