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Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease

机译:全血中全基因组DNA甲基化QTL的全基因组鉴定突出了心血管疾病的途径

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摘要

Identifying methylation quantitative trait loci (meQTLs) and integrating them with disease-associated variants from genome-wide association studies (GWAS) may illuminate functional mechanisms underlying genetic variant-disease associations. Here, we perform GWAS of >415 thousand CpG methylation sites in whole blood from 4170 individuals and map 4.7 million cis- and 630 thousand trans-meQTL variants targeting >120 thousand CpGs. Independent replication is performed in 1347 participants from two studies. By linking cis-meQTL variants with GWAS results for cardiovascular disease (CVD) traits, we identify 92 putatively causal CpGs for CVD traits by Mendelian randomization analysis. Further integrating gene expression data reveals evidence of cis CpG-transcript pairs causally linked to CVD. In addition, we identify 22 trans-meQTL hotspots each targeting more than 30 CpGs and find that trans-meQTL hotspots appear to act in cis on expression of nearby transcriptional regulatory genes. Our findings provide a powerful meQTL resource and shed light on DNA methylation involvement in human diseases.
机译:识别甲基化定量性状基因座(meQTL)并将其与全基因组关联研究(GWAS)中与疾病相关的变异体整合可能会阐明遗传变异-疾病关联的功能机制。在这里,我们从4170个个体的全血中进行了> 41.5万个CpG甲基化位点的GWAS,并绘制了针对> 12万个CpGs的470万个顺式和63万个反式meQTL变体。来自两项研究的1347名参与者进行了独立复制。通过将顺式-meQTL变异体与GWAS结果相关联的心血管疾病(CVD)特征,我们通过孟德尔随机分析确定了92个CVD特征的推定因果CpG。基因表达数据的进一步整合揭示了顺式CpG-转录本对与CVD因果相关的证据。此外,我们确定了22个trans-meQTL热点,每个热点都针对30多个CpGs,发现trans-meQTL热点似乎在附近转录调控基因的表达上具有顺式作用。我们的发现提供了有力的meQTL资源,并阐明了DNA甲基化与人类疾病的关系。

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