Recently, a metric approach to skeletal sex determination was published by Paiva and Segre which is based on the summation of two triangular areas defined by three distinct craniometric landmarks: Porion, Mastoidale, and Asterion. According to the authors, values for the total triangle > or =1447.40 mm(2) are characteristic for male crania, while values < or =1260.36 mm(2) are indicative of female skulls (95% confidence). In order to evaluate the method's validity, two sex- and age-documented samples of different provenience were analyzed (N=197). The results show that while the indicated measurements display significant sex differences, the technique is of little practical meaning where a single individual must be independently classified. It is hypothesized that differences in the expression of sexual dimorphism as well as a population-specific variability of the asterion location undermine the value of the mastoid triangle as a sex determinant.

BackgroundNearly half of the West Eurasian assemblage of human mitochondrial DNA (mtDNA) is fractioned into numerous sub-lineages of the predominant haplogroup (hg) R0. Several hypotheses have been proposed on the origin and the expansion times of some R0 sub-lineages, which were partially inconsistent with each other. Here we describe the phylogenetic structure and genetic variety of hg R0 in five European populations and one population from the Middle East.ResultsOur analysis of 1,350 mtDNA haplotypes belonging to R0, including entire control region sequences and 45 single nucleotide polymorphisms from the coding region, revealed significant differences in the distribution of different sub-hgs even between geographically closely located regions. Estimates of coalescence times that were derived using diverse algorithmic approaches consistently affirmed that the major expansions of the different R0 hgs occurred in the terminal Pleistocene and early Holocene.ConclusionGiven an estimated coalescence time of the distinct lineages of 10 – 18 kya, the differences in the distributions could hint to either limited maternal gene flow after the Last Glacial Maximum due to the alpine nature of the regions involved or to a stochastic loss of diversity due to environmental events and/or disease episodes occurred at different times and in distinctive regions. Our comparison of two different ways of obtaining the timing of the most recent common ancestor confirms that the time of a sudden expansion can be adequately recovered from control region data with valid confidence intervals. For reliable estimates, both procedures should be applied in order to cross-check the results for validity and soundness.

West Africa is characterized by a migration history spanning more than 150,000 years. Climate changes but also political circumstances were responsible for several early but also recent population movements that shaped the West African mitochondrial landscape. The aim of the study was to establish a Ghanaian mtDNA dataset for forensic purposes and to investigate the diversity of the Ghanaian population sample with respect to surrounding populations. We sequenced full mitochondrial control regions of 193 Akan people from Ghana and excluded two apparently close maternally related individuals due to preceding kinship testing. The remaining dataset comprising 191 sequences was applied as etalon for quasi-median network analysis and was subsequently combined with 99 additional control region sequences from surrounding West African countries. All sequences were incorporated into the EMPOP database enriching the severely underrepresented African mtDNA pool. For phylogeographic considerations, the Ghanaian haplotypes were compared to those of 19 neighboring populations comprising a total number of 6198 HVS1 haplotypes. We found extensive genetic admixture between the Ghanaian lineages and those from adjacent populations diminishing with geographical distance. The extent of genetic admixture reflects the long but also recent history of migration waves within West Africa mainly caused by changing environmental conditions. Also, evidence for potential socio-economical influences such as trade routes is provided by the occurrence of U6b and U6d sequences found in Dubai but also in Tunisia leading to the African West Coast via Mauritania and Senegal but also via Niger, Nigeria to Cameroon.

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