Deconvoluting gene and environment interactions to develop an "epigenetic score meter" of disease.
Deconvoluting gene and environment interactions to develop an "epigenetic score meter" of disease.
复制标题
DOI：
10.15252/emmm.202318208
复制
发表时间：
2023-09-11
影响因子：
11.1
通讯作者：
Amelio, Ivano
中科院分区：
文献类型：
--
作者：
Butera, Alessio;Smirnova, Lena;Ferrando-May, Elisa;Hartung, Thomas;Brunner, Thomas;Leist, Marcel;Amelio, Ivano
人类健康由遗传(G)和环境(E)共同决定。这一点在暴露于相同环境因素、表现出不同反应的一组个人身上得到了清楚的说明。目前还没有开发出基因-环境相互作用(GxE)效应的量化衡量标准，在某些情况下，甚至还没有就这一概念达成明确的共识；例如，癌症主要是源于“坏运气”还是“不良生活方式”，目前仍有争议。在这篇文章中，我们提供了一组GxE相互作用作为致病驱动因素的例子。我们强调表观遗传调控如何代表分子基础的一个共同的连接方面。我们的论点集中在这样一个概念上，即GxE记录在细胞表观基因组中，这可能代表着解开这些多维错综复杂的调控层的关键。开发一种破译这种表观遗传信息的密钥将提供疾病风险的量化衡量标准。类似于引入表观遗传时钟来估计生物年龄，我们可以挑衅性地提出用来估计疾病风险的“表观遗传计分器”的理论概念。在这篇评论中，I.Amelio和他的同事们讨论了与健康和疾病有关的基因和环境之间的相互作用，并提出了一个称为“表观遗传计分器”的理论概念，作为疾病风险评估的一种手段。
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. In this commentary, I. Amelio and colleagues discuss the interplay between genes and the environment in relation to health and disease and propose a theoretical concept called the “epigenetic score meter” as a means for disease risk assessment.
登录
查看更多内容
DOI：
10.1073/pnas.0500398102
发表时间：
2005-07-26
影响因子：
11.1
作者：
Fraga, MF;Ballestar, E;Esteller, M
通讯作者：
Esteller, M
影响因子：
64.5
作者：
Yang, Jae-Hyun;Hayano, Motoshi;Sinclair, David A.
通讯作者：
Sinclair, David A.
影响因子：
64.8
作者：
Garaycoechea JI;Crossan GP;Langevin F;Mulderrig L;Louzada S;Yang F;Guilbaud G;Park N;Roerink S;Nik-Zainal S;Stratton MR;Patel KJ
通讯作者：
Patel KJ
DOI：
10.1038/nrc3459
发表时间：
2013-03
期刊：
Nature reviews. Cancer
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1073/pnas.2016710117
发表时间：
2020-09-22
影响因子：
11.1
作者：
Boyce, W. Thomas;Sokolowski, Marla B.;Robinson, Gene E.
通讯作者：
Robinson, Gene E.