Dynamic pathway analysis of genes associated with blood pressure using whole genome sequence data

dc.contributor.authorHu, Pingzhao
dc.contributor.authorPaterson, Andrew D
dc.date.accessioned2014-06-17T11:03:28Z
dc.date.available2014-06-17T11:03:28Z
dc.date.issued2014-06-17
dc.date.updated2014-06-17T11:03:29Z
dc.description.abstractAbstract Groups of genes assigned to a pathway, also called a module, have similar functions. Finding such modules, and the topology of the changes of the modules over time, is a fundamental problem in understanding the mechanisms of complex diseases. Here we investigated an approach that categorized variants into rare or common and used a hierarchical model to jointly estimate the group effects of the variants in a pathway for identifying enriched pathways over time using whole genome sequencing data and blood pressure data. Our results suggest that the method can identify potentially biologically meaningful genes in modules associated with blood pressure over time.
dc.description.versionPeer Reviewed
dc.identifier.citationBMC Proceedings. 2014 Jun 17;8(Suppl 1):S106
dc.identifier.doihttp://dx.doi.org/10.1186/1753-6561-8-S1-S106
dc.identifier.urihttp://hdl.handle.net/1993/23631
dc.language.rfc3066en
dc.rightsopen accessen_US
dc.rights.holderPingzhao Hu et al.; licensee BioMed Central Ltd.
dc.titleDynamic pathway analysis of genes associated with blood pressure using whole genome sequence data
dc.typeJournal Article
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