Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.fsigen.2019.03.003 http://hdl.handle.net/11449/189698 |
Resumo: | SNP analysis is of paramount importance in forensic genetics. The development of new technologies in next-generation sequencing allowed processing a large number of markers in various samples simultaneously. Although SNPs are less informative than STRs, they present lower mutation rates and perform better when using degraded samples. Some SNP systems were developed for forensic usage, such as the SNPforID 52-plex, from the SNPforID Consortium, containing 52 bi-allelic SNPs for human identification. In this paper we evaluated the informativeness of this system in a Brazilian population sample (n = 340). DNA libraries were prepared using a customized HaloPlex Target Enrichment System kit (Agilent Technologies, Inc.) and sequenced in the MiSeq Personal Sequencer platform (Illumina Inc.). The methodology presented here allowed the analysis of 51 out of 52 SNPforID markers. Allele frequencies and forensic parameters were estimated, revealing high informativeness: the combined match probability and power of exclusion were 6.48 × 10 −21 and 0.9997, respectively. Population admixture analysis indicates high European contribution (more than 70%) and low Amerindian contribution (less than 10%) in our population, while individual admixture analyses were consistent with the majority of individuals presenting high European contribution. This study demonstrates that the 52-plex kit is suitable for forensic cases in a Brazilian population, presenting results comparable with those obtained using a 16 STR panel. |
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Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencingBrazilForensic geneticsGenetic admixtureMassively-parallel sequencingSNPforID 52-plexSNPsSNP analysis is of paramount importance in forensic genetics. The development of new technologies in next-generation sequencing allowed processing a large number of markers in various samples simultaneously. Although SNPs are less informative than STRs, they present lower mutation rates and perform better when using degraded samples. Some SNP systems were developed for forensic usage, such as the SNPforID 52-plex, from the SNPforID Consortium, containing 52 bi-allelic SNPs for human identification. In this paper we evaluated the informativeness of this system in a Brazilian population sample (n = 340). DNA libraries were prepared using a customized HaloPlex Target Enrichment System kit (Agilent Technologies, Inc.) and sequenced in the MiSeq Personal Sequencer platform (Illumina Inc.). The methodology presented here allowed the analysis of 51 out of 52 SNPforID markers. Allele frequencies and forensic parameters were estimated, revealing high informativeness: the combined match probability and power of exclusion were 6.48 × 10 −21 and 0.9997, respectively. Population admixture analysis indicates high European contribution (more than 70%) and low Amerindian contribution (less than 10%) in our population, while individual admixture analyses were consistent with the majority of individuals presenting high European contribution. This study demonstrates that the 52-plex kit is suitable for forensic cases in a Brazilian population, presenting results comparable with those obtained using a 16 STR panel.National Institute of JusticeFundação de Amparo à Pesquisa do Estado de GoiásCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Natural Sciences and Engineering Research Council of CanadaDepartamento de Química Laboratório de Pesquisas Forenses e Genômicas Faculdade de Filosofia Ciências e Letras de Ribeirão Preto Universidade de São PauloDepartamento de Genética Faculdade de Medicina de Ribeirão Preto Universidade de São PauloDepartment of Anthropology University of Toronto at MississaugaMolecular Oncology Research Center Barretos Cancer HospitalDivisão de Imunologia Clínica Departamento de Clínica Médica Faculdade de Medicina de Ribeirão Preto Universidade de São PauloDepartment of Anthropology University of CincinnatiSão Paulo State University (UNESP) Department of Pathology School of MedicineSão Paulo State University (UNESP) Department of Pathology School of MedicineNational Institute of Justice: # 2013-DN-BX-K011Fundação de Amparo à Pesquisa do Estado de Goiás: #2013/15447-0CAPES: #302590/2016-1CNPq: #448242/2014-1CAPES: (#304931/2014-1CAPES: (#309572/2014-2Universidade de São Paulo (USP)University of Toronto at MississaugaBarretos Cancer HospitalUniversity of CincinnatiUniversidade Estadual Paulista (Unesp)Valle-Silva, Guilherme doSouza, Flávia Djenane Nunes deMarcorin, LetíciaPereira, Alison Luis EburneoCarratto, Thássia Mayra TellesDebortoli, GuilhermeOliveira, Maria Luiza Guimarães deFracasso, Nádia Carolina de AguiarAndrade, Edilene Santos deDonadi, Eduardo AntônioNorton, Heather L.Parra, Esteban J.Simões, Aguinaldo LuizCastelli, Erick C. [UNESP]Mendes-Junior, Celso Teixeira2019-10-06T16:49:19Z2019-10-06T16:49:19Z2019-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article201-209http://dx.doi.org/10.1016/j.fsigen.2019.03.003Forensic Science International: Genetics, v. 40, p. 201-209.1878-03261872-4973http://hdl.handle.net/11449/18969810.1016/j.fsigen.2019.03.0032-s2.0-85062916063Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengForensic Science International: Geneticsinfo:eu-repo/semantics/openAccess2021-10-22T19:11:01Zoai:repositorio.unesp.br:11449/189698Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:38:58.638328Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing |
