Mapping gene variation in sub-Saharan African populations

dc.contributor.authorVokwana, Cebisa Khanya Joy
dc.date.accessioned2009-04-16T10:58:52Z
dc.date.available2009-04-16T10:58:52Z
dc.date.issued2009-04-16T10:58:52Z
dc.description.abstractABSTRACT The present study examined the distribution of six genetic variants (CYP17A1, CYP3A4, SRD5A2, KLK3, AR) in the androgen biosynthesis and metabolism pathway, in 14 sub-Saharan African populations. These polymorphisms have been implicated in several complex diseases, most notably prostate cancer. In order to elucidate the frequencies of these genetic variants, PCR-RFLP and STR based methodologies were employed. Consistent with previously reported results, the frequency distribution of the gene variants in the examined populations greatly coincided with prostate cancer incidence and geographic origin. Populations of African descent had the highest frequencies of the alleles that are postulated to increase risk to prostate cancer, whilst Asian populations had the lowest. Also, there were evident differences in the frequencies of these variants between populations of different continental origin particularly between African and Eurasian populations. The distribution of these genetic variants was further used to assess the spectrum of variation within Africa. The results were greatly aligned with those previously reported, providing further support to the origin and evolution of modern humans from Africa as well as other historic events.en
dc.identifier.urihttp://hdl.handle.net/10539/6892
dc.language.isoenen
dc.subjectgene variationen
dc.subjectsub-Saharaen
dc.subjectAfrican populationsen
dc.titleMapping gene variation in sub-Saharan African populationsen
dc.typeThesisen
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
081105_Masters Thesis (final) ver2.pdf
Size:
1.06 MB
Format:
Adobe Portable Document Format
Description:
No Thumbnail Available
Name:
ABSTRACT.pdf
Size:
6 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
92 B
Format:
Item-specific license agreed upon to submission
Description:
Collections