title: Population differences in the postcrania of modern South Africans and the implications for ancestry estimation.
abstract: The cranium is widely recognized as the most important skeletal element to use when evaluating population differences and estimating ancestry. However, the cranium is not always intact or available for analysis, which emphasizes the need for postcranial alternatives. The purpose of this study was to quantify postcraniometric differences among South Africans that can be used to estimate ancestry. Thirty-nine standard measurements from 11 postcranial bones were collected from 360 modern black, white and coloured South Africans; the sex and ancestry distribution were equal. Group differences were explored with analysis of variance (ANOVA) and Tukey's honestly significant difference (HSD) test. Linear and flexible discriminant analysis (LDA and FDA, respectively) were conducted with bone models as well as numerous multivariate subsets to identify the model and method that yielded the highest correct classifications. Leave-one-out (LDA) and k-fold (k=10; FDA) cross-validation with equal priors were used for all models. ANOVA and Tukey's HSD results reveal statistically significant differences between at least two of the three groups for the majority of the variables, with varying degrees of group overlap. Bone models, which consisted of all measurements per bone, resulted in low accuracies that ranged from 46% to 63% (LDA) and 41% to 66% (FDA). In contrast, the multivariate subsets, which consisted of different variable combinations from all elements, achieved accuracies as high as 85% (LDA) and 87% (FDA). Thus, when using a multivariate approach, the postcranial skeleton can distinguish among three modern South African groups with high accuracy.
authors.affiliation: Department of Anatomy, University of Pretoria, Arcadia, South Africa; Department of Basic Medical Sciences, University of the Free State, Bloemfontein, South Africa. Electronic address: leandil@hotmail.co.za.
authors.forename: Leandi
authors.initials: L
authors.lastname: Liebenberg
authors.affiliation: Department of Anatomy, University of Pretoria, Arcadia, South Africa.
authors.forename: Ericka N
authors.initials: EN
authors.lastname: L'Abbé
authors.affiliation: Department of Anthropology, Idaho State University, Pocatello, ID, USA.
authors.forename: Kyra E
authors.initials: KE
authors.lastname: Stull
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D044383:Black People; D001842:Bone and Bones / Q000033:anatomy & histology*; D016002:Discriminant Analysis; D005260:Female; D018732:Forensic Anthropology; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D013019:South Africa; D044465:White People; D055815:Young Adult
keywords: Classification; Flexible discriminant analysis; Forensic anthropology population data; Human variation; Linear discriminant analysis; Postcrania