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Fine-scale stratification analysis of Hong Kong Chinese population

机译:香港中国人口精细分层分析

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With development of high-throughput genotyping technologies, many genome-wide association studies on common diseases have been launched in Hong Kong. However, the population structure of Hong Kong population remains enigmatic. In GWAS, population stratification might cause problems of spurious associations. In this study, we report one of the first surveys of autosomal DNA diversity within the Hong Kong Chinese population. Principal component analysis results show that Hong Kong Chinese population is genetically closer to southern than northern Chinese populations. This pattern is consistent with geographic distribution and linguistic affiliation of Chinese population. There is also admixture of northern and southern Chinese genetic ancestries as indicated by stratification in the Hong Kong Chinese population, which is in accordance to known historical immigrations. At the SNP level, ancestry informative SNPs among Chinese populations, principal-component-correlated SNPs and SNPs showing significance in simulated case-control studies were identified. These variations characterize Hong Kong Chinese population which might have been affected by immigration, gene flow or natural selection. Thus, disease association results located on or near these loci are often not replicable in the second phase of GWAS, which may call for stratification adjustment using methods which have been evaluated and being implemented in practice. Our findings provide insights for designing GWAS, filtering out confounding results and correcting stratification in Hong Kong Chinese population.
机译:随着高通量基因分型技术的发展,许多关于常见疾病的基因组基因研究已经在香港推出。然而,香港人口的人口结构仍然是神秘的。在GWAS中,人口分层可能导致虚假协会的问题。在这项研究中,我们在香港中国人口中报告了常染色体DNA多样性的第一次调查之一。主要成分分析结果表明,香港中国人口的遗传越远朝北南方人口。这种模式与中国人口的地理分布和语言联盟一致。如香港中国人口的分层所示,还有北部和南部和南部和南部和南部和南部的遗传血项。在SNP级别,鉴定了祖先的血统信息SNP,鉴定了模拟案例对照研究的显着性的中文群体,主组分相关的SNP和SNP。这些变异表征了香港中国人口,可能受到移民,基因流或自然选择的影响。因此,位于这些基因座上或附近的疾病关联结果通常在GWA的第二阶段通常不可复制,这可以使用已经在实践中进行并实施的方法来调用分层调整。我们的调查结果为设计GWA提供了洞察力,过滤了香港中国人口中的混淆结果和纠正分层。

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