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Includes abstract.
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| Format: | Thesis |
| Language: | English |
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Department of Molecular and Cell Biology
2014
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| _version_ | 1867613266715344896 |
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| access_status_str | Open Access |
| author | Mbiyavanga, Mamana |
| author2 | Mulder, Nicola |
| author_browse | Mbiyavanga, Mamana Mulder, Nicola |
| author_facet | Mulder, Nicola Mbiyavanga, Mamana |
| author_sort | Mbiyavanga, Mamana |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5968 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:25.185Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Molecular and Cell Biology |
| publisherStr | Department of Molecular and Cell Biology |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5968 Network-based approach for post genome-wide association study analysis in admixed populations Mbiyavanga, Mamana Mulder, Nicola Bioinformatics Includes abstract. Includes bibliographical references. 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. 2014-08-02T14:56:39Z 2014-08-02T14:56:39Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/5968 eng application/pdf Department of Molecular and Cell Biology Faculty of Science University of Cape Town |
| spellingShingle | Bioinformatics Mbiyavanga, Mamana Network-based approach for post genome-wide association study analysis in admixed populations |
| thesis_degree_str | Master's |
| title | Network-based approach for post genome-wide association study analysis in admixed populations |
| title_full | Network-based approach for post genome-wide association study analysis in admixed populations |
| title_fullStr | Network-based approach for post genome-wide association study analysis in admixed populations |
| title_full_unstemmed | Network-based approach for post genome-wide association study analysis in admixed populations |
| title_short | Network-based approach for post genome-wide association study analysis in admixed populations |
| title_sort | network based approach for post genome wide association study analysis in admixed populations |
| topic | Bioinformatics |
| url | http://hdl.handle.net/11427/5968 |
| work_keys_str_mv | AT mbiyavangamamana networkbasedapproachforpostgenomewideassociationstudyanalysisinadmixedpopulations |