4.0 Article

Heritability of Atrial Fibrillation

Journal

CIRCULATION-CARDIOVASCULAR GENETICS
Volume 10, Issue 6, Pages -

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCGENETICS.117.001838

Keywords

atrial fibrillation; epidemiology; genome-wide association study; genomics; medical records

Funding

  1. American Heart Association [17POST33660226, 13EIA14220013]
  2. National Institutes of Health (NIH) [K23HL114724, 2R01HL092577, 1R01HL128914, R01HL104156, K24HL105780]
  3. National Heart, Lung, and Blood Institute (NHLBI) [HHSN268201500001I, N01-HC-25195]
  4. Doris Duke Charitable Foundation [2014105, 2016077]
  5. Fondation Leducq [14CVD01]
  6. NHLBI of the NIH [T32 HL007734]
  7. Swedish Heart-Lung Foundation
  8. Swedish Research Council
  9. Wallenberg Centre for Molecular Medicine at Lund University
  10. Crafoord Foundation
  11. Swedish National Health Service, Skane University Hospital in Lund
  12. European Research Council
  13. Massachusetts General Hospital
  14. Donovan Family Foundation
  15. NIH [R01HL127564]
  16. Medical Research Council [MC_qA137853] Funding Source: researchfish

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Background Previous reports have implicated multiple genetic loci associated with AF, but the contributions of genome-wide variation to AF susceptibility have not been quantified. Methods and Results We assessed the contribution of genome-wide single-nucleotide polymorphism variation to AF risk (single-nucleotide polymorphism heritability, h(g)(2)) using data from 120286 unrelated individuals of European ancestry (2987 with AF) in the population-based UK Biobank. We ascertained AF based on self-report, medical record billing codes, procedure codes, and death records. We estimated h(g)(2) using a variance components method with variants having a minor allele frequency 1%. We evaluated h(g)(2) in age, sex, and genomic strata of interest. The h(g)(2) for AF was 22.1% (95% confidence interval, 15.6%-28.5%) and was similar for early- versus older-onset AF (65 versus >65 years of age), as well as for men and women. The proportion of AF variance explained by genetic variation was mainly accounted for by common (minor allele frequency, 5%) variants (20.4%; 95% confidence interval, 15.1%-25.6%). Only 6.4% (95% confidence interval, 5.1%-7.7%) of AF variance was attributed to variation within known AF susceptibility, cardiac arrhythmia, and cardiomyopathy gene regions. Conclusions Genetic variation contributes substantially to AF risk. The risk for AF conferred by genomic variation is similar to that observed for several other cardiovascular diseases. Established AF loci only explain a moderate proportion of disease risk, suggesting that further genetic discovery, with an emphasis on common variation, is warranted to understand the causal genetic basis of AF.

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