DNA甲基化
孟德尔随机化
表观遗传学
表观遗传学
疾病
生物信息学
医学
计算生物学
因果关系(物理学)
内科学
表观基因组
遗传学
生物
生物标志物
基因型
遗传变异
基因
基因表达
物理
量子力学
作者
Kenneth E. Westerman,José M. Ordovás
标识
DOI:10.1097/mco.0000000000000659
摘要
PURPOSE OF REVIEW: DNA methylation is an epigenetic mark that reflects both genetic and environmental influences over the life course and has the potential to be a robust biomarker for cardiovascular disease (CVD) risk. However, standard association studies linking DNA methylation and CVD are susceptible to reverse causation and may not directly translate into useful biomarkers of future disease. Studies of incident CVD represent a crucial tool for improving this evidence base. RECENT FINDINGS: Recent investigations have started to provide links between DNA methylation and incident CVD. Epigenome-wide association studies have suggested individual genetic loci in which differential methylation exists prior to disease onset, while multivariate predictive modeling approaches have made progress towards realizing the potential for DNA methylation as a predictive biomarker of CVD risk. Meanwhile, complementary analysis strategies such as Mendelian randomization have provided clues as to the causality of these epigenomic associations. SUMMARY: Taken together, this wave of studies provides the basis for a better understanding of CVD pathophysiology and the development of more confident biomarkers of CVD risk.
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