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dc.contributor.author Hu, Pingzhao
dc.contributor.author Paterson, Andrew D
dc.date.accessioned 2014-06-17T11:03:28Z
dc.date.available 2014-06-17T11:03:28Z
dc.date.issued 2014-06-17
dc.identifier.citation BMC Proceedings. 2014 Jun 17;8(Suppl 1):S106
dc.identifier.uri http://hdl.handle.net/1993/23631
dc.description.abstract Abstract 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.title Dynamic pathway analysis of genes associated with blood pressure using whole genome sequence data
dc.type Journal Article
dc.language.rfc3066 en
dc.description.version Peer Reviewed
dc.rights.holder Pingzhao Hu et al.; licensee BioMed Central Ltd.
dc.date.updated 2014-06-17T11:03:29Z
dc.identifier.doi http://dx.doi.org/10.1186/1753-6561-8-S1-S106


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