Suppr超能文献

遗传因素与死亡率。全基因组关联研究的发现能否解释人类死亡率的差异?

Genetic determinants of mortality. Can findings from genome-wide association studies explain variation in human mortality?

机构信息

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

出版信息

Hum Genet. 2013 May;132(5):553-61. doi: 10.1007/s00439-013-1267-6. Epub 2013 Jan 25.

Abstract

Twin studies have estimated the heritability of longevity to be approximately 20-30 %. Genome-wide association studies (GWAS) have revealed a large number of determinants of morbidity, but so far, no new polymorphisms have been discovered to be associated with longevity per se in GWAS. We aim to determine whether the genetic architecture of mortality can be explained by single nucleotide polymorphisms (SNPs) associated with common traits and diseases related to mortality. By extensive quality control of published GWAS we created a genetic score from 707 common SNPs associated with 125 diseases or risk factors related with overall mortality. We prospectively studied the association of the genetic score with: (1) time-to-death; (2) incidence of the first of nine major diseases (coronary heart disease, stroke, heart failure, diabetes, dementia, lung, breast, colon and prostate cancers) in two population-based cohorts of Dutch and Swedish individuals (N = 15,039; age range 47-99 years). During a median follow-up of 6.3 years (max 22.2 years), we observed 4,318 deaths and 2,132 incident disease events. The genetic score was significantly associated with time-to-death [hazard ratio (HR) per added risk allele = 1.003, P value = 0.006; HR 4th vs. 1st quartile = 1.103]. The association between the genetic score and incidence of major diseases was stronger (HR per added risk allele = 1.004, P value = 0.002; HR 4th vs. 1st quartile = 1.160). Associations were stronger for individuals dying at older ages. Our findings are compatible with the view of mortality as a complex and highly polygenetic trait, not easily explainable by common genetic variants related to diseases and physiological traits.

摘要

双胞胎研究估计,长寿的遗传性约为 20-30%。全基因组关联研究(GWAS)已经揭示了大量与发病率相关的决定因素,但迄今为止,GWAS 尚未发现与长寿本身相关的新多态性。我们旨在确定死亡率的遗传结构是否可以用与死亡率相关的常见特征和疾病相关的单核苷酸多态性(SNP)来解释。通过对已发表的 GWAS 进行广泛的质量控制,我们从与 125 种疾病或与总死亡率相关的 125 种疾病或风险因素相关的 707 个常见 SNP 中创建了一个遗传评分。我们前瞻性地研究了遗传评分与以下方面的关联:(1)死亡时间;(2)荷兰和瑞典两个人群队列中 9 种主要疾病(冠心病、中风、心力衰竭、糖尿病、痴呆、肺癌、乳腺癌、结肠癌和前列腺癌)的首次发病情况(N=15039;年龄范围 47-99 岁)。在中位随访 6.3 年(最长 22.2 年)期间,我们观察到 4318 例死亡和 2132 例疾病发病事件。遗传评分与死亡时间显著相关[每增加一个风险等位基因的风险比(HR)=1.003,P 值=0.006;第 4 四分位与第 1 四分位的 HR=1.103]。遗传评分与主要疾病发病之间的关联更强(每增加一个风险等位基因的 HR=1.004,P 值=0.002;第 4 四分位与第 1 四分位的 HR=1.160)。对于年龄较大的死亡个体,关联更强。我们的发现与将死亡率视为一种复杂且高度多基因特征的观点一致,而不是通过与疾病和生理特征相关的常见遗传变异来轻易解释。

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