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Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry?
This study aimed to determine whether the calculation of polygenic risk scores (PRS) could indicate a genetic link between gambling and alcohol use disorder. The main objective of the study was to determine if PRS for alcohol dependence in one study (NESARC dataset) could be used to predict the pres...
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| Format: | Thesis |
| Language: | English English |
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Department of Biological Sciences
2026
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| _version_ | 1867611356971139072 |
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| access_status_str | Open Access |
| author | Labuschagne, Shelby Layla |
| author2 | Mulder, Nicola |
| author_browse | Labuschagne, Shelby Layla Mulder, Nicola |
| author_facet | Mulder, Nicola Labuschagne, Shelby Layla |
| author_sort | Labuschagne, Shelby Layla |
| collection | Thesis |
| description | This study aimed to determine whether the calculation of polygenic risk scores (PRS) could indicate a genetic link between gambling and alcohol use disorder. The main objective of the study was to determine if PRS for alcohol dependence in one study (NESARC dataset) could be used to predict the presence of gambling disorder in another (Alcohol Dependence dataset). No prior published research was found which calculates PRS for a substance addiction and applies it to the prediction of a behavioural addiction. The software PRSice was used to generate the PRS for two datasets, and these were analysed using linear modelling to determine whether the PRS for alcohol dependence (in the NESARC GWAS dataset) could predict the presence of GD in individuals with alcohol dependence. The model indicated accurate linkage 4.79% of the time. Due to this low percentage, it was concluded that PRS for alcohol dependence cannot accurately and regularly predict the presence of gambling disorder in individuals of European and African ancestry. However, we recognize limitations of the study, for example in the small sample size. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/43108 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Department of Biological Sciences |
| publisherStr | Department of Biological Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/43108 Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry? Labuschagne, Shelby Layla Mulder, Nicola Stein, Dan Alcohol Dependence dataset NESARC dataset NESARC GWAS dataset This study aimed to determine whether the calculation of polygenic risk scores (PRS) could indicate a genetic link between gambling and alcohol use disorder. The main objective of the study was to determine if PRS for alcohol dependence in one study (NESARC dataset) could be used to predict the presence of gambling disorder in another (Alcohol Dependence dataset). No prior published research was found which calculates PRS for a substance addiction and applies it to the prediction of a behavioural addiction. The software PRSice was used to generate the PRS for two datasets, and these were analysed using linear modelling to determine whether the PRS for alcohol dependence (in the NESARC GWAS dataset) could predict the presence of GD in individuals with alcohol dependence. The model indicated accurate linkage 4.79% of the time. Due to this low percentage, it was concluded that PRS for alcohol dependence cannot accurately and regularly predict the presence of gambling disorder in individuals of European and African ancestry. However, we recognize limitations of the study, for example in the small sample size. 2026-04-22T07:02:18Z 2026-04-22T07:02:18Z 2023 2026-04-21T12:24:22Z Thesis / Dissertation Masters Masters http://hdl.handle.net/11427/43108 en eng application/pdf Department of Biological Sciences Faculty of Science University of Cape Town |
| spellingShingle | Alcohol Dependence dataset NESARC dataset NESARC GWAS dataset Labuschagne, Shelby Layla Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry? |
| thesis_degree_str | Master's |
| title | Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry? |
| title_full | Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry? |
| title_fullStr | Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry? |
| title_full_unstemmed | Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry? |
| title_short | Do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of European and African ancestry? |
| title_sort | do polygenic risk scores for alcohol dependence predict the presence of gambling disorder in individuals of european and african ancestry |
| topic | Alcohol Dependence dataset NESARC dataset NESARC GWAS dataset |
| url | http://hdl.handle.net/11427/43108 |
| work_keys_str_mv | AT labuschagneshelbylayla dopolygenicriskscoresforalcoholdependencepredictthepresenceofgamblingdisorderinindividualsofeuropeanandafricanancestry |