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Xie T, Shen C, Liu C, et al. Ancestry inference and admixture component estimations of Chinese Kazak group based on 165 AIM-SNPs via NGS platform. J Hum Genet. 2020;65(5):461-468doi: 10.1038/s10038-020-0725-y.
Xie, T., Shen, C., Liu, C., Fang, Y., Guo, Y., Lan, Q., Wang, L., Ge, J., Zhou, Y., Wen, S., Yang, Q., & Zhu, B. (2020). Ancestry inference and admixture component estimations of Chinese Kazak group based on 165 AIM-SNPs via NGS platform. Journal of human genetics, 65(5), 461-468. https://doi.org/10.1038/s10038-020-0725-y
Xie, Tong, et al. "Ancestry inference and admixture component estimations of Chinese Kazak group based on 165 AIM-SNPs via NGS platform." Journal of human genetics vol. 65,5 (2020): 461-468. doi: https://doi.org/10.1038/s10038-020-0725-y
Xie T, Shen C, Liu C, Fang Y, Guo Y, Lan Q, Wang L, Ge J, Zhou Y, Wen S, Yang Q, Zhu B. Ancestry inference and admixture component estimations of Chinese Kazak group based on 165 AIM-SNPs via NGS platform. J Hum Genet. 2020 May;65(5):461-468. doi: 10.1038/s10038-020-0725-y. Epub 2020 Feb 21. PMID: 32081902.
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J Hum Genet. 2020 May;65(5):461-468. doi: 10.1038/s10038-020-0725-y. Epub 2020 Feb 21.

Ancestry inference and admixture component estimations of Chinese Kazak group based on 165 AIM-SNPs via NGS platform.

Journal of human genetics

Tong Xie, Chunmei Shen, Chao Liu, Yating Fang, Yuxin Guo, Qiong Lan, Lingxiang Wang, Jianye Ge, Yongsong Zhou, Shaoqing Wen, Qing Yang, Bofeng Zhu

Affiliations

  1. Multi-Omics Innovative Research Center of Forensic Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, PR China.
  2. Institute of Brain and Behavioral Sciences, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, PR China.
  3. Guangzhou Forensic Science Institute, Guangdong Province Key Laboratory of Forensic Genetics, Guangzhou, Guangdong, PR China.
  4. Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, PR China.
  5. College of Medicine & Forensics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, PR China.
  6. MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, PR China.
  7. Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.
  8. Institute of Archaeological Science, Fudan University, Shanghai, PR China.
  9. Thermo Fisher Scientific, Waltham, MN, USA.
  10. Multi-Omics Innovative Research Center of Forensic Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, PR China. [email protected].
  11. Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, PR China. [email protected].

PMID: 32081902 DOI: 10.1038/s10038-020-0725-y

Abstract

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.

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