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

Includes abstract.

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Bibliographic Details
Main Author: Mbiyavanga, Mamana
Other Authors: Mulder, Nicola
Format: Thesis
Language:English
Published: Department of Molecular and Cell Biology 2014
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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