Suppr超能文献

全基因组关联研究衰老。

A genome-wide association study of aging.

机构信息

Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands.

出版信息

Neurobiol Aging. 2011 Nov;32(11):2109.e15-28. doi: 10.1016/j.neurobiolaging.2011.05.026. Epub 2011 Jul 22.

Abstract

Human longevity and healthy aging show moderate heritability (20%-50%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 × 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer's disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity.

摘要

人类的长寿和健康衰老表现出中等程度的遗传性(20%-50%)。我们对来自基因组流行病学协作研究中心的 9 项研究的全基因组关联研究进行了荟萃分析,针对两个结果:(1)全因死亡率,以及(2)无重大疾病或死亡的生存情况。没有单个核苷酸多态性(SNP)是这两个结果的全基因组显著预测因子(p<5×10(-8))。我们发现了 14 个独立的 SNP 可预测死亡风险,以及 8 个 SNP 可预测无事件生存(p<10(-5))。这些 SNP 位于或靠近在大脑中高度表达的基因(HECW2、HIP1、BIN2、GRIA1)、参与神经发育和功能的基因(KCNQ4、LMO4、GRIA1、NETO1)和自噬(ATG4C),以及与各种疾病(包括癌症和阿尔茨海默病)风险相关的基因。除了这些特征之间存在相当大的重叠外,通路和网络分析也证实了这些发现。这些发现表明,涉及神经过程的基因变异可能是调节无重大疾病衰老和实现长寿的重要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/708d/3193030/e9096a01bce4/nihms322935f1a.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验