Network-based approach for post genome-wide association study analysis in admixed populations

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dc.contributor.advisorMulder, Nicolaen_ZA
dc.contributor.authorMbiyavanga, Mamanaen_ZA
dc.date.accessioned2014-08-02T14:56:39Z
dc.date.available2014-08-02T14:56:39Z
dc.date.issued2014en_ZA
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliographical references.
dc.description.abstractIn this project, we review some existing pathway-based approaches for GWA study analyses, by exploring different implemented methods for combining effects of multiple modest genetic variants at gene and pathway levels. We then propose a graph-based method, ancGWAS, that incorporates the signal from GWA study, and the locus-specific ancestry into the human protein-protein interaction (PPI) network to identify significant sub-networks or pathways associated with the trait of interest. This network-based method applies centrality measures within linkage disequilibrium (LD) on the network to search for pathways and applies a scoring summary statistic on the resulting pathways to identify the most enriched pathways associated with complex diseases.en_ZA
dc.identifier.apacitationMbiyavanga, M. (2014). <i>Network-based approach for post genome-wide association study analysis in admixed populations</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology. Retrieved from http://hdl.handle.net/11427/5968en_ZA
dc.identifier.chicagocitationMbiyavanga, Mamana. <i>"Network-based approach for post genome-wide association study analysis in admixed populations."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology, 2014. http://hdl.handle.net/11427/5968en_ZA
dc.identifier.citationMbiyavanga, M. 2014. Network-based approach for post genome-wide association study analysis in admixed populations. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mbiyavanga, Mamana AB - In this project, we review some existing pathway-based approaches for GWA study analyses, by exploring different implemented methods for combining effects of multiple modest genetic variants at gene and pathway levels. We then propose a graph-based method, ancGWAS, that incorporates the signal from GWA study, and the locus-specific ancestry into the human protein-protein interaction (PPI) network to identify significant sub-networks or pathways associated with the trait of interest. This network-based method applies centrality measures within linkage disequilibrium (LD) on the network to search for pathways and applies a scoring summary statistic on the resulting pathways to identify the most enriched pathways associated with complex diseases. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - Network-based approach for post genome-wide association study analysis in admixed populations TI - Network-based approach for post genome-wide association study analysis in admixed populations UR - http://hdl.handle.net/11427/5968 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5968
dc.identifier.vancouvercitationMbiyavanga M. Network-based approach for post genome-wide association study analysis in admixed populations. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Molecular and Cell Biology, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5968en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Molecular and Cell Biologyen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherBioinformaticsen_ZA
dc.titleNetwork-based approach for post genome-wide association study analysis in admixed populationsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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