title: Optimization and validation of analysis method based on 27-plex SNP panel for ancestry inference.
abstract: Anthropology generally divides the individuals into the East Asian Mongolia race, European Caucasian race and African Nigro race. The 27-plex single nucleotide polymorphism (SNP) panel for ancestry information has been established to differentiate samples from East Asian, European, African and admixture populations of East Asian and European origin by genotyping and ancestry inference. To infer ancestry for unknown individuals, we established an optimized analysis pipeline based on the likelihood ratio, ancestry component and individual ancestry assignment. Four samples from East Asian, European, African and admixture populations of East Asian and European origin were tested using the optimized analysis pipeline. Cross validation within basic referential database and validation of 1 010 test samples were both used to evaluate the inference process. The results showed that accuracy of the method was higher than 99% in East Asia, Europe, Africa and admixture populations. The inference method can characterize the ancestry information of DNA donors, and has important practical application values in the field of human molecular and forensic genetics.
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: Li
authors.initials: L
authors.lastname: Jiang
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: Qi-fan
authors.initials: QF
authors.lastname: Sun
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: Quan
authors.initials: Q
authors.lastname: Ma
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: Wen-ting
authors.initials: WT
authors.lastname: Zhao
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Liu
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhao
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: An-quan
authors.initials: AQ
authors.lastname: Ji
authors.affiliation: 1. Beijing Engineering Research Center of Crime Scene Evidence Examination, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; 2. Key Laboratory of Forensic Genetics, Ministry of Public Security, Beijing 100038, China.
authors.forename: Cai-xia
authors.initials: CX
authors.lastname: Li
mesh_terms: D053803:Forensic Genetics; D005828:Genetics, Population; D006801:Humans; D020641:Polymorphism, Single Nucleotide