Sex and ancestry estimation of South African crania using 3D-ID

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dc.contributor.authorLottering, Tamara Leigh
dc.date.accessioned2021-02-03T14:31:11Z
dc.date.available2021-02-03T14:31:11Z
dc.date.issued2020
dc.descriptionA dissertation submitted to the Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Medicine, 2020en_ZA
dc.description.abstractComputer programs using osteometrics for sex and ancestry estimation have become more popular. The programs 3D-ID and FORDISC, compare data from an unknown individual with an existing database representing various populations. These programs are traditionally used in American cases, however, there is a need to expand the application of these programs for international use. The aim of this study was thus to assess how accurately 3D-ID estimates sex and ancestry for a South African sample as well as to compare these results from 3D-ID to results from FORDISC. A total of 450 South African Black (SAB), South African Coloured (SAC) and South African White (SAW) crania were digitised using a Microscribe 3-DX digitiser. Sex and ancestry were estimated using 3D-ID and FORDISC. 3D-ID achieved a range of accuracies (44.0% to 93.3%) for sex estimation, with females achieving the highest. It was found that 3D-ID classified SAB individuals as African American or European Southwestern, SAC individuals as European Southwestern, and SAW individuals as European American and European Southwestern. FORDISC achieved sex accuracies ranging from 66.7% to 100.0% and a range of ancestry accuracies with the SAC population achieving the lowest accuracies of 26.7% and 42.7%. It was seen that FORDISC achieved slightly higher accuracies compared to 3D-ID, however this could be because FORDISC has a custom database for South African individuals, whereas 3D-IDs database contains no South Africans. Overall, 3D-ID had moderate classifications showing that it is not an accurate tool for ancestry estimation of South African populations. It would therefore be beneficial to include South African individuals into the 3D-ID database to achieve increased accuraciesen_ZA
dc.description.librarianCK2021en_ZA
dc.facultyFaculty of Health Sciencesen_ZA
dc.format.extentOnline resource (104 leaves)
dc.identifier.citationLottering, Tamara Leigh (2020) Sex and ancestry estimation of South African crania using 3D-ID, University of the Witwatersrand, Johannesburg, <http://hdl.handle.net/10539/30476>
dc.identifier.urihttps://hdl.handle.net/10539/30476
dc.language.isoenen_ZA
dc.subject.meshForensic anthropology
dc.subject.meshOsteology
dc.titleSex and ancestry estimation of South African crania using 3D-IDen_ZA
dc.typeThesisen_ZA
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