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Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols

机译:艾滋病临床试验组方案中与人类遗传变异有关的预处理实验室参数的全现象关联研究

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Background.?Phenome-Wide Association Studies (PheWAS) identify genetic associations across multiple phenotypes. Clinical trials offer opportunities for PheWAS to identify pharmacogenomic associations. We describe the first PheWAS to use genome-wide genotypic data and to utilize human immunodeficiency virus (HIV) clinical trials data. As proof-of-concept, we focused on baseline laboratory phenotypes from antiretroviral therapy-naive individuals. Methods.?Data from 4 AIDS Clinical Trials Group (ACTG) studies were split into 2 datasets: Dataset I (1181 individuals from protocol A5202) and Dataset II (1366 from protocols A5095, ACTG 384, and A5142). Final analyses involved 2547 individuals and 5 954 294 imputed polymorphisms. We calculated comprehensive associations between these polymorphisms and 27 baseline laboratory phenotypes. Results.?A total of 10 584 (0.17%) polymorphisms had associations with P .01 in both datasets and with the same direction of association. Twenty polymorphisms replicated associations with identical or related phenotypes reported in the Catalog of Published Genome-Wide Association Studies, including several not previously reported in HIV-positive cohorts. We also identified several possibly novel associations. Conclusions.?These analyses define PheWAS properties and principles with baseline laboratory data from HIV clinical trials. This approach may be useful for evaluating on-treatment HIV clinical trials data for associations with various clinical phenotypes.
机译:背景:广泛的关联研究(PheWAS)可以识别多种表型之间的遗传关联。临床试验为PheWAS提供了识别药物基因组学关联的机会。我们描述了第一个使用全基因组基因型数据并利用人类免疫缺陷病毒(HIV)临床试验数据的PheWAS。作为概念验证,我们重点研究了来自未接受过抗逆转录病毒治疗的个体的基线实验室表型。方法:将来自4个AIDS临床试验组(ACTG)研究的数据分为2个数据集:数据集I(来自协议A5202的1181个人)和数据集II(来自协议A5095,ACTG 384和A5142的1366)。最终分析涉及2547个个体和5954294个估算的多态性。我们计算了这些多态性与27种基线实验室表型之间的全面关联。结果:在两个数据集中,共有10 584(0.17%)个多态性与P <.01关联,并且具有相同的关联方向。二十种多态性复制了已发表的全基因组关联研究目录中报道的具有相同或相关表型的关联,包括先前未在HIV阳性人群中报道的几种。我们还确定了几种可能新颖的关联。结论:这些分析利用HIV临床试验的基准实验室数据定义了PheWAS的特性和原理。这种方法对于评估治疗中的HIV临床试验数据是否与各种临床表型相关可能有用。

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