Document Detail


Genetic ancestry inference using support vector machines, and the active emergence of a unique American population.
MedLine Citation:
PMID:  23211701     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We use genotype data from the Marshfield Clinical Research Foundation Personalized Medicine Research Project to investigate genetic similarity and divergence between Europeans and the sampled population of European Americans in Central Wisconsin, USA. To infer recent genetic ancestry of the sampled Wisconsinites, we train support vector machines (SVMs) on the positions of Europeans along top principal components (PCs). Our SVM models partition continent-wide European genetic variance into eight regional classes, which is an improvement over the geographically broader categories of recent ancestry reported by personal genomics companies. After correcting for misclassification error associated with the SVMs (<10%, in all cases), we observe a >14% discrepancy between insular ancestries reported by Wisconsinites and those inferred by SVM. Values of FST as well as Mantel tests for correlation between genetic and European geographic distances indicate minimal divergence between Europe and the local Wisconsin population. However, we find that individuals from the Wisconsin sample show greater dispersion along higher-order PCs than individuals from Europe. Hypothesizing that this pattern is characteristic of nascent divergence, we run computer simulations that mimic the recent peopling of Wisconsin. Simulations corroborate the pattern in higher-order PCs, demonstrate its transient nature, and show that admixture accelerates the rate of divergence between the admixed population and its parental sources relative to drift alone. Together, empirical and simulation results suggest that genetic divergence between European source populations and European Americans in Central Wisconsin is subtle but already under way.
Authors:
Ryan J Haasl; Catherine A McCarty; Bret A Payseur
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-12-05
Journal Detail:
Title:  European journal of human genetics : EJHG     Volume:  21     ISSN:  1476-5438     ISO Abbreviation:  Eur. J. Hum. Genet.     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-04-18     Completed Date:  2013-10-17     Revised Date:  2014-03-19    
Medline Journal Info:
Nlm Unique ID:  9302235     Medline TA:  Eur J Hum Genet     Country:  England    
Other Details:
Languages:  eng     Pagination:  554-62     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance
Computer Simulation
Databases, Genetic
European Continental Ancestry Group / genetics*
Genetic Variation*
Genetics, Population
Genotype
Humans
Principal Component Analysis
Support Vector Machines*
Wisconsin
Grant Support
ID/Acronym/Agency:
1U01HG004608-01/HG/NHGRI NIH HHS; HG004498/HG/NHGRI NIH HHS; R01 HG004498/HG/NHGRI NIH HHS; U01 HG004608/HG/NHGRI NIH HHS; UL1 TR000427/TR/NCATS NIH HHS
Comments/Corrections
Erratum In:
Eur J Hum Genet. 2013 May;21(5):578

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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