Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample

Detalhes bibliográficos
Autor(a) principal: Carratto, Thássia Mayra Telles
Data de Publicação: 2021
Outros Autores: Marcorin, Letícia, do Valle-Silva, Guilherme, de Oliveira, Maria Luiza Guimarães, Donadi, Eduardo Antônio, Simões, Aguinaldo Luiz, Castelli, Erick C. [UNESP], Mendes-Junior, Celso Teixeira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s00414-021-02554-7
http://hdl.handle.net/11449/207665
Resumo: Human pigmentation is a complex trait, probably involving more than 100 genes. Predicting phenotypes using SNPs present in those genes is important for forensic purpose. For this, the HIrisPlex tool was developed for eye and hair color prediction, with both models achieving high accuracy among Europeans. Its evaluation in admixed populations is important, since they present a higher frequency of intermediate phenotypes, and HIrisPlex has demonstrated limitations in such predictions; therefore, the performance of this tool may be impaired in such populations. Here, we evaluate the set of 24 markers from the HIrisPlex system in 328 individuals from Ribeirão Preto (SP) region, predicting eye and hair color and comparing the predictions with their real phenotypes. We used the HaloPlex Target Enrichment System and MiSeq Personal Sequencer platform for massively parallel sequencing. The prediction of eye and hair color was accomplished by the HIrisPlex online tool, using the default prediction settings. Ancestry was estimated using the SNPforID 34-plex to observe if and how an individual’s ancestry background would affect predictions in this admixed sample. Our sample presented major European ancestry (70.5%), followed by African (21.1%) and Native American/East Asian (8.4%). HIrisPlex presented an overall sensitivity of 0.691 for hair color prediction, with sensitivities ranging from 0.547 to 0.782. The lowest sensitivity was observed for individuals with black hair, who present a reduced European contribution (48.4%). For eye color prediction, the overall sensitivity was 0.741, with sensitivities higher than 0.85 for blue and brown eyes, although it failed in predicting intermediate eye color. Such struggle in predicting this phenotype category is in accordance with what has been seen in previous studies involving HIrisPlex. Individuals with brown eye color are more admixed, with European ancestry decreasing to 62.6%; notwithstanding that, sensitivity for brown eyes was almost 100%. Overall sensitivity increases to 0.791 when a 0.7 threshold is set, though 12.5% of the individuals become undefined. When combining eye and hair prediction, hit rates between 51.3 and 68.9% were achieved. Despite the difficulties with intermediate phenotypes, we have shown that HIrisPlex results can be very helpful when interpreted with caution.
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spelling Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sampleDNA phenotypingForensic DNA phenotypingForensic geneticsMassively parallel sequencingSNPsHuman pigmentation is a complex trait, probably involving more than 100 genes. Predicting phenotypes using SNPs present in those genes is important for forensic purpose. For this, the HIrisPlex tool was developed for eye and hair color prediction, with both models achieving high accuracy among Europeans. Its evaluation in admixed populations is important, since they present a higher frequency of intermediate phenotypes, and HIrisPlex has demonstrated limitations in such predictions; therefore, the performance of this tool may be impaired in such populations. Here, we evaluate the set of 24 markers from the HIrisPlex system in 328 individuals from Ribeirão Preto (SP) region, predicting eye and hair color and comparing the predictions with their real phenotypes. We used the HaloPlex Target Enrichment System and MiSeq Personal Sequencer platform for massively parallel sequencing. The prediction of eye and hair color was accomplished by the HIrisPlex online tool, using the default prediction settings. Ancestry was estimated using the SNPforID 34-plex to observe if and how an individual’s ancestry background would affect predictions in this admixed sample. Our sample presented major European ancestry (70.5%), followed by African (21.1%) and Native American/East Asian (8.4%). HIrisPlex presented an overall sensitivity of 0.691 for hair color prediction, with sensitivities ranging from 0.547 to 0.782. The lowest sensitivity was observed for individuals with black hair, who present a reduced European contribution (48.4%). For eye color prediction, the overall sensitivity was 0.741, with sensitivities higher than 0.85 for blue and brown eyes, although it failed in predicting intermediate eye color. Such struggle in predicting this phenotype category is in accordance with what has been seen in previous studies involving HIrisPlex. Individuals with brown eye color are more admixed, with European ancestry decreasing to 62.6%; notwithstanding that, sensitivity for brown eyes was almost 100%. Overall sensitivity increases to 0.791 when a 0.7 threshold is set, though 12.5% of the individuals become undefined. When combining eye and hair prediction, hit rates between 51.3 and 68.9% were achieved. Despite the difficulties with intermediate phenotypes, we have shown that HIrisPlex results can be very helpful when interpreted with caution.Departamento de Química Laboratório de Pesquisas Forenses e Genômicas Faculdade de Filosofia Ciências e Letras de Ribeirão Preto Universidade de São Paulo, Av. Bandeirantes, 3900Departamento de Genética Faculdade de Medicina de Ribeirão Preto Universidade de São PauloDivisão de Imunologia Clínica Departamento de Clínica Médica