Testing the reliability of 3D-ID software in sex and ancestry estimation with a modern Greek sample.

A primary concern in forensic anthropology, when reconstructing the biological profile of an unidentified individual is ancestry and sex estimation. The development of multivariate statistical methods and the assembly of large reference sample databases gave rise to the development of specialized computer software for sex and ancestry estimation. Among various such software, the 3D-ID is the only freely-available program that can handle missing values in the input dataset. The present study evaluates the reliability of 3D-ID in correctly classifying ancestry and sex of 158 test subjects from the Athens Collection, a documented Greek population sample. 3D-ID's classification performance was evaluated both separately and collectively for sex and ancestry. According to our results, the accuracy regarding sex estimation ranged from 74.05% to 86.7% for cases with unknown ancestry and reached 89.87% when testing within the Southeastern European reference group, whereas ancestry estimation accuracy reached 70.9% for correctly classifying the Greek individuals to European population groups. We conclude that 3D-ID software exhibits moderate reliability in ancestry estimation and adequate reliability in sex estimation. The Greek population seems to deviate from the 3D-ID software's reference samples and therefore caution should be taken in interpreting 3D-ID's results of unknown subjects, for which the software's reference sample database may not be representative. 3D-ID's guidelines for using 19-landmark configuration improves the accuracy of ancestry estimation and form variables should be preferred for sexing samples.