title: A Simple Algorithm for Population Classification.
abstract: A single-nucleotide polymorphism (SNP) is a variation in the DNA sequence that occurs when a single nucleotide in the genome differs across members of the same species. Variations in the DNA sequences of humans are associated with human diseases. This makes SNPs as a key to open up the door of personalized medicine. SNP(s) can also be used for human identification and forensic applications. Compared to short tandem repeat (STR) loci, SNPs have much lower statistical testing power for individual recognition due to the fact that there are only 3 possible genotypes for each SNP marker, but it may provide sufficient information to identify the population to which a certain samples may belong. In this report, using eight SNP markers for 641 samples, we performed a standard statistical classification procedure and found that 86% of the samples could be classified accurately under a two-population model. This study suggests the potential use of SNP(s) in population classification with a small number (n ≤ 8) of genetic markers for forensic screening, biodiversity and disaster victim controlling.
authors.affiliation: Translational Medicine Research Center (TMRC), School of Pharmaceutical Science, Xiamen University, Xiamen P.R. China.|Key Laboratory for Cancer T-Cell Theranostics and Clinical Translation (CTCTCT), Xiamen P.R. China.
authors.forename: Peng
authors.initials: P
authors.lastname: Hu
authors.affiliation: Department of Risk Management and Insurance, National Chengchi University, Taiwan.
authors.forename: Ming-Hua
authors.initials: MH
authors.lastname: Hsieh
authors.affiliation: Translational Medicine Research Center (TMRC), School of Pharmaceutical Science, Xiamen University, Xiamen P.R. China.|Key Laboratory for Cancer T-Cell Theranostics and Clinical Translation (CTCTCT), Xiamen P.R. China.
authors.forename: Ming-Jie
authors.initials: MJ
authors.lastname: Lei
authors.affiliation: Department of Endocrine and Metabolic Diseases, Rui-jin Hospital, Shanghai Jiao-tong University School of Medicine, Shanghai 200025, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Cui
authors.affiliation: Department of Biology and Chemistry, City University of Hong-Kong, Hong Kong.
authors.forename: Sung-Kay
authors.initials: SK
authors.lastname: Chiu
authors.affiliation: Translational Medicine Research Center (TMRC), School of Pharmaceutical Science, Xiamen University, Xiamen P.R. China.|Key Laboratory for Cancer T-Cell Theranostics and Clinical Translation (CTCTCT), Xiamen P.R. China.
authors.forename: Chi-Meng
authors.initials: CM
authors.lastname: Tzeng
mesh_terms: D000465:Algorithms; D044822:Biodiversity; D044707:Forensic Sciences / Q000379:methods*; D005787:Gene Frequency; D005819:Genetic Markers; D005828:Genetics, Population / Q000379:methods*; D005838:Genotype; D060005:Genotyping Techniques; D006801:Humans; D018895:Microsatellite Repeats; D015233:Models, Statistical; D020641:Polymorphism, Single Nucleotide
chemical_list: D005819:Genetic Markers