Using Allele Sharing Distance for Detecting Human Population Stratification

Xiaoyi Gao; Eden R Martin

doi:10.1159/000224638

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Using Allele Sharing Distance for Detecting Human Population Stratification

Journal article

Open access

Peer reviewed

Using Allele Sharing Distance for Detecting Human Population Stratification

Xiaoyi Gao and Eden R Martin

Human heredity, Vol.68(3), pp.182-191

2009-07

DOI: https://doi.org/10.1159/000224638

PMCID: PMC2869072

PMID: 19521100

Abstract

Original Paper

Coancestry coefficient

Single nucleotide polymorphism

Allele sharing distance

Population stratification

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.

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Collaboration types: Domestic collaboration
Citation topics: 1 Clinical & Life Sciences; 1.189 Genome Studies; 1.189.310 Population Genetics
Web Of Science research areas: Genetics & Heredity
ESI research areas: Molecular Biology & Genetics

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Details

Title: Using Allele Sharing Distance for Detecting Human Population Stratification
Creators: Xiaoyi Gao - Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Mo., USA
Eden R Martin - Center for Genetic Epidemiology and Statistical Genetics, Miami Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Fla., USA
Publication Details: Human heredity, Vol.68(3), pp.182-191
Publisher: S. Karger AG; Allschwilerstrasse 10, P.O. Box · Postfach · Case postale, CH–4009, Basel, Switzerland · Schweiz · Suisse, Phone: +41 61 306 11 11, Fax: +41 61 306 12 34, karger@karger.ch
Academic Unit: Miller School of Medicine; John P. Hussman Institute for Human Genomics; UMMG Dept of Human Genetics (Dr. John T. Macdonald Foundation)
Language: English
Resource Type: Journal article
PMID: 19521100
PMCID: PMC2869072
Record Identifier: 991031576031602976