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SNP Panel Analysis of Ancestry Inference in East Asian Populations / 法医学杂志
Journal of Forensic Medicine ; (6): 539-545, 2021.
Artigo em Chinês | WPRIM | ID: wpr-985246
ABSTRACT
Objective To develop an SNP Panel for East Asian population, which has a high individual identification rate and the capability of ancestry analysis. Methods The 55 SNP Panel by Professor KIDD of Yale University and the 128 SNP Panel by Professor SELDIN of Davis School of California University, 170 SNP Panel in total was used as the basis and its test data in the East Asian population was collected. The genetic parameters of SNP loci were calculated and combined with the results of heatmap analysis to screen SNP loci suitable for East Asian population. Some Tibetan and Han samples were tested. The possibility of using the SNP loci in ancestry inference was analyzed by means of STRUCTURE analysis, principal component analysis and heatmap analysis. Results A Panel with 45 SNPs (45 SNP Panel) was screened out, and the average genetic parameters of each SNP were better than 170 SNP Panel, with the same ancestry analysis and inference ability. Conclusion In terms of ancestry inference information, the 45 SNP Panel can completely replace the 170 SNP Panel and achieve the same ancestry analysis and inference ability. In genetic parameters, 45 SNP Panel is better than 170 SNP Panel in the East Asian population, which shows its important potential forensic application value.
Assuntos

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Polimorfismo de Nucleotídeo Único / Análise de Componente Principal / Povo Asiático / Frequência do Gene / Genética Populacional Limite: Humanos Idioma: Chinês Revista: Journal of Forensic Medicine Ano de publicação: 2021 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Polimorfismo de Nucleotídeo Único / Análise de Componente Principal / Povo Asiático / Frequência do Gene / Genética Populacional Limite: Humanos Idioma: Chinês Revista: Journal of Forensic Medicine Ano de publicação: 2021 Tipo de documento: Artigo