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Genetic analysis of bipolar disorder and alcohol use disorder
Includes bibliographical references
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Division of Human Genetics
2016
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| _version_ | 1867613464569053184 |
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| access_status_str | Open Access |
| author | Dalvie, Shareefa |
| author2 | Ramesar, Rajkumar |
| author_browse | Dalvie, Shareefa Ramesar, Rajkumar |
| author_facet | Ramesar, Rajkumar Dalvie, Shareefa |
| author_sort | Dalvie, Shareefa |
| collection | Thesis |
| description | Includes bibliographical references |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/16560 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:36:34.134Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Division of Human Genetics |
| publisherStr | Division of Human Genetics |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/16560 Genetic analysis of bipolar disorder and alcohol use disorder Dalvie, Shareefa Ramesar, Rajkumar Stein, Dan J Human Genetics Includes bibliographical references Background: Mental health disorders represent a major public health problem in most countries around the world. In South Africa, the lifetime prevalence of psychiatric disorders is 30.3%, with substance-use disorders and mood disorders being the second and third most prevalent classes of lifetime disorders, respectively. Bipolar disorder (BD) has a lifetime prevalence of 1.4% and alcohol use disorder (AUD) a lifetime prevalence of 30.3%, and they are frequently comorbid. Both of these disorders have a relatively high heritability, yet the exact genetic basis of each remains unknown. Genetic variants within the hypothalamic-pituitary-adrenal (HPA)-axis and glutamatergic pathways have previously been implicated in both phenotypes. The aim of this project was to investigate the aetiology of BD and AUD, using high-throughput genomic technologies, bioinformatics, brain-imaging and environmental measures. An additional aim was to assess the genetic aetiology of BD-AUD comorbidity. Methods: For the genetic analysis underlying BD, a South African 'Afrikaner' family was investigated. Whole-genome sequencing (WGS) and whole-genome linkage analysis was performed for individuals with BD Type I (BDI) and unaffected family members using the Illumina HiSeq2000 and Affymetrix Axiom TM Genome-wide CEU 1 Array, respectively. For the AUD analysis, two groups were investigated; a South African adolescent group comprising 80 individuals with AUD and 80 controls, and a group of 8123 individuals from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. The South African group of adolescents were genotyped using the Illumina Infinium iSelect custom 6000 BeadChip, childhood trauma data was obtained and brain magnetic resonance images were collected for a subset of this group. Genotype data on HPA-axis genes were obtained from a previous study for the ALSPAC cohort. The fourth group of individuals investigated in this thesis comprised 233 individuals with BD-AUD comorbidity from the Systemic Treatment Enhancement Program for BD (STEP-BD). Genotype data for genes from the glutamatergic and HPA-axis pathways were obtained from a previous study conducted on these individuals. Results: The chromosomal regions 6p25, 10p14-10p15.1, 11q23-11q25, and 13q21-22 scored the highest LOD scores for BD and the most over-represented pathway in the affected family members was the T-cell receptor signalling pathway. In the South African adolescent group, circadian rhythm genes were associated with AUD and childhood trauma predicted alcohol use in adolescence. The gene-imaging analysis identified a SNP in the glutamate receptor, ionotropic, N-methyl D-aspartate 2B (GRIN2B) gene as being associated with brain volume in the left orbitofrontal cortex and posterior cingulate. HPA-axis genes did not show an association with AUD and no significant gene x environment interactions were detected for AUD in the ALSPAC cohort. Single variants in the glutamatergic genes and HPA-axis were not associated with BD-AUD comorbidity. However, from the gene-based analysis, the glutamatergic gene PRKCI was associated with BD-AUD comorbidity. Conclusions: It appears that disruption in immune-related genes may contribute to the development of BD in an Afrikaner family. No significant gene x environment interactions were detected for adolescent AUD. The circadian pathway and childhood trauma may play a role in the development of adolescent AUD. Differential brain volume and BD-AUD comorbidity may be characterised by variation in the glutamatergic pathway. These pathways and the interactions between them should be further investigated in BD and AUD. 2016-01-26T12:02:58Z 2016-01-26T12:02:58Z 2015 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/16560 eng application/pdf Division of Human Genetics Faculty of Health Sciences University of Cape Town |
| spellingShingle | Human Genetics Dalvie, Shareefa Genetic analysis of bipolar disorder and alcohol use disorder |
| thesis_degree_str | Doctoral |
| title | Genetic analysis of bipolar disorder and alcohol use disorder |
| title_full | Genetic analysis of bipolar disorder and alcohol use disorder |
| title_fullStr | Genetic analysis of bipolar disorder and alcohol use disorder |
| title_full_unstemmed | Genetic analysis of bipolar disorder and alcohol use disorder |
| title_short | Genetic analysis of bipolar disorder and alcohol use disorder |
| title_sort | genetic analysis of bipolar disorder and alcohol use disorder |
| topic | Human Genetics |
| url | http://hdl.handle.net/11427/16560 |
| work_keys_str_mv | AT dalvieshareefa geneticanalysisofbipolardisorderandalcoholusedisorder |