Sex and ancestry related differences between two Central European populations determined using exocranial meshes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F19%3A10403587" target="_blank" >RIV/00216208:11310/19:10403587 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/19:10403587

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=W-gqf2JjP5" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=W-gqf2JjP5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.forsciint.2019.02.034" target="_blank" >10.1016/j.forsciint.2019.02.034</a>

Result language

angličtina

Original language name

Sex and ancestry related differences between two Central European populations determined using exocranial meshes

Original language description

Assessing sex and population affinity is an important part of the process of biologically identifying unknown human remains, and the skull is usually one of the best structures for assessing both these components of the biological profile. Population affinity is known to be a hugely important variable when estimating sex because the manifestation of sexually dimorphic traits, body size or social and behavioural habits differs across populations. Therefore, for forensic purposes, the estimation of ancestry is a necessary step in the identification of bone remains. The present study improves on the results of a previously developed virtual method using the exocranial surface for sex estimation and assessing population affinity. The ability to assess these components of the biological profile was successfully tested on 208 individuals from two recent European populations. The original classifier was based on geometric morphometric analyses (CPD-DCA, PCA, SVM) and was able to assess the sex of individuals belonging to one French population with an accuracy exceeding 90 % Musilova et al. [1]. To improve the reliability of the method, the Czech population sample was added to the dataset, yielding the highest accuracy of 96.2 %; using the combined dataset, the reliability of the method was 91.8 %. Secondly, we used the same method utilizing inter-population differences to classify individuals based on the shape of the skull. The greatest accuracy rate was 92.8 %, which makes our method a promising tool for sex estimation and assessing population affinity.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10600 - Biological sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Forensic Science International

ISSN

0379-0738

e-ISSN

—

Volume of the periodical

297

Issue of the periodical within the volume

April

Country of publishing house

IE - IRELAND

Number of pages

6

Pages from-to

364-369

UT code for WoS article

000462818500051

EID of the result in the Scopus database

2-s2.0-85062803992