Fine-scale stratification analysis of Hong Kong Chinese population

被引:0
|
作者
Qiu, Yu-Qing [1 ]
Leung, Ting-Fan [2 ]
Ma, Ronald C. W. [3 ]
Tomlinson, Brian [3 ]
Chan, Juliana C. N. [3 ]
Tang, Nelson L. S. [4 ]
Baum, Larry [5 ]
机构
[1] Chinese Univ Hong Kong, Dept Chem Pathol, Hong Kong, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Dept Paediat, Hong Kong, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Dept Med & Therapeut, Hong Kong, Hong Kong, Peoples R China
[4] Chinese Univ Hong Kong, KIZ CUHK Joint Lab Bioresources & Mol Res Common, Dept Chem Pathol, Hong Kong, Hong Kong, Peoples R China
[5] Chinese Univ Hong Kong, Sch Pharm, Hong Kong, Hong Kong, Peoples R China
关键词
population stratification; Hong Kong Chinese; GWAS; HAN CHINESE; ASSOCIATION;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:802 / 803
页数:2
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