From the Departments of Cellular and Molecular Medicine (J.H., G.T., J.D.S.), Quantitative Health Sciences (J.B.), Molecular Cardiology (S.G.-P., L.C., B.L., C.S.M., D.R.V.W., M.K.C.), Cardiovascular Medicine (C.S.M., D.R.V.W., M.K.C., J.D.S.), and Cardiothoracic Surgery (G.B.P., E.E.R., A.M.G., K.R.M., N.G.S.), Cleveland Clinic, Cleveland, OH.
Circ Genom Precis Med. 2018 Mar;11(3):e002107. doi: 10.1161/CIRCGEN.118.002107.
Genome-wide association studies have identified 23 loci for atrial fibrillation (AF), but the mechanisms responsible for these associations, as well as the causal genes and genetic variants, remain undefined.
To identify the effect of common genetic variants on gene expression that might explain the mechanisms linking genome-wide association loci with AF risk, we performed RNA sequencing of left atrial appendages from a biracial cohort of 265 subjects.
Combining gene expression data with genome-wide single nucleotide polymorphism data, we found that approximately two-thirds of the expressed genes were regulated in by common genetic variants at a false discovery rate of <0.05, defined as cis-expression quantitative trait loci. Twelve of 23 reported AF genome-wide association loci displayed genome-wide significant -expression quantitative trait loci, at (chromosome 1q24), (1q24), (2p14), (2q31), (5q22), (5q31), (7q31), (8p22), (10q22), (11q24), (12q24), and (14q23), suggesting that altered expression of these genes plays a role in AF susceptibility. Allelic expression imbalance was used as an independent method to characterize the cis-control of gene expression. One thousand two hundred forty-eight of 5153 queried genes had -single nucleotide polymorphisms that significantly regulated allelic expression at a false discovery rate of <0.05.
We provide a genome-wide catalog of the genetic control of gene expression in human left atrial appendage. These data can be used to confirm the relevance of genome-wide association loci and to direct future functional studies to identify the genes and genetic variants responsible for complex diseases such as AF.
全基因组关联研究已经确定了 23 个与心房颤动(AF)相关的位点,但这些关联的机制以及因果基因和遗传变异仍然不清楚。
为了确定常见遗传变异对可能解释与 AF 风险相关的全基因组关联位点的基因表达的影响,我们对来自 265 名双种族队列的左心耳进行了 RNA 测序。
将基因表达数据与全基因组单核苷酸多态性数据相结合,我们发现,大约三分之二的表达基因受到了常见遗传变异的调控,假发现率<0.05,定义为顺式表达数量性状基因座。23 个报告的 AF 全基因组关联位点中的 12 个显示出全基因组显著的-表达数量性状基因座,位于(染色体 1q24)、(1q24)、(2p14)、(2q31)、(5q22)、(5q31)、(7q31)、(8p22)、(10q22)、(11q24)、(12q24)和(14q23),这表明这些基因表达的改变在 AF 易感性中起作用。等位基因表达失衡被用作一种独立的方法来描述基因表达的顺式调控。在 5153 个查询基因中,有 1248 个基因的-单核苷酸多态性在假发现率<0.05 的情况下显著调节了等位基因表达。
我们提供了人类左心耳基因表达的全基因组遗传调控目录。这些数据可用于确认全基因组关联位点的相关性,并指导未来的功能研究,以确定与复杂疾病(如 AF)相关的基因和遗传变异。