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A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis

Genotype-expression association analysis using linear regression may produce different test results depending on whether founders only or all pedigreed members are used. This difference is not due to the correlation of samples within a pedigree, because linear mixed models have been applied to accou...

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Detalles Bibliográficos
Autores principales: Suh, Young Ju, Lee, Hye-Soon, Batliwalla, Franak, Li, Wentian
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367500/
https://www.ncbi.nlm.nih.gov/pubmed/18466582
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author Suh, Young Ju
Lee, Hye-Soon
Batliwalla, Franak
Li, Wentian
author_facet Suh, Young Ju
Lee, Hye-Soon
Batliwalla, Franak
Li, Wentian
author_sort Suh, Young Ju
collection PubMed
description Genotype-expression association analysis using linear regression may produce different test results depending on whether founders only or all pedigreed members are used. This difference is not due to the correlation of samples within a pedigree, because linear mixed models have been applied to account for that correlation. We investigated the possibility that the difference is due to a dependence of expression levels on, among other things, the generation number in the pedigree. Indeed, of the 30 or so studied expression quantitative traits, several of them show significant dependence on the generation number. We propose to use all pedigree members in genotype-expression association analyses whenever the complete genotyping information is available.
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spelling pubmed-23675002008-05-06 A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis Suh, Young Ju Lee, Hye-Soon Batliwalla, Franak Li, Wentian BMC Proc Proceedings Genotype-expression association analysis using linear regression may produce different test results depending on whether founders only or all pedigreed members are used. This difference is not due to the correlation of samples within a pedigree, because linear mixed models have been applied to account for that correlation. We investigated the possibility that the difference is due to a dependence of expression levels on, among other things, the generation number in the pedigree. Indeed, of the 30 or so studied expression quantitative traits, several of them show significant dependence on the generation number. We propose to use all pedigree members in genotype-expression association analyses whenever the complete genotyping information is available. BioMed Central 2007-12-18 /pmc/articles/PMC2367500/ /pubmed/18466582 Text en Copyright © 2007 Suh et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Suh, Young Ju
Lee, Hye-Soon
Batliwalla, Franak
Li, Wentian
A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis
title A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis
title_full A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis
title_fullStr A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis
title_full_unstemmed A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis
title_short A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis
title_sort comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367500/
https://www.ncbi.nlm.nih.gov/pubmed/18466582
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