Literature DB >> 23973732

Separation of the largest eigenvalues in eigenanalysis of genotype data from discrete subpopulations.

Katarzyna Bryc1, Wlodek Bryc, Jack W Silverstein.   

Abstract

We present a mathematical model, and the corresponding mathematical analysis, that justifies and quantifies the use of principal component analysis of biallelic genetic marker data for a set of individuals to detect the number of subpopulations represented in the data. We indicate that the power of the technique relies more on the number of individuals genotyped than on the number of markers.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Eigenanalysis; Eigenvalues; Number of subpopulations; Population structure; Principal components analysis

Mesh：

Year:  2013        PMID： 23973732      PMCID： PMC3825268          DOI： 10.1016/j.tpb.2013.08.004

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN： 0040-5809            Impact factor:   1.570


  28 in total

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