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
- American Heart Association [17POST33660226, 13EIA14220013]
- National Institutes of Health (NIH) [K23HL114724, 2R01HL092577, 1R01HL128914, R01HL104156, K24HL105780]
- National Heart, Lung, and Blood Institute (NHLBI) [HHSN268201500001I, N01-HC-25195]
- Doris Duke Charitable Foundation [2014105, 2016077]
- Fondation Leducq [14CVD01]
- NHLBI of the NIH [T32 HL007734]
- Swedish Heart-Lung Foundation
- Swedish Research Council
- Wallenberg Centre for Molecular Medicine at Lund University
- Crafoord Foundation
- Swedish National Health Service, Skane University Hospital in Lund
- European Research Council
- Massachusetts General Hospital
- Donovan Family Foundation
- NIH [R01HL127564]
- Medical Research Council [MC_qA137853] Funding Source: researchfish
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available