Exploring sexual dimorphism of the modern human talus through geometric morphometric methods

Rita Sorrentino, Maria Giovanna Belcastro, Carla Figus, Nicholas B. Stephens, Kevin Turley, William Harcourt-Smith, Timothy M. Ryan, Stefano Benazzi

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Sex determination is a pivotal step in forensic and bioarchaeological fields. Generally, scholars focus on metric or qualitative morphological features, but in the last few years several contributions have applied geometric-morphometric (GM) techniques to overcome limitations of traditional approaches. In this study, we explore sexual dimorphism in modern human tali from three early 20th century populations (Sassari and Bologna, Italy; New York, USA) at intra- and interspecific population levels using geometric morphometric (GM) methods. Statistical analyses were performed using shape, form, and size variables. Our results do not show significant differences in shape between males and females, either considering the pooled sample or the individual populations. Differences in talar morphology due to sexual dimorphism are mainly related to allometry, i.e. size-related changes of morphological traits. Discriminant function analysis using form space Principal Components and centroid size correctly classify between 87.7% and 97.2% of the individuals. The result is similar using the pooled sample or the individual population, except for a diminished outcome for the New York group (from 73.9% to 78.2%). Finally, a talus from the Bologna sample (not included in the previous analysis) with known sex was selected to run a virtual resection, followed by two digital reconstructions based on the mean shape of both the pooled sample and the Bologna sample, respectively. The reconstructed talus was correctly classified with a Ppost between 99.9% and 100%, demonstrating that GM is a valuable tool to cope with fragmentary tali, which is a common occurrence in forensic and bioarchaeological contexts.

Original languageEnglish (US)
Article numbere0229255
JournalPloS one
Volume15
Issue number2
DOIs
StatePublished - Feb 1 2020

All Science Journal Classification (ASJC) codes

  • General

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