title: Using allele sharing distance for detecting human population stratification.
abstract: There is a long history of using allele sharing distance (ASD) and closely related metrics for population stratification analysis. However, the theory for this practical usage has not been reported. In this paper, we describe the theoretical background for using ASD on single nucleotide polymorphism (SNP) genetic data for human population stratification analysis. In showing the proof, we lay the ground work for a general distance-based method for classifying subpopulations using SNPs and ASD. We also show its relation to other closely related distance metrics using HapMap Phase I SNP data.
authors.affiliation: Division of Statistical Genomics, Washington University School of Medicine, St Louis, MO 63108, USA. ray.x.gao@gmail.com
authors.forename: Xiaoyi
authors.initials: X
authors.lastname: Gao
authors.forename: Eden R
authors.initials: ER
authors.lastname: Martin
mesh_terms: D000483:Alleles; D005787:Gene Frequency; D005828:Genetics, Population / Q000379:methods*; D006801:Humans; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide