Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select

Using a reduced subset of SNPs in a linear mixed model can improve power for genome-wide association studies, yet this can result in insufficient correction for population stratification. We propose a hybrid approach using principal components that does not inflate statistics in the presence of popu...

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Detalles Bibliográficos
Autores principales: Tucker, George, Price, Alkes L., Berger, Bonnie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2014
Materias:
Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096359/
https://www.ncbi.nlm.nih.gov/pubmed/24788602
http://dx.doi.org/10.1534/genetics.114.164285
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author Tucker, George
Price, Alkes L.
Berger, Bonnie
author_facet Tucker, George
Price, Alkes L.
Berger, Bonnie
author_sort Tucker, George
collection PubMed
description Using a reduced subset of SNPs in a linear mixed model can improve power for genome-wide association studies, yet this can result in insufficient correction for population stratification. We propose a hybrid approach using principal components that does not inflate statistics in the presence of population stratification and improves power over standard linear mixed models.
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spelling pubmed-40963592014-07-16 Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select Tucker, George Price, Alkes L. Berger, Bonnie Genetics Investigations Using a reduced subset of SNPs in a linear mixed model can improve power for genome-wide association studies, yet this can result in insufficient correction for population stratification. We propose a hybrid approach using principal components that does not inflate statistics in the presence of population stratification and improves power over standard linear mixed models. Genetics Society of America 2014-07 2014-04-29 /pmc/articles/PMC4096359/ /pubmed/24788602 http://dx.doi.org/10.1534/genetics.114.164285 Text en Copyright © 2014 by the Genetics Society of America Available freely online through the author-supported open access option.
spellingShingle Investigations
Tucker, George
Price, Alkes L.
Berger, Bonnie
Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
title Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
title_full Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
title_fullStr Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
title_full_unstemmed Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
title_short Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
title_sort improving the power of gwas and avoiding confounding from population stratification with pc-select
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096359/
https://www.ncbi.nlm.nih.gov/pubmed/24788602
http://dx.doi.org/10.1534/genetics.114.164285
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