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PMID: 19521100 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Using allele sharing distance for detecting human population stratification.

Human heredity ·Vol. 68 ·No. 3 ·2009-00-00 ·Pages 182-91

Gao X, Martin ER

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.

MeSH Terms
Alleles Gene Frequency Genetics, Population/methods Humans Models, Genetic Polymorphism, Single Nucleotide
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Gao Xiaoyi
Division of Statistical Genomics, Washington University School of Medicine, St Louis, MO 63108, USA. [email protected]
Martin Eden R
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Article Info
Journal
Human heredity
Abbr.
Hum Hered
ISSN
1423-0062
DOI
10.1159/000224638
Email
[email protected]
Published
2009-00-00
Epub
2009-00-11
Pages
182-91
Language
English
Region
Switzerland
NLM ID
0200525
PMCID
PMC2869072
Subset
IM
Grants
NIA NIH HHS · U01AG02374605 · United States
NINDS NIH HHS · P50 NS039764 · United States
NINDS NIH HHS · NS39764 · United States
NHLBI NIH HHS · R01HL08770002S1 · United States
NIGMS NIH HHS · GM45344 · United States
NIGMS NIH HHS · P01 GM045344 · United States
External Links
PubMed source DOI: 10.1159/000224638 PMC Full Text View journal details
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