刑事技术2023，Vol.48Issue(6)：593-601,9.DOI:10.16467/j.1008-3650.2023.0032
中国内蒙古地区蒙古族人群的遗传推断模型构建
Genetic Inference Model Research of Mongolian Population in Inner Mongolia of China
摘要
Abstract
Single nucleotide polymorphism(SNP)profiling is a commonly used genetic tool for individual identification and ancestry inference in forensic genetics.This study was constructed based on the whole genome SNP data of 163 Mongolian individuals from Inner Mongolia region of China and 777 individuals from 13 other populations in China.PLINK and ADMIXTURE software was used to analyze the genetic structure of these populations.Plink software was used for Genome Wide Association Studies to screen Mongolian specific SNPs.The DAA software was used to calculate the population matching probability,likelihood ratio and ancestral components of the reference population and 569 individuals from 7 test populations to evaluate the accuracy of the inference model.The results of population genetic structure analysis showed that the Mongolian population is mainly composed of northern East Asian component,and is closely clustered with other Altaic populations.644 Mongolian specific AISNP loci were screened.Among the reference populations,the inference accuracy of the Mongolian population was 98.16％,and the other populations were 100％.Among the test populations,the accuracy of the Mongolian population was 86.67％,and the other populations were 96.15％to 100％.This study indicates that there are genetic structure differences between the Mongolian population and other East Asian subpopulations.The 644 selected AISNP loci can be used for genetic inference between the Mongolian population and other East Asian subpopulations,which is of great significance for improved ancestry inference within East Asia.关键词
法医遗传学/GWAS分析/蒙古族/族群推断/单核苷酸多态性(SNP)Key words
forensic genetics/GWAS/mongolian/genetic inference/single nucleotide polymorphism(SNP)分类
政治法律引用本文复制引用
胡莹琳,朱信,钟巧娥,徐颖,江丽,李彩霞..中国内蒙古地区蒙古族人群的遗传推断模型构建[J].刑事技术,2023,48(6):593-601,9.基金项目
国家重点研发计划(2022YFC3341004) （2022YFC3341004）
国家自然科学基金项目(82171870) （82171870）
中央级公益性科研院所基本科研业务费专项资金项目(2022JB020) （2022JB020）
