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Monogenic and Polygenic Contributions to Atrial Fibrillation Risk: Results from a National Biobank

  • Seung Hoan Choi
  • , Sean J. Jurgens
  • , Lu-Chen Weng
  • , James P. Pirruccello
  • , Carolina Roselli
  • , Mark Chaffin
  • , Christina J. -Y. Lee
  • , Amelia W. Hall
  • , Amit V. Khera
  • , Kathryn L. Lunetta
  • , Steven A. Lubitz
  • , Patrick T. Ellinor*
  • *Corresponding author for this work
  • Broad Institute of MIT and Harvard
  • Massachusetts General Hospital
  • Framingham Heart Study
  • Boston University
  • Broad Institute
  • Harvard University

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Rationale: Genome-wide association studies have identified over 100 genetic loci for atrial fibrillation (AF); recent work described an association between loss-of-function (LOF) variants in TTN and early-onset AF. Objective: We sought to determine the contribution of rare and common genetic variation to AF risk in the general population. Methods: The UK Biobank is a population-based study of 500 000 individuals including a subset with genome-wide genotyping and exome sequencing. In this case-control study, we included AF cases and controls of genetically determined white-European ancestry; analyses were performed using a logistic mixed-effects model adjusting for age, sex, the first 4 principal components of ancestry, empirical relationships, and case-control imbalance. An exome-wide, gene-based burden analysis was performed to examine the relationship between AF and rare, high-confidence LOF variants in genes with ≥10 LOF carriers. A polygenic risk score for AF was estimated using the LDpred algorithm. We then compared the contribution of AF polygenic risk score and LOF variants to AF risk. Results: The study included 1546 AF cases and 41 593 controls. In an analysis of 9099 genes with sufficient LOF variant carriers, a significant association between AF and rare LOF variants was observed in a single gene, TTN (odds ratio, 2.71, P=2.50×10-8). The association with AF was more significant (odds ratio, 6.15, P=3.26×10-14) when restricting to LOF variants located in exons highly expressed in cardiac tissue (TTNLOF). Overall, 0.44% of individuals carried TTNLOFvariants, of whom 14% had AF. Among individuals in the highest 0.44% of the AF polygenic risk score only 9.3% had AF. In contrast, the AF polygenic risk score explained 4.7% of the variance in AF susceptibility, while TTNLOFvariants only accounted for 0.2%. Conclusions: Both monogenic and polygenic factors contribute to AF risk in the general population. While rare TTNLOFvariants confer a substantial AF penetrance, the additive effect of many common variants explains a larger proportion of genetic susceptibility to AF.
Original languageEnglish
Pages (from-to)200-209
JournalCirc. Res.
Volume126
Issue number2
DOIs
Publication statusPublished - 17 Jan 2020
Externally publishedYes

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