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首页> 外文期刊>Journal of human genetics >Ancestry inference and admixture component estimations of Chinese Kazak group based on 165 AIM-SNPs via NGS platform
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Ancestry inference and admixture component estimations of Chinese Kazak group based on 165 AIM-SNPs via NGS platform

机译：基于165个AIM-SNPS的祖先推断和综合组成部分估算，通过NGS平台

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摘要

Predicting the biogeographical ancestries of populations and unknown individuals based on ancestry-informative markers (AIMs) has been widely applied in providing DNA clues to criminal investigations, correcting the factor of population stratification in genome-wide association studies (GWAS), and working as the basis of predicting the externally visible characteristics (EVCs) of individuals. The present study chose Chinese Xinjiang Kazak (XJK) group as research object using a 165 AIM-SNPs panel via next generation sequencing (NGS) technology to reveal its ancestral information and genetic background by referencing the populations' data from 1000 Genomes Phase 3. After the Bonferroni correction, there were no significant deviations at the 165 AIM-SNP loci except two loci with homozygote in the studied XJK group. Ancestry information inference and populations genetic analyses were conducted basing on multiplex statistical methods such as forensic statistical parameter analyses, estimation of the success ratios with cross-validation, population tree, principal component analysis (PCA), and genetic structure analysis. The present results revealed that XJK group had the admixed ancestral components of East Asian and European populations with the ratio of about 62:37.
机译：基于祖先 - 信息标记（AIMS）预测人口和未知个体的生物地图和未知的个人已被广泛应用于向犯罪调查提供DNA线索，纠正基因组关联研究（GWA）中的人口分层因素，并作为预测个体的外部可见特征（EVC）的基础。本研究选择了中国新疆哈萨克（XJK）作为研究对象的研究对象，通过下一代测序（NGS）技术，通过参考从1000个基因组阶段3的人群数据来揭示其祖传信息和遗传背景。之后Bonferroni矫正，除了学习的XJK组中的纯合子的两个基因座，在165 AIM-SNP基因座中没有显着偏差。祖先信息推断和群体遗传分析是基于多重统计方法，例如法医统计参数分析，估计具有交叉验证，人口树，主成分分析（PCA）和遗传结构分析的成功比率。目前的研究结果表明，XJK集团的东亚和欧洲群体的混合祖传组件约为62:37。

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