Assessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample

dc.contributor.advisorGibbon, Victoria E
dc.contributor.advisorDinkele, Elizabeth
dc.contributor.advisorMole, Calvin
dc.contributor.authorTawha, Tafadzwa Primrose Rudo
dc.date.accessioned2020-02-24T13:09:00Z
dc.date.available2020-02-24T13:09:00Z
dc.date.issued2019
dc.date.updated2020-02-24T10:47:37Z
dc.description.abstractThe large number of unidentified, decomposed and skeletonised remains found in South Africa (SA) necessitates relevant and reliable methods to assist in victim identification. Ancestry estimation from unknown skeletal remains is essential when reconstructing a demographic profile of a missing person. In the SA population, estimating ancestry is problematic as standards developed internationally rarely apply to the local, biologically heterogenous population. Craniofacial morphology is known to be ancestrally distinct and studies are yet to explore shape and size variation in the zygomatic bone of the SA population. The aim of this study was to assess ancestral variation in zygomatic shape and size in a SA population using three-dimensional geometric morphometric analyses. A sample of 158 individuals were analysed from Bantu-speaking (BA), European (EA) and Mixed Ancestral (MA) South African groups. Males were larger in size than females, but no size differences were observed between ancestral groups. Significant shape differences were observed between ancestral groups, while none were observed between males and females. BA and MA individuals had narrower, shorter and more anteriorly projecting zygomas than EA individuals. The zygoma was shown to accurately distinguish EA (84%) from BA (81%), and MA (80%) from EA (68%) individuals, but unreliably distinguished BA (60%) from MA (66%) individuals. This is likely correlated to the historical peopling of SA and historical forced racial classification. Age-related changes and antemortem tooth loss did not confound the ancestral variation in size, despite minor changes in zygomatic shape being associated with these two factors. These confounders did not impact ancestry estimation accuracies, further suggesting a minor impact on overall zygomatic shape. Furthermore, the patterning of ancestral variation in the zygoma revealed the need for further research to distinguish between the biologically heterogenous ancestral groups in SA.
dc.identifier.apacitationTawha, T. P. R. (2019). <i>Assessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample</i>. (). ,Faculty of Health Sciences ,Department of Pathology. Retrieved from http://hdl.handle.net/11427/31282en_ZA
dc.identifier.chicagocitationTawha, Tafadzwa Primrose Rudo. <i>"Assessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample."</i> ., ,Faculty of Health Sciences ,Department of Pathology, 2019. http://hdl.handle.net/11427/31282en_ZA
dc.identifier.citationTawha, T. 2019. Assessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Tawha, Tafadzwa Primrose Rudo AB - The large number of unidentified, decomposed and skeletonised remains found in South Africa (SA) necessitates relevant and reliable methods to assist in victim identification. Ancestry estimation from unknown skeletal remains is essential when reconstructing a demographic profile of a missing person. In the SA population, estimating ancestry is problematic as standards developed internationally rarely apply to the local, biologically heterogenous population. Craniofacial morphology is known to be ancestrally distinct and studies are yet to explore shape and size variation in the zygomatic bone of the SA population. The aim of this study was to assess ancestral variation in zygomatic shape and size in a SA population using three-dimensional geometric morphometric analyses. A sample of 158 individuals were analysed from Bantu-speaking (BA), European (EA) and Mixed Ancestral (MA) South African groups. Males were larger in size than females, but no size differences were observed between ancestral groups. Significant shape differences were observed between ancestral groups, while none were observed between males and females. BA and MA individuals had narrower, shorter and more anteriorly projecting zygomas than EA individuals. The zygoma was shown to accurately distinguish EA (84%) from BA (81%), and MA (80%) from EA (68%) individuals, but unreliably distinguished BA (60%) from MA (66%) individuals. This is likely correlated to the historical peopling of SA and historical forced racial classification. Age-related changes and antemortem tooth loss did not confound the ancestral variation in size, despite minor changes in zygomatic shape being associated with these two factors. These confounders did not impact ancestry estimation accuracies, further suggesting a minor impact on overall zygomatic shape. Furthermore, the patterning of ancestral variation in the zygoma revealed the need for further research to distinguish between the biologically heterogenous ancestral groups in SA. DA - 2019 DB - OpenUCT DP - University of Cape Town KW - Biomedical Forensic Science LK - https://open.uct.ac.za PY - 2019 T1 - Assessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample TI - Assessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample UR - http://hdl.handle.net/11427/31282 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/31282
dc.identifier.vancouvercitationTawha TPR. Assessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample. []. ,Faculty of Health Sciences ,Department of Pathology, 2019 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/31282en_ZA
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Pathology
dc.publisher.facultyFaculty of Health Sciences
dc.subjectBiomedical Forensic Science
dc.titleAssessing the accuracy of the zygoma for estimating ancestry using geometric morphometrics in a South African sample
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhil
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
thesis_hsf_2019_tawha_tafadzwa_primrose_rudo.pdf
Size:
3.74 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
0 B
Format:
Item-specific license agreed upon to submission
Description:
Collections