Center for Applied Mathematics, Tianjin University, Tianjin, China.
Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
Methods Mol Biol. 2022;2432:123-135. doi: 10.1007/978-1-0716-1994-0_10.
DNA methylation alterations have been widely studied as mediators of environmentally induced disease risks. With new advances in technique, epigenome-wide DNA methylation data (EWAS) have become the new standard for epigenetic studies in human populations. However, to date most epigenetic studies of mediation effects only involve selected (gene-specific) candidate methylation markers. There is an urgent need for appropriate analytical methods for EWAS mediation analysis. In this chapter, we provide an overview of recent advances on high-dimensional mediation analysis, with application to two DNA methylation data.
DNA 甲基化改变已被广泛研究为环境诱导疾病风险的中介物。随着技术的新进展，全基因组 DNA 甲基化数据 (EWAS) 已成为人类群体中表观遗传学研究的新标准。然而，迄今为止，大多数关于中介效应的表观遗传学研究仅涉及选定的（基因特异性）候选甲基化标志物。EWAS 中介分析需要适当的分析方法，这是一个紧迫的需求。在本章中，我们提供了高维中介分析的最新进展概述，并将其应用于两个 DNA 甲基化数据集。
