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Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample

2023Journal article Open access
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dc.contributor.authorJacometti, Victor
dc.contributor.authorGuimarães, Marco Aurelio
dc.contributor.authorde Moraes, Luis Otávio Carvalho
dc.contributor.authorMarques, Sérgio Ricardo
dc.contributor.authorCunha, Eugénia
dc.contributor.authorda Silva, Ricardo Henrique Alves
dc.date.accessioned2024-01-18T18:23:12Z
dc.date.available2024-01-18T18:23:12Z
dc.date.issued2023
dc.description.abstractThe objective of this study is to analyze the accuracy and applicability of the AncesTrees software with respect to a set of cranial measurements of a Brazilian sample consisting of 114 identified skulls from two osteological collections, predominantly composed of European (n = 59), African (n = 35), and admixed individuals (n = 20). Twenty-four different craniometric measurements are performed and input to AncesTrees via two algorithms, one of which is used in three configurations, with different ancestral groups integrated in the model. The software exhibits superior performance in the estimation of European individuals, reaching 73% accuracy, compared with 66% in the African individuals. Those individuals classified as admixed produce a variety of ancestral classifications, mainly European. Overall, the most accurate combination of AncesTrees is obtained using ancestralForest with only the European and African groups integrated into the algorithm, where the accuracy reaches 70%. The applicability of this software to a specific population is fragile because of the high admixing load, making it necessary to create a more representative anthropometric database of the Brazilian people. Key points: Ancestry estimation methods are seldom validated in Brazil.AncesTrees performed poorly on our sample, with a maximum accuracy of 70%.Brazil's highly mixed population hinders ancestry estimation.Mixed individuals (pardos) are predominantly classified as Europeans.The insertion of Brazilian metric data into the AncesTrees database would produce better results.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1093/fsr/owad030pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/49128
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherOxford University Presspt_PT
dc.relation.publisherversionhttps://academic.oup.com/fsr/article/8/3/202/7280735pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectForensic Anthropologypt_PT
dc.subjectAncestry Estimationpt_PT
dc.subjectBiological profile estimationpt_PT
dc.subjectBrazilianpt_PT
dc.subjectCraniometrypt_PT
dc.titleAncestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian samplept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage210pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage202pt_PT
oaire.citation.titleForensic Sciences Researchpt_PT
oaire.citation.volume8pt_PT
person.familyNameCunha
person.givenNameEugénia
person.identifierhttps://scholar.google.pt/citations?user=HSGHLA0AAAAJ&hl=en
person.identifier.ciencia-idE717-5464-E13B
person.identifier.orcid0000-0003-2998-371X
person.identifier.scopus-author-id190305008042
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication32c59c7d-e7f2-4023-91a0-677db952e161
relation.isAuthorOfPublication.latestForDiscovery32c59c7d-e7f2-4023-91a0-677db952e161

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