title |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing |
spellingShingle |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing Valle-Silva, Guilherme do Brazil Forensic genetics Genetic admixture Massively-parallel sequencing SNPforID 52-plex SNPs |
title_short |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing |
title_full |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing |
title_fullStr |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing |
title_full_unstemmed |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing |
title_sort |
Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing |
author |
Valle-Silva, Guilherme do |
author_facet |
Valle-Silva, Guilherme do Souza, Flávia Djenane Nunes de Marcorin, Letícia Pereira, Alison Luis Eburneo Carratto, Thássia Mayra Telles Debortoli, Guilherme Oliveira, Maria Luiza Guimarães de Fracasso, Nádia Carolina de Aguiar Andrade, Edilene Santos de Donadi, Eduardo Antônio Norton, Heather L. Parra, Esteban J. Simões, Aguinaldo Luiz Castelli, Erick C. [UNESP] Mendes-Junior, Celso Teixeira |
author_role |
author |
author2 |
Souza, Flávia Djenane Nunes de Marcorin, Letícia Pereira, Alison Luis Eburneo Carratto, Thássia Mayra Telles Debortoli, Guilherme Oliveira, Maria Luiza Guimarães de Fracasso, Nádia Carolina de Aguiar Andrade, Edilene Santos de Donadi, Eduardo Antônio Norton, Heather L. Parra, Esteban J. Simões, Aguinaldo Luiz Castelli, Erick C. [UNESP] Mendes-Junior, Celso Teixeira |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) University of Toronto at Mississauga Barretos Cancer Hospital University of Cincinnati Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Valle-Silva, Guilherme do Souza, Flávia Djenane Nunes de Marcorin, Letícia Pereira, Alison Luis Eburneo Carratto, Thássia Mayra Telles Debortoli, Guilherme Oliveira, Maria Luiza Guimarães de Fracasso, Nádia Carolina de Aguiar Andrade, Edilene Santos de Donadi, Eduardo Antônio Norton, Heather L. Parra, Esteban J. Simões, Aguinaldo Luiz Castelli, Erick C. [UNESP] Mendes-Junior, Celso Teixeira |
dc.subject.por.fl_str_mv |
Brazil Forensic genetics Genetic admixture Massively-parallel sequencing SNPforID 52-plex SNPs |
topic |
Brazil Forensic genetics Genetic admixture Massively-parallel sequencing SNPforID 52-plex SNPs |
description |
SNP analysis is of paramount importance in forensic genetics. The development of new technologies in next-generation sequencing allowed processing a large number of markers in various samples simultaneously. Although SNPs are less informative than STRs, they present lower mutation rates and perform better when using degraded samples. Some SNP systems were developed for forensic usage, such as the SNPforID 52-plex, from the SNPforID Consortium, containing 52 bi-allelic SNPs for human identification. In this paper we evaluated the informativeness of this system in a Brazilian population sample (n = 340). DNA libraries were prepared using a customized HaloPlex Target Enrichment System kit (Agilent Technologies, Inc.) and sequenced in the MiSeq Personal Sequencer platform (Illumina Inc.). The methodology presented here allowed the analysis of 51 out of 52 SNPforID markers. Allele frequencies and forensic parameters were estimated, revealing high informativeness: the combined match probability and power of exclusion were 6.48 × 10 −21 and 0.9997, respectively. Population admixture analysis indicates high European contribution (more than 70%) and low Amerindian contribution (less than 10%) in our population, while individual admixture analyses were consistent with the majority of individuals presenting high European contribution. This study demonstrates that the 52-plex kit is suitable for forensic cases in a Brazilian population, presenting results comparable with those obtained using a 16 STR panel. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T16:49:19Z 2019-10-06T16:49:19Z 2019-05-01 |
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://dx.doi.org/10.1016/j.fsigen.2019.03.003 Forensic Science International: Genetics, v. 40, p. 201-209. 1878-0326 1872-4973 http://hdl.handle.net/11449/189698 10.1016/j.fsigen.2019.03.003 2-s2.0-85062916063 |
url |
http://dx.doi.org/10.1016/j.fsigen.2019.03.003 http://hdl.handle.net/11449/189698 |
identifier_str_mv |
Forensic Science International: Genetics, v. 40, p. 201-209. 1878-0326 1872-4973 10.1016/j.fsigen.2019.03.003 2-s2.0-85062916063 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Forensic Science International: Genetics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
201-209 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808129343827738624 |