Suppr超能文献

表观遗传背景的改变影响调控变异和疾病风险。

Shifting epigenetic contexts influence regulatory variation and disease risk.

机构信息

Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.

Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

出版信息

Aging (Albany NY). 2021 Jun 16;13(12):15699-15749. doi: 10.18632/aging.203194.

Abstract

Epigenetic shifts are a hallmark of aging that impact transcriptional networks at regulatory level. These shifts may modify the effects of genetic regulatory variants during aging and contribute to disease pathomechanism. However, these shifts occur on the backdrop of epigenetic changes experienced throughout an individual's development into adulthood; thus, the phenotypic, and ultimately fitness, effects of regulatory variants subject to developmental- versus aging-related epigenetic shifts may differ considerably. Natural selection therefore may act differently on variants depending on their changing epigenetic context, which we propose as a novel lens through which to consider regulatory sequence evolution and phenotypic effects. Here, we define genomic regions subjected to altered chromatin accessibility as tissues transition from their fetal to adult forms, and subsequently from early to late adulthood. Based on these epigenomic datasets, we examine patterns of evolutionary constraint and potential functional impacts of sequence variation (e.g., genetic disease risk associations). We find that while the signals observed with developmental epigenetic changes are consistent with stronger fitness consequences (i.e., negative selection pressures), they tend to have weaker effects on genetic risk associations for aging-related diseases. Conversely, we see stronger effects of variants with increased local accessibility in adult tissues, strongest in young adult when compared to old. We propose a model for how epigenetic status of a region may influence the effects of evolutionary relevant sequence variation, and suggest that such a perspective on gene regulatory networks may elucidate our understanding of aging biology.

摘要

表观遗传变化是衰老的一个标志,它会影响调节水平的转录网络。这些变化可能会在衰老过程中改变遗传调节变体的作用,并导致疾病发病机制。然而,这些变化是在个体从发育到成年过程中经历的表观遗传变化的背景下发生的;因此,受发育相关和衰老相关表观遗传变化影响的调节变体的表型,以及最终的适应度效应可能会有很大的不同。因此,自然选择可能会根据变体的变化的表观遗传背景而对其产生不同的作用,我们提出这是一个新的视角,可用于考虑调节序列的进化和表型效应。在这里,我们定义了在组织从胎儿形式到成人形式以及随后从早期到晚期成人形式转变过程中,受改变染色质可及性影响的基因组区域。基于这些表观基因组数据集,我们检查了进化约束的模式和序列变异的潜在功能影响(例如,遗传疾病风险关联)。我们发现,虽然发育性表观遗传变化所观察到的信号与更强的适应度后果(即负选择压力)一致,但它们对与衰老相关疾病的遗传风险关联的影响往往较弱。相反,我们在成年组织中观察到局部可及性增加的变体的影响更强,与老年相比,在年轻成人中最强。我们提出了一个关于区域表观遗传状态如何影响进化相关序列变异的影响的模型,并建议这种对基因调控网络的观点可以阐明我们对衰老生物学的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6abe/8266365/9f88e3308e24/aging-13-203194-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验