Chair for Systems Toxicology, University of Konstanz, Konstanz, Germany.
Center for Alternatives to Animal Testing, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
EMBO Mol Med. 2023 Sep 11;15(9):e18208. doi: 10.15252/emmm.202318208. Epub 2023 Aug 4.
Human health is determined both by genetics (G) and environment (E). This is clearly illustrated in groups of individuals who are exposed to the same environmental factor showing differential responses. A quantitative measure of the gene-environment interactions (GxE) effects has not been developed and in some instances, a clear consensus on the concept has not even been reached; for example, whether cancer is predominantly emerging from "bad luck" or "bad lifestyle" is still debated. In this article, we provide a panel of examples of GxE interaction as drivers of pathogenesis. We highlight how epigenetic regulations can represent a common connecting aspect of the molecular bases. Our argument converges on the concept that the GxE is recorded in the cellular epigenome, which might represent the key to deconvolute these multidimensional intricated layers of regulation. Developing a key to decode this epigenetic information would provide quantitative measures of disease risk. Analogously to the epigenetic clock introduced to estimate biological age, we provocatively propose the theoretical concept of an "epigenetic score-meter" to estimate disease risk.
人类健康既由遗传(G)因素决定,也受环境(E)因素影响。这在暴露于相同环境因素的个体群体中表现得非常明显,他们会呈现出不同的反应。尚未开发出一种用于衡量基因-环境相互作用(GxE)效应的定量方法,在某些情况下,甚至尚未就这一概念达成明确共识;例如,癌症主要是由“运气不佳”还是“不良生活方式”引起的,仍存在争议。在本文中,我们提供了一组 GxE 相互作用作为发病机制驱动因素的示例。我们强调了表观遗传调控如何能够代表分子基础的共同连接方面。我们的观点集中在这样一个概念上,即 GxE 被记录在细胞表观基因组中,这可能代表了解开这些多维错综复杂的调控层的关键。开发解码这种表观遗传信息的关键方法将提供疾病风险的定量测量。类似于引入估计生物年龄的表观遗传时钟,我们大胆提出了理论概念“表观遗传评分计”来估计疾病风险。