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The ubiquity of pleiotropy in human disease

机译:人类疾病中肺炎的泛滥

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摘要

Pleiotropy has long been thought to be a common phenomenon in the human genome; however, until recently appropriate data was unavailable to test this hypothesis. Prior studies focused on assessing the prevalence of pleiotropy in only small subsets of phenotypes (= 53 phenotypes), without a truly comprehensive assessment of pleiotropy in the human genome. In this study, we determined the prevalence of pleiotropy, using the entire GWAS catalog (1094 disease phenotypes, 14,459 genes), as well as investigate the relationship between the degree of pleiotropy and the average effect size for each associating gene. The number of associating phenotypes per gene ranged from 1 to 53, with 44% of genes reported in the GWAS catalog associating with more than one phenotype. The proportion of genes shown to be pleiotropic has continued to increase as more studies are added to the catalog. We also found the degree of pleiotropy scales positively with a gene's average effect size (r = 0.04, p value = 0.0003) and negatively with the variance of effect sizes in genes with a given number of associating phenotypes (r = - 0.590, p value = 0.0019). Based on this and prior work, it is becoming evident that pleiotropy is a common, if not ubiquitous, phenomenon. These results have implications in understanding disease etiologies, potentially common biology underlying even disparate diseases, and in elucidating the genotype-phenotype map.
机译:Pleiotropy一直被认为是人类基因组中的常见现象;但是,直到最近适当的数据无法测试这个假设。在目前的研究中,专注于评估Pleiotropy的患病率,仅在小群体(& = 53种表型)中,没有真正综合评估人类基因组中的肺炎。在这项研究中,我们确定了使用整个GWAS目录(1094个疾病表型,14,459个基因)的肺炎的患病率,以及调查胸膜炎程度与每个关联基因的平均效果大小之间的关系。每种基因的关联表型的数量范围为1至53,其中44%的基因在GWAS目录中涉及多种表型。随着在目录中添加更多的研究,所示型抗嗜血磷酸的基因的比例继续增加。我们还发现胸膜术程度呈阳性,基因的平均效应大小(r = 0.04,p值= 0.0003),并且对具有给定数量的关联表型(R = - 0.590,P值的基因中的效果大小的变化负负面= 0.0019)。基于这一和事先的工作,普遍存在的是普遍存在的,如果不是普遍存在的现象,它变得明显。这些结果对了解疾病病因,潜在的常见生物学甚至不同疾病的影响,以及阐明基因型 - 表型图。

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  • 来源
    《Human Genetics》 |2018年第1期|共6页
  • 作者单位

    Dartmouth Coll Geisel Sch Med Dept Genet Hanover NH 03755 USA;

    Case Western Reserve Univ Inst Computat Biol Dept Populat 10900 Euclid Ave Cleveland OH 44106;

    Case Western Reserve Univ Inst Computat Biol Dept Populat 10900 Euclid Ave Cleveland OH 44106;

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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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