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

机译:死亡率的遗传决定因素。 可以从基因组 - 范围协会研究中的结果解释人类死亡率的变化?

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摘要

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.
机译:双语研究估计寿命的可遗传性约为20-30%。基因组 - 范围协会研究(GWAS)揭示了大量的发病素,但到目前为止,没有发现新的多态性与GWAS中的寿命与寿命相关联。我们的目标是确定死亡率的遗传架构是否可以通过与与死亡率相关的常见性状和疾病相关的单一核苷酸多态性(SNP)来解释。通过出版的GWAS的广泛控制,我们创建了与125个疾病或与总体死亡率相关的疾病或风险因素相关的707个常见SNP的遗传分数。我们前瞻性地研究了遗传分数与:(1)死亡; (2)荷兰人和瑞典人口队列(n = 15,039;年龄范围47-99岁)。在6.3岁(最多22.2岁)的中位随访期间,我们观察了4,318名死亡和2,132次入射疾病事件。遗传分数与死亡时间显着相关[危害比(HR)每增加风险等位基因= 1.003,P值= 0.006; HR 4th vs.第1次= 1.103]。遗传分数与主要疾病发生率之间的关联更强(每个增加的风险等级= 1.004,P值= 0.002; HR第4和第1步= 1.160)。在老年人死亡的个体,关联较强。我们的发现与死亡率视为复杂且高度多的多基状,不容易通过与疾病和生理性状相关的常见遗传变异来解释。

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  • 来源
    《Human Genetics》 |2013年第5期|共9页
  • 作者单位

    Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden;

    Department of Epidemiology Erasmus University Medical Centre PO Box 2040 3000 CA Rotterdam;

    Department of Epidemiology Erasmus University Medical Centre PO Box 2040 3000 CA Rotterdam;

    Department of Epidemiology Erasmus University Medical Centre PO Box 2040 3000 CA Rotterdam;

    Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden;

    Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden;

    Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden;

    Department of Epidemiology Erasmus University Medical Centre PO Box 2040 3000 CA Rotterdam;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学遗传学;
  • 关键词

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