Heritability of Atrial Fibrillation.

Lu-Chen Weng, Seung Hoan Choi, Derek Klarin, J Gustav Smith, Po-Ru Loh, Mark Chaffin, Carolina Roselli, Olivia L Hulme, Kathryn L Lunetta, Josée Dupuis, Emelia J Benjamin, Christopher Newton-Cheh, Sekar Kathiresan, Patrick T Ellinor, Steven A Lubitz
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引用次数: 0

Abstract

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, h2g ) using data from 120 286 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 h2g using a variance components method with variants having a minor allele frequency ≥1%. We evaluated h2g in age, sex, and genomic strata of interest. The h2g 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.

Abstract Image

Abstract Image

房颤的遗传性。
背景:先前的报道涉及与房颤相关的多个遗传基因座,但全基因组变异对房颤易感性的贡献尚未量化。方法和结果:我们评估了全基因组单核苷酸多态性变异对AF风险的贡献(单核苷酸多态性遗传力,h2g),使用来自120 基于人群的英国生物库中286名欧洲血统的无关个体(2987名AF患者)。我们根据自我报告、医疗记录账单代码、程序代码和死亡记录确定AF。我们使用方差分量法对次要等位基因频率≥1%的变体进行了h2g估计。我们评估了h2g的年龄、性别和感兴趣的基因组阶层。房颤的h2g为22.1%(95%置信区间,15.6%-28.5%),早发性房颤与老年性房颤(≤65岁与>65岁)以及男性和女性的h2g相似。由遗传变异解释的房颤变异的比例主要由常见(次要等位基因频率,≥5%)变异(20.4%;95%置信区间,15.1%-25.6%)引起。只有6.4%(95%可信区间,5.1%-7.7%)的房颤方差归因于已知房颤易感性、心律失常和心肌病基因区域内的变异。结论:遗传变异在很大程度上增加了房颤的风险。基因组变异导致AF的风险与其他几种心血管疾病的风险相似。已建立的AF基因座只能解释中等比例的疾病风险,这表明有必要进一步的基因发现,重点是常见变异,以了解AF的因果遗传基础。
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来源期刊
Circulation: Cardiovascular Genetics
Circulation: Cardiovascular Genetics CARDIAC & CARDIOVASCULAR SYSTEMS-GENETICS & HEREDITY
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Circulation: Genomic and Precision Medicine considers all types of original research articles, including studies conducted in human subjects, laboratory animals, in vitro, and in silico. Articles may include investigations of: clinical genetics as applied to the diagnosis and management of monogenic or oligogenic cardiovascular disorders; the molecular basis of complex cardiovascular disorders, including genome-wide association studies, exome and genome sequencing-based association studies, coding variant association studies, genetic linkage studies, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics; integration of electronic health record data or patient-generated data with any of the aforementioned approaches, including phenome-wide association studies, or with environmental or lifestyle factors; pharmacogenomics; regulation of gene expression; gene therapy and therapeutic genomic editing; systems biology approaches to the diagnosis and management of cardiovascular disorders; novel methods to perform any of the aforementioned studies; and novel applications of precision medicine. Above all, we seek studies with relevance to human cardiovascular biology and disease.
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