Prediction of eye and hair pigmentation phenotypes using the HIrisPlex system in a Brazilian admixed population sample
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
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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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 |
_version_ |
1810021392694902784 |