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基于全基因组关联数据集区分泰国人群的祖先信息标记。

Ancestry informative markers for distinguishing between Thai populations based on genome-wide association datasets.

作者信息

Vongpaisarnsin Kornkiat, Listman Jennifer Beth, Malison Robert T, Gelernter Joel

机构信息

Department of Forensic Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.

出版信息

Leg Med (Tokyo). 2015 Jul;17(4):245-50. doi: 10.1016/j.legalmed.2015.02.004. Epub 2015 Feb 25.

Abstract

The main purpose of this work was to identify a set of AIMs that stratify the genetic structure and diversity of the Thai population from a high-throughput autosomal genome-wide association study. In this study, more than one million SNPs from the international HapMap database and the Thai depression genome-wide association study have been examined to identify ancestry informative markers (AIMs) that distinguish between Thai populations. An efficient strategy is proposed to identify and characterize such SNPs and to test high-resolution SNP data from international HapMap populations. The best AIMs are identified to stratify the population and to infer genetic ancestry structure. A total of 124 AIMs were clearly clustered geographically across the continent, whereas only 89 AIMs stratified the Thai population from East Asian populations. Finally, a set of 273 AIMs was able to distinguish northern from southern Thai subpopulations. These markers will be of particular value in identifying the ethnic origins in regions where matching by self-reports is unavailable or unreliable, which usually occurs in real forensic cases.

摘要

这项工作的主要目的是从高通量常染色体全基因组关联研究中确定一组能够区分泰国人群遗传结构和多样性的祖先信息标记(AIMs)。在本研究中,我们检测了国际HapMap数据库和泰国抑郁症全基因组关联研究中的一百多万个单核苷酸多态性(SNPs),以确定区分泰国人群的祖先信息标记(AIMs)。我们提出了一种有效的策略来识别和表征此类SNPs,并对来自国际HapMap人群的高分辨率SNP数据进行测试。确定了最佳的AIMs以区分人群并推断遗传祖先结构。共有124个AIMs在整个大陆上按地理位置清晰聚类,而只有89个AIMs能将泰国人群与东亚人群区分开来。最后,一组273个AIMs能够区分泰国北部和南部的亚人群。这些标记在无法通过自我报告进行匹配或自我报告不可靠的地区(这在实际法医案件中经常出现)识别种族起源方面将具有特别的价值。

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