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Detecting epistatic interactions contributing to human gene expression using the CEPH family data

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dc.contributor.authorLi, Huaen
dc.contributor.authorGao, Guiminen
dc.contributor.authorLi, Jianen
dc.contributor.authorPage, Grier P.en
dc.contributor.authorZhang, Kuien
dc.date.accessioned2012-08-24T12:07:34Zen
dc.date.available2012-08-24T12:07:34Zen
dc.date.issued2007-12-18en
dc.date.updated2012-08-24T12:07:34Zen
dc.description.abstractIt is believed that epistatic interactions among loci contribute to variations in quantitative traits. Several methods are available to detect epistasis using population-based data. However, methods to characterize epistasis for quantitative traits in family-based association analysis are not well developed, especially for studying thousands of gene expression traits. Here, we proposed a linear mixed-model approach to detect epistasis for quantitative traits using family data. The proposed method was implemented in a widely used software program SOLAR. We evaluated the power of the method by simulation studies and applied this method to the analysis of the Centre d'Etude du Polymorphisme Humain family gene expression data provided by Genetics Analysis Workshop 15 (GAW15).en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBMC Proceedings. 2007 Dec 18;1(Suppl 1):S67en
dc.identifier.doihttps://doi.org/10.1186/1753-6561-1-S1-S67en
dc.identifier.urihttp://hdl.handle.net/10919/18910en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderHua Li et al.; licensee BioMed Central Ltd.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleDetecting epistatic interactions contributing to human gene expression using the CEPH family dataen
dc.title.serialBMC Proceedingsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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