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首页> 外文期刊>European journal of human genetics: EJHG >A panel of ancestry informative markers to estimate and correct potential effects of population stratification in Han Chinese
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A panel of ancestry informative markers to estimate and correct potential effects of population stratification in Han Chinese

机译:一组祖先信息标记,用于估计和纠正汉族人口分层的潜在影响

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Population stratification acts as a confounding factor in genetic association studies and may lead to false-positive or false-negative results. Previous studies have analyzed the genetic substructures in Han Chinese population, the largest ethnic group in the world comprising ~20% of the global human population. In this study, we examined 5540 Han Chinese individuals with about 1 million single-nucleotide polymorphisms (SNPs) and screened a panel of ancestry informative markers (AIMs) to facilitate the discerning and controlling of population structure in future association studies on Han Chinese. Based on genome-wide data, we first confirmed our previous observation of the north-south differentiation in Han Chinese population. Second, we developed a panel of 150 validated SNP AIMs to determine the northern or southern origin of each Han Chinese individual. We further evaluated the performance of our AIMs panel in association studies in simulation analysis. Our results showed that this AIMs panel had sufficient power to discern and control population stratification in Han Chinese, which could significantly reduce false-positive rates in both genome-wide association studies (GWAS) and candidate gene association studies (CGAS). We suggest this AIMs panel be genotyped and used to control and correct population stratification in the study design or data analysis of future association studies, especially in CGAS which is the most popular approach to validate previous reports on genetic associations of diseases in post-GWAS era.
机译:群体分层是遗传关联研究中的一个混杂因素,并可能导致假阳性或假阴性结果。先前的研究已经分析了汉族人口的遗传亚结构,汉族是世界上最大的族裔,占全球人口的约20%。在这项研究中,我们检查了5540个汉族个体,这些个体约有100万个单核苷酸多态性(SNP),并筛选了一组祖先信息标记(AIM),以促进在未来对汉族的关联研究中辨别和控制人口结构。基于全基因组数据,我们首先证实了我们先前对汉族人群南北分化的观察。其次,我们建立了一个由150个经过验证的SNP AIM组成的小组,以确定每个汉族个人的北方或南方血统。我们在仿真分析的关联研究中进一步评估了AIMs小组的绩效。我们的结果表明,该AIMs小组具有足够的能力来识别和控制汉族人群的分层,这可以显着降低全基因组关联研究(GWAS)和候选基因关联研究(CGAS)中的假阳性率。我们建议将此AIMs面板进行基因分型,并用于控制和纠正未来关联研究的研究设计或数据分析中的人群分层,尤其是在CGAS中,这是验证GWAS后时代以前有关疾病遗传关联的最流行方法。

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