Faculdade de Medicina de Ribeirão Preto Universidade de São PauloDepartamento de Patologia Faculdade de Medicina de Botucatu Unesp - Universidade Estadual PaulistaDepartamento de Patologia Faculdade de Medicina de Botucatu Unesp - Universidade Estadual PaulistaUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Carratto, Thássia Mayra TellesMarcorin, Letíciado Valle-Silva, Guilhermede Oliveira, Maria Luiza GuimarãesDonadi, Eduardo AntônioSimões, Aguinaldo LuizCastelli, Erick C. [UNESP]Mendes-Junior, Celso Teixeira2021-06-25T10:58:54Z2021-06-25T10:58:54Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s00414-021-02554-7International Journal of Legal Medicine.1437-15960937-9827http://hdl.handle.net/11449/20766510.1007/s00414-021-02554-72-s2.0-85104982096Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Legal Medicineinfo:eu-repo/semantics/openAccess2024-09-03T13:15:27Zoai:repositorio.unesp.br:11449/207665Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-03T13:15:27Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
title Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
spellingShingle Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
Carratto, Thássia Mayra Telles
DNA phenotyping
Forensic DNA phenotyping
Forensic genetics
Massively parallel sequencing
SNPs
title_short Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
title_full Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
title_fullStr Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
title_full_unstemmed Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
title_sort Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
author Carratto, Thássia Mayra Telles
author_facet Carratto, Thássia Mayra Telles
Marcorin, Letícia
do Valle-Silva, Guilherme
de Oliveira, Maria Luiza Guimarães
Donadi, Eduardo Antônio
Simões, Aguinaldo Luiz
Castelli, Erick C. [UNESP]
Mendes-Junior, Celso Teixeira
author_role author
author2 Marcorin, Letícia
do Valle-Silva, Guilherme
de Oliveira, Maria Luiza Guimarães
Donadi, Eduardo Antônio
Simões, Aguinaldo Luiz
Castelli, Erick C. [UNESP]
Mendes-Junior, Celso Teixeira
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Carratto, Thássia Mayra Telles
Marcorin, Letícia
do Valle-Silva, Guilherme
de Oliveira, Maria Luiza Guimarães
Donadi, Eduardo Antônio
Simões, Aguinaldo Luiz
Castelli, Erick C. [UNESP]
Mendes-Junior, Celso Teixeira
dc.subject.por.fl_str_mv DNA phenotyping
Forensic DNA phenotyping
Forensic genetics
Massively parallel sequencing
SNPs
topic DNA phenotyping
Forensic DNA phenotyping
Forensic genetics
Massively parallel sequencing
SNPs
description Human pigmentation is a complex trait, probably involving more than 100 genes. Predicting phenotypes using SNPs present in those genes is important for forensic purpose. For this, the HIrisPlex tool was developed for eye and hair color prediction, with both models achieving high accuracy among Europeans. Its evaluation in admixed populations is important, since they present a higher frequency of intermediate phenotypes, and HIrisPlex has demonstrated limitations in such predictions; therefore, the performance of this tool may be impaired in such populations. Here, we evaluate the set of 24 markers from the HIrisPlex system in 328 individuals from Ribeirão Preto (SP) region, predicting eye and hair color and comparing the predictions with their real phenotypes. We used the HaloPlex Target Enrichment System and MiSeq Personal Sequencer platform for massively parallel sequencing. The prediction of eye and hair color was accomplished by the HIrisPlex online tool, using the default prediction settings. Ancestry was estimated using the SNPforID 34-plex to observe if and how an individual’s ancestry background would affect predictions in this admixed sample. Our sample presented major European ancestry (70.5%), followed by African (21.1%) and Native American/East Asian (8.4%). HIrisPlex presented an overall sensitivity of 0.691 for hair color prediction, with sensitivities ranging from 0.547 to 0.782. The lowest sensitivity was observed for individuals with black hair, who present a reduced European contribution (48.4%). For eye color prediction, the overall sensitivity was 0.741, with sensitivities higher than 0.85 for blue and brown eyes, although it failed in predicting intermediate eye color. Such struggle in predicting this phenotype category is in accordance with what has been seen in previous studies involving HIrisPlex. Individuals with brown eye color are more admixed, with European ancestry decreasing to 62.6%; notwithstanding that, sensitivity for brown eyes was almost 100%. Overall sensitivity increases to 0.791 when a 0.7 threshold is set, though 12.5% of the individuals become undefined. When combining eye and hair prediction, hit rates between 51.3 and 68.9% were achieved. Despite the difficulties with intermediate phenotypes, we have shown that HIrisPlex results can be very helpful when interpreted with caution.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T10:58:54Z
2021-06-25T10:58:54Z
2021-01-01
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/10.1007/s00414-021-02554-7
International Journal of Legal Medicine.
1437-1596
0937-9827
http://hdl.handle.net/11449/207665
10.1007/s00414-021-02554-7
2-s2.0-85104982096
url http://dx.doi.org/10.1007/s00414-021-02554-7
http://hdl.handle.net/11449/207665
identifier_str_mv International Journal of Legal Medicine.
1437-1596
0937-9827
10.1007/s00414-021-02554-7
2-s2.0-85104982096
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Legal Medicine
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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 repositoriounesp@unesp.br
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