Ancestry estimation in South Africa using craniometrics and geometric morphometrics

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dc.contributor.author Stull, Kyra Elizabeth
dc.contributor.author Kenyhercz, Michael W.
dc.contributor.author L'Abbe, Ericka Noelle
dc.date.accessioned 2015-03-23T09:44:47Z
dc.date.available 2015-03-23T09:44:47Z
dc.date.issued 2014-12
dc.description.abstract Population history and positive assortative mating directs gene flow in such a way that biological differences are recognized among groups. In turn, forensic anthropologists quantify biological differences to estimate ancestry. Some anthropologists argue that highly admixed population groups, such as South African coloureds, cannot achieve acceptable accuracies because within group variance is too large. Whereas ancestry estimation in South Africa has been limited to craniometric data from South African blacks and whites, the current study integrates craniometric and geometric morphometric data from the three largest South African groups. Crania from 377 South African individuals (black = 158, white = 112, and coloured = 107) comprised the sample. Standard measurements were collected and the coordinate data were subjected to Generalized Procrustes Analysis (GPA), which resulted in size-free shape variables (ProCoords). A principal component analysis was used to combine the shape variation captured in the ProCoords (ProCoords PC). Linear discriminant analysis (LDA), using equal priors, stepwise variable selection and leave-one-out cross-validation, was conducted on the ProCoords, the ProCoords PCs, and the traditional craniometric data. The LDA using 18 stepwise selected ProCoords resulted in the highest cross-validated accuracy (89%). Utilization of geometric morphometric data emphasized that the relative location of cranial landmarks was more discriminating than simple linear distances. Regardless of high levels of genetic admixture, South African coloureds are a homogeneous group and morphologically distinct from other contemporaneous South African populations. Furthermore, the present study demonstrated a correspondence between peer-reported race and morphological differences in the crania of black, white, and coloured South Africans. en_ZA
dc.description.librarian hb2015 en_ZA
dc.description.sponsorship National Research Foundation of South Africa (NRF). en_ZA
dc.description.uri http://www.elsevier.com/locate/forsciint en_ZA
dc.identifier.citation Stull, KE, Kenyhercz, MW & L'Abbe, EN 2014, 'Ancestry estimation in South Africa using craniometrics and geometric morphometrics', Forensic Science International, vol. 245, pp. 206.e1–206.e7 en_ZA
dc.identifier.issn 0379-0738 (print)
dc.identifier.issn 1872-6283 (online)
dc.identifier.other 10.1016/j.forsciint.2014.10.021
dc.identifier.uri http://hdl.handle.net/2263/44104
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2014 Elsevier Ireland Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Forensic Science International. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Forensic Science International, vol. 245, pp. e1-206e, 2014. doi : 10.1016/j.forsciint.2014.10.021 en_ZA
dc.subject Craniometric variation en_ZA
dc.subject Human variation en_ZA
dc.subject Forensic athropology population data en_ZA
dc.subject Generalized procrustes analysis (GPA) en_ZA
dc.subject Linear discriminant analysis (LDA) en_ZA
dc.title Ancestry estimation in South Africa using craniometrics and geometric morphometrics en_ZA
dc.type Postprint Article en_ZA


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