Brůžek Jaroslav, Santos Frédéric, Dutailly Bruno, Murail Pascal, Cunha Eugenia
Laboratoire PACEA - De la Préhistoire à l'Actuel: Culture, Environnement et Anthropologie, UMR 5199, CNRS, Université de Bordeaux, CS 50023, Pessac, 33615, France.
Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague 2, 12000, Czech Republic.
Am J Phys Anthropol. 2017 Oct;164(2):440-449. doi: 10.1002/ajpa.23282. Epub 2017 Jul 17.
A new tool for skeletal sex estimation based on measurements of the human os coxae is presented using skeletons from a metapopulation of identified adult individuals from twelve independent population samples. For reliable sex estimation, a posterior probability greater than 0.95 was considered to be the classification threshold: below this value, estimates are considered indeterminate. By providing free software, we aim to develop an even more disseminated method for sex estimation.
Ten metric variables collected from 2,040 ossa coxa of adult subjects of known sex were recorded between 1986 and 2002 (reference sample). To test both the validity and reliability, a target sample consisting of two series of adult ossa coxa of known sex (n = 623) was used. The DSP2 software (Diagnose Sexuelle Probabiliste v2) is based on Linear Discriminant Analysis, and the posterior probabilities are calculated using an R script.
For the reference sample, any combination of four dimensions provides a correct sex estimate in at least 99% of cases. The percentage of individuals for whom sex can be estimated depends on the number of dimensions; for all ten variables it is higher than 90%. Those results are confirmed in the target sample.
Our posterior probability threshold of 0.95 for sex estimate corresponds to the traditional sectioning point used in osteological studies. DSP2 software is replacing the former version that should not be used anymore. DSP2 is a robust and reliable technique for sexing adult os coxae, and is also user friendly.
利用来自12个独立人群样本中已识别成年个体的混合种群骨骼,提出一种基于人类髋骨测量的骨骼性别估计新工具。为了进行可靠的性别估计,后验概率大于0.95被视为分类阈值:低于此值,估计被视为不确定。通过提供免费软件,我们旨在开发一种更广泛传播的性别估计方法。
1986年至2002年期间记录了从2040例已知性别的成年受试者髋骨中收集的10个测量变量(参考样本)。为了测试有效性和可靠性,使用了由两组已知性别的成年髋骨组成的目标样本(n = 623)。DSP2软件(概率性性别诊断v2)基于线性判别分析,后验概率使用R脚本计算。
对于参考样本,四个维度的任何组合在至少99%的情况下都能提供正确的性别估计。能够估计性别的个体百分比取决于维度数量;对于所有十个变量,该百分比高于90%。这些结果在目标样本中得到了证实。
我们用于性别估计的后验概率阈值0.95与骨学研究中使用的传统划分点相对应。DSP2软件正在取代不应再使用的旧版本。DSP2是一种用于成年髋骨性别的强大且可靠的技术,并且用户友好。