Population Structure and Eigenanalysis

Current methods for inferring population structure from genetic data do not provide formal significance tests for population differentiation. We discuss an approach to studying population structure (principal components analysis) that was first applied to genetic data by Cavalli-Sforza and colleague...

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Bibliographic Details
Published in:	PLoS genetics Vol. 2; no. 12; p. e190
Main Authors:	Patterson, Nick, Price, Alkes L., Reich, David
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 01.12.2006 Public Library of Science (PLoS)
Subjects:	Computer Simulation - statistics & numerical data Eigenfunctions Eukaryotes Genetic aspects Genetic Markers Genetic Variation Genetics Genetics and Genomics Genetics, Medical - methods Genetics, Medical - statistics & numerical data Genetics, Population - methods Genetics, Population - statistics & numerical data Humans Methods Models, Genetic Models, Statistical Phylogenetics Population genetics Population research Principal Component Analysis - methods Statistics Theory
ISSN:	1553-7390, 1553-7404, 1553-7404
Online Access:	Get full text
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