Document Details

Document Type : Article In Journal 
Document Title :
Selection of highly informative SNP markers for population affiliation of major US populations
Selection of highly informative SNP markers for population affiliation of major US populations
 
Document Language : English 
Abstract : Ancestry informative markers (AIMs) can be used to detect and adjust for population stratification and predict the ancestry of the source of an evidence sample. Autosomal single nucleotide polymorphisms (SNPs) are the best candidates for AIMs. It is essential to identify the most informative AIM SNPs across relevant populations. Several informativeness measures for ancestry estimation have been used for AIMs selection: absolute allele frequency differences (δ), F statistics (F ST), and informativeness for assignment measure (In). However, their efficacy has not been compared objectively, particularly for determining affiliations of major US populations. In this study, these three measures were directly compared for AIMs selection among four major US populations, i.e., African American, Caucasian, East Asian, and Hispanic American. The results showed that the F ST panel performed slightly better for population resolution based on principal component analysis (PCA) clustering than did the δ panel and both performed better than the In panel. Therefore, the 23 AIMs selected by the F ST measure were used to characterize the four major American populations. Genotype data of nine sample populations were used to evaluate the efficiency of the 23-AIMs panel. The results indicated that individuals could be correctly assigned to the major population categories. Our AIMs panel could contribute to the candidate pool of AIMs for potential forensic identification purposes. 
ISSN : 1437-1596 
Journal Name : Int J Legal Med 
Volume : 130 
Issue Number : 2 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Monday, May 2, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Xiangpei ZengZeng, Xiangpei Investigator Xiangpei.Zeng@live.unthsc.edu
Ranajit ChakrabortyChakraborty, Ranajit Researcher  
Jonathan L. KingKing, Jonathan L.Researcher  
Bobby LaRueLaRue, Bobby Researcher  
Rodrigo S. Moura-NetoMoura-Neto, Rodrigo S.Researcher  
Bruce BudowleBudowle, Bruce Researcher  

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