非裔美国人年龄的表观基因组指标

Jennifer A. Smith, Alicia L. Zagel, Yan V. Sun, D. Dolinoy, L. Bielak, P. Peyser, S. Turner, T. Mosley, S. Kardia
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引用次数: 15

摘要

年龄是慢性病的一个公认的危险因素。然而,与慢性疾病发生和发展相关的衰老过程相关的细胞和分子变化尚不清楚。因此,越来越需要识别在衰老过程中发生的细胞和分子变化的新标记。在这项研究中,我们使用来自13,877个基因的26,428个CpG位点的全基因组DNA甲基化来研究来自动脉疾病遗传流行病学网络(GENOA)研究的972名非洲裔美国成年人(平均年龄=66.3岁,范围= 39-95)外周血细胞年龄与表观遗传变异之间的关系。Bonferroni校正α=0.05后,年龄与7601个(28.8%)CpG位点显著相关(p7000个位点,p值范围为10−6至10−43),我们研究了DNA甲基化标记预测年龄的效果。经Bonferroni校正后,我们发现2095个(7.9%)CpG位点是年龄的重要预测因子。在2095个年龄相关的CpG位点中,前5个主要成分占这些CpG位点变异的69.3%,它们解释了26.8%的年龄变异。甲基化标记物与成人年龄之间的关联是如此普遍和强烈,以至于我们假设DNA甲基化模式可能是细胞衰老过程的重要衡量标准。考虑到与年龄相关的表观基因组的高度相关性质(如主成分分析所证明的),整个途径可能作为衰老的结果而受到调节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epigenomic Indicators of Age in African Americans
Age is a well-established risk factor for chronic diseases. However, the cellular and molecular changes associated with aging processes that are related to chronic disease initiation and progression are not well-understood. Thus, there is an increased need to identify new markers of cellular and molecular changes that occur during aging processes. In this study, we use genome-wide DNA methylation from 26,428 CpG sites in 13,877 genes to investigate the relationship between age and epigenetic variation in the peripheral blood cells of 972 African American adults from the Genetic Epidemiology Network of Arteriopathy (GENOA) study (mean age=66.3 years, range=39–95). Age was significantly associated with 7,601 (28.8%) CpG sites after Bonferroni correction for α=0.05 (p<1.89×10−6). Due to the extraordinarily strong associations between age and many of the CpG sites (>7,000 sites with p-values ranging from 10−6 to 10−43), we investigated how well the DNA methylation markers predict age. We found that 2,095 (7.9%) CpG sites were significant predictors of age after Bonferroni correction. The top five principal components of the 2,095 age-associated CpG sites accounted for 69.3% of the variability in these CpG sites, and they explained 26.8% of the variation in age. The associations between methylation markers and adult age are so ubiquitous and strong that we hypothesize that DNA methylation patterns may be an important measure of cellular aging processes. Given the highly correlated nature of the age-associated epigenome (as evidenced by the principal components analysis), whole pathways may be regulated as a consequence of aging.
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