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

Detalhes bibliográficos
Autor(a) principal: Jacometti, Victor
Data de Publicação: 2023
Outros Autores: Guimarães, Marco Aurelio, de Moraes, Luis Otávio Carvalho, Marques, Sérgio Ricardo, Cunha, Eugénia, da Silva, Ricardo Henrique Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/49128
https://doi.org/10.1093/fsr/owad030
Resumo: The 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.
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spelling Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sampleForensic anthropologyAncestry estimationBiological profile estimationBrazilianCraniometryThe 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.info:eu-repo/semantics/publishedVersionOxford University Press2024-01-18T18:23:12Z2024-01-182023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10400.26/49128http://hdl.handle.net/10400.26/49128https://doi.org/10.1093/fsr/owad030enghttps://academic.oup.com/fsr/article/8/3/202/7280735http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessJacometti, VictorGuimarães, Marco Aureliode Moraes, Luis Otávio CarvalhoMarques, Sérgio RicardoCunha, Eugéniada Silva, Ricardo Henrique Alvesreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-03T04:22:42Zoai:comum.rcaap.pt:10400.26/49128Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:07:52.714926Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
title Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
spellingShingle Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
Jacometti, Victor
Forensic anthropology
Ancestry estimation
Biological profile estimation
Brazilian
Craniometry
title_short Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
title_full Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
title_fullStr Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
title_full_unstemmed Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
title_sort Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
author Jacometti, Victor
author_facet Jacometti, Victor
Guimarães, Marco Aurelio
de Moraes, Luis Otávio Carvalho
Marques, Sérgio Ricardo
Cunha, Eugénia
da Silva, Ricardo Henrique Alves
author_role author
author2 Guimarães, Marco Aurelio
de Moraes, Luis Otávio Carvalho
Marques, Sérgio Ricardo
Cunha, Eugénia
da Silva, Ricardo Henrique Alves
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Jacometti, Victor
Guimarães, Marco Aurelio
de Moraes, Luis Otávio Carvalho
Marques, Sérgio Ricardo
Cunha, Eugénia
da Silva, Ricardo Henrique Alves
dc.subject.por.fl_str_mv Forensic anthropology
Ancestry estimation
Biological profile estimation
Brazilian
Craniometry
topic Forensic anthropology
Ancestry estimation
Biological profile estimation
Brazilian
Craniometry
description The 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-01T00:00:00Z
2024-01-18T18:23:12Z
2024-01-18
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/49128
http://hdl.handle.net/10400.26/49128
https://doi.org/10.1093/fsr/owad030
url http://hdl.handle.net/10400.26/49128
https://doi.org/10.1093/fsr/owad030
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://academic.oup.com/fsr/article/8/3/202/7280735
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info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
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dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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