Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
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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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 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
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 instacron:RCAAP |
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 |
repository.mail.fl_str_mv |
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