Metric variation of the tibia in the Mediterranean: Implications in forensic identification

Kranioti, Elena F.; García-Donas, Julieta G.; Karell, Mara A.; Cravo, Liliana; Ekizoğlu, Oğuzhan; Apostol, Mario; Cunha, Eugénia

doi:10.1016/j.forsciint.2019.03.044

Cited by 12 publications

(13 citation statements)

References 17 publications

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“…Due to the availability of morphological and metric information or a combination of both (Cunha & Ubelaker, 2020), the human skull is the most suitable anatomical structure for estimating ancestry in unidentified remains, especially the facial portion of the skull. More importantly, some authors argue that quantitative analyses should be preferred over visual examinations for greater reproducibility, repeatability, and objectivity (Kranioti et al, 2019;Urbanová et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…AncesTrees, however, is a free-to-use statistical program from a universe of tools made available by the Osteomics project (d'Oliveira Coelho et al, 2020) for forensic anthropologists, forensic experts, and scholars in the process of estimating human ancestry in unidentified specimens. The accuracy of this software depends on the craniometric measurements obtained, number of ancestry groups included for analysis, and on the statistical setup Therefore, a more robust database comprising the variety of human populations is required to increase the reliability and accuracy of the algorithms for use in the resolution of forensic cases (Kranioti et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…One fundamental disadvantage and transversal issue of these methodologies and tools is the lack of reference data for each population worldwide resulting inevitably in lower accuracy for individuals from geographic regions that are not fully represented in the software databases (Cunha & Ubelaker, 2020;Kranioti et al, 2019). In its current state AncesTrees uses as reference database a large worldwide sample of craniometric data from individuals from major populational clusters.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Accuracy of AncesTrees Software in Ancestry Estimation in Brazilian Identified Sample

Fernandes¹,

Bento²,

Rabello³

et al. 2021

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In the present study a software tool for craniometric ancestry estimation, An-cesTrees, was evaluated in an identified Brazilian skeletal sample with known self-reported ancestry. Twenty-three craniometric measures were obtained from each skull and analyzed using AncesTrees software, with two classification strategies-tournamentForest and ancestralForest algorithm. The tournament-Forest (53.54%) and ancestralForest algorithms with three ancestry groups (50.96%) were more accurate to classify Europeans, while the ancestralForest algorithm with six (50.00%) and two (67.64%) groups were more accurate to estimate the ancestry of African descents. Admixed ancestry specimens were classified predominantly as European descent. The use of the ancestralForest algorithm considering only European and African origin (58.42%) was the most accurate setup for ancestry estimation in Brazilian skulls. Supervised classification algorithms and tools such as the AncesTrees work based on data analysis and pattern matching, and there is no Brazilian sample in its database, the software showed a low accuracy Brazilian samples. The incorporation of representative craniometric data obtained from Brazilian skulls into the software database may significantly increase the accuracy of ancestry estimates.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of the Accuracy of AncesTrees Software in Ancestry Estimation in Brazilian Identified Sample

Fernandes¹,

Bento²,

Rabello³

et al. 2021

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“…5 Postcranial measurements of American and South African populations were also employed to estimate ancestry with acceptable results. 41,46 In Europe, Kranioti et al 47 used metric parameters of the tibia to estimate population affinity on 6 Mediterranean populations, achieving the highest classification rates for the Greek sample (90%). Furthermore, the subpubic angle appeared to be a useful discriminator between European and black South Africans with differences between sexes and populations being highlighted.…”

Section: Dovepressmentioning

confidence: 99%

Ancestry Estimation: Advances and Limitations in Forensic Applications

Flouri¹,

Alifragki²,

García-Donas³

et al. 2022

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Forensic anthropologists are faced with many challenges one of which is setting the grounds for the assessment of an unknown individual's population affinity, an essential element for building a biological profile that can lead to positive identification. A heavy body of literature is dealing with the topic of "race" -in early studies -or "ancestry/population affinity" -in more recent articles -in an effort to provide reliable tools for this challenging task. A great and ongoing debate exists on whether this type of classification should be done at all or whether it should be accepted as a "necessary evil". The over-simplistic categorization of people originating from vast geographical areas without taking into account micro-evolutionary and environmental factors, that are of great importance and influence population affinity, can greatly enhance social discrimination and stigma. On the other hand, it must be stressed that the point of assessing an individual's ancestry or geographic origin in a forensic context is not a matter of taxonomy or population labeling but rather an asset to the identification process, which can help narrow down possible matches from a missing persons' list. In that vein, the current paper offers an overview of different methodological approaches to the matter of ancestry estimation and aims to gather relevant information about the different approaches used, the current advances and the implications of the assessment regarding positive identification.

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“…Research using this collection has involved scholars worldwide and addressed questions principally related to skeletal age‐at‐death estimation (García‐Donas, Dyke, Paine, Nathena, & Kranioti, 2016; Michopoulou, Negre, Nikita, & Kranioti, 2017; Nikita et al, 2018), sex estimation by means of cranial and postcranial metrics (Bonczarowska, Bonicelli, Papadomanolakis, & Kranioti, 2019; Kranioti, 2019; Kranioti et al, 2008; Kranioti & Apostol, 2015; Kranioti, Bastir, Sánchez‐Meseguer, & Rosas, 2009; Kranioti, García‐Donas, & Langstaff, 2014; Kranioti, García‐Donas, Prado, Kyriakou, & Langstaff, 2017; Kranioti & Michalodimitrakis, 2009; Kranioti, Nathena, & Michalodimitrakis, 2011; Kranioti, Šťovíčková, Karell, & Brůžek, 2019; Kranioti, Vorniotakis, Galiatsou, İşcan, & Michalodimitrakis, 2009; Nathena, Michopoulou, & Kranioti, 2017; Osipov et al, 2013; Papaioannou, Kranioti, Joveneaux, Nathena, & Michalodimitrakis, 2012; Steyn & İşcan, 2008), secular changes in Cretan cranial morphology (Kranioti, 2014), and ancestry estimation based on measurements of the cranium and the long bones (Kranioti et al, 2019; Kranioti, García‐Donas, Can, & Ekizoglu, 2018). In addition, the Cretan Collection has formed part of bigger assemblages to explore nonmetric cranial variation (Almeida Prado et al, 2016) and patterns of antemortem trauma (Steyn et al, 2010).…”

Section: The Cretan Collectionmentioning

confidence: 99%

Documented skeletal collections in Greece: Composition, research, and future prospects

Nikita

2020

American J Phys Anthropol

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Documented skeletal collections constitute a key resource in forensic anthropological and bioarchaeological research as they allow both the development of methods for the estimation of various parameters of an individual's biological profile, and the examination of the accuracy of existing methods in different skeletal assemblages. The acknowledgement of the utility of documented collections is attested by the large number of such collections across the world. The current review will focus on two modern reference collections in Greece, briefly presenting their composition, the research projects in which they have been employed, and future prospects for their use.

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Metric variation of the tibia in the Mediterranean: Implications in forensic identification

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 12 publications

References 17 publications

Analysis of the Accuracy of AncesTrees Software in Ancestry Estimation in Brazilian Identified Sample

Analysis of the Accuracy of AncesTrees Software in Ancestry Estimation in Brazilian Identified Sample

Ancestry Estimation: Advances and Limitations in Forensic Applications

Documented skeletal collections in Greece: Composition, research, and future prospects

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