Bell Christopher G, Xia Yudong, Yuan Wei, Gao Fei, Ward Kirsten, Roos Leonie, Mangino Massimo, Hysi Pirro G, Bell Jordana, Wang Jun, Spector Timothy D
Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Genome Biol. 2016 Sep 23;17(1):193. doi: 10.1186/s13059-016-1051-8.
Advancing age progressively impacts on risk and severity of chronic disease. It also modifies the epigenome, with changes in DNA methylation, due to both random drift and variation within specific functional loci.
In a discovery set of 2238 peripheral-blood genome-wide DNA methylomes aged 19-82 years, we identify 71 age-associated differentially methylated regions within the linkage disequilibrium blocks of the single nucleotide polymorphisms from the NIH genome-wide association study catalogue. This included 52 novel regions, 29 within loci not covered by 450 k or 27 k Illumina array, and with enrichment for DNase-I Hypersensitivity sites across the full range of tissues. These age-associated differentially methylated regions also show marked enrichment for enhancers and poised promoters across multiple cell types. In a replication set of 2084 DNA methylomes, 95.7 % of the age-associated differentially methylated regions showed the same direction of ageing effect, with 80.3 % and 53.5 % replicated to p < 0.05 and p < 1.85 × 10, respectively.
By analysing the functionally enriched disease and trait-associated regions of the human genome, we identify novel epigenetic ageing changes, which could be useful biomarkers or provide mechanistic insights into age-related common diseases.
年龄增长会逐渐影响慢性病的风险和严重程度。它还会因特定功能基因座内的随机漂移和变异而改变表观基因组,导致DNA甲基化发生变化。
在一组涵盖19至82岁人群的2238份外周血全基因组DNA甲基化图谱中,我们在来自美国国立卫生研究院全基因组关联研究目录的单核苷酸多态性的连锁不平衡区域内,识别出71个与年龄相关的差异甲基化区域。其中包括52个新区域,29个位于Illumina 450k或27k芯片未覆盖的基因座内,并且在所有组织中都富含DNase-I超敏位点。这些与年龄相关的差异甲基化区域在多种细胞类型中也显示出增强子和 poised 启动子的显著富集。在一组包含2084份DNA甲基化图谱的复制样本中,95.7%的与年龄相关的差异甲基化区域显示出相同的衰老效应方向,分别有80.3%和53.5%的区域复制到p < 0.05和p < 1.85×10。
通过分析人类基因组中功能富集的疾病和性状相关区域,我们识别出了新的表观遗传衰老变化,这些变化可能是有用的生物标志物,或者为与年龄相关的常见疾病提供机制性见解。