Richardson Tom G, Zheng Jie, Davey Smith George, Timpson Nicholas J, Gaunt Tom R, Relton Caroline L, Hemani Gibran
MRC Integrative Epidemiology Unit, Bristol Medical School (Population Health Sciences), University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
MRC Integrative Epidemiology Unit, Bristol Medical School (Population Health Sciences), University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
Am J Hum Genet. 2017 Oct 5;101(4):590-602. doi: 10.1016/j.ajhg.2017.09.003.
The extent to which genetic influences on cardiovascular disease risk are mediated by changes in DNA methylation levels has not been systematically explored. We developed an analytical framework that integrates genetic fine mapping and Mendelian randomization with epigenome-wide association studies to evaluate the causal relationships between methylation levels and 14 cardiovascular disease traits. We identified ten genetic loci known to influence proximal DNA methylation which were also associated with cardiovascular traits after multiple-testing correction. Bivariate fine mapping provided evidence that the individual variants responsible for the observed effects on cardiovascular traits at the ADCY3 and ADIPOQ loci were potentially mediated through changes in DNA methylation, although we highlight that we are unable to reliably separate causality from horizontal pleiotropy. Estimates of causal effects were replicated with results from large-scale consortia. Genetic variants and CpG sites identified in this study were enriched for histone mark peaks in relevant tissue types and gene promoter regions. Integrating our results with expression quantitative trait loci data, we provide evidence that variation at these regulatory regions is likely to also influence gene expression levels at these loci.
基因对心血管疾病风险的影响在多大程度上由DNA甲基化水平的变化介导,尚未得到系统研究。我们开发了一个分析框架,将基因精细定位和孟德尔随机化与全表观基因组关联研究相结合,以评估甲基化水平与14种心血管疾病性状之间的因果关系。我们确定了10个已知影响近端DNA甲基化的基因位点,在多重检验校正后,这些位点也与心血管性状相关。双变量精细定位提供了证据,表明在ADCY3和ADIPOQ基因座上,对心血管性状产生观察到的影响的单个变体可能是通过DNA甲基化的变化介导的,尽管我们强调我们无法可靠地将因果关系与水平多效性区分开来。因果效应估计值与大规模联盟的结果一致。本研究中鉴定的基因变体和CpG位点在相关组织类型和基因启动子区域的组蛋白标记峰中富集。将我们的结果与表达数量性状位点数据相结合,我们提供了证据表明这些调控区域的变异也可能影响这些基因座的基因表达水平。