环境流行病学中多种表观基因组媒介的分析方法。

IF 7.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Current Environmental Health Reports Pub Date : 2024-06-01 Epub Date: 2024-02-22 DOI:10.1007/s40572-024-00436-9
Arce Domingo-Relloso, Maria Tellez-Plaza, Linda Valeri
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引用次数: 0

摘要

综述的目的:表观遗传变化受环境因素的影响很大,进而被认为会影响慢性疾病。能够量化表观基因组过程在多大程度上是环境暴露与疾病之间关联的中介,是流行病学研究的兴趣所在。在这篇综述中,我们总结了应用于表观基因组数据的中介分析方法:omics数据的超高维度和高相关性阻碍了中介效应的精确量化。目前已提出了几种方法来处理高维环境下的中介效应,包括将降维技术纳入中介算法的方法。虽然前几年在方法学方面取得了重要进展,但一些关键挑战,如敏感性分析的开发、处理介导因子与介导因子之间的相互作用、将环境混合物作为暴露因子或整合不同的表观基因组介导分析方法,应成为未来表观基因组介导分析方法发展的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for the Analysis of Multiple Epigenomic Mediators in Environmental Epidemiology.

Purpose of review: Epigenetic changes can be highly influenced by environmental factors and have in turn been proposed to influence chronic disease. Being able to quantify to which extent epigenomic processes are mediators of the association between environmental exposures and diseases is of interest for epidemiologic research. In this review, we summarize the proposed mediation analysis methods with applications to epigenomic data.

Recent findings: The ultra-high dimensionality and high correlations that characterize omics data have hindered the precise quantification of mediated effects. Several methods have been proposed to deal with mediation in high-dimensional settings, including methods that incorporate dimensionality reduction techniques to the mediation algorithm. Although important methodological advances have been conducted in the previous years, key challenges such as the development of sensitivity analyses, dealing with mediator-mediator interactions, including environmental mixtures as exposures, or the integration of different omic data should be the focus of future methodological developments for epigenomic mediation analysis.

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来源期刊
CiteScore
13.60
自引率
1.30%
发文量
47
期刊介绍: Current Environmental Health Reports provides up-to-date expert reviews in environmental health. The goal is to evaluate and synthesize original research in all disciplines relevant for environmental health sciences, including basic research, clinical research, epidemiology, and environmental policy.
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