Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart

Detalhes bibliográficos
Autor(a) principal: Fachin, Ana Carolina Brusius
Data de Publicação: 2019
Outros Autores: Siebert, Marina, Leão, Delva Pereira, Málaga, Diana Elizabeth Rojas, Pasqualim, Gabriela, Trapp, Franciele Barbosa, Matte, Ursula da Silveira, Giugliani, Roberto, Leistner-Segal, Sandra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/201045
Resumo: Mucopolysaccharidosis (MPS) are a group of rare genetic disorders caused by deficiency in the activity of specific lysosomal enzymes required for the degradation of glycosaminoglycans (GAGs). A defect in the activity of these enzymes will result in the abnormal accumulation of GAGs inside the lysosomes of most cells, inducing progressive cellular damage and multiple organ failure. DNA samples from 70 patients with biochemical diagnosis of different MPSs genotypes confirmed by Sanger sequencing were used to evaluate a Next Generation Sequencing (NGS) protocol. Eleven genes related to MPSs were divided into three different panels according to the clinical phenotype. This strategy led to the identification of several pathogenic mutations distributed across all exons of MPSs-related genes. We were able to identify 96% of all gene variants previously identified by Sanger sequencing, showing high sensitivity in detecting different types of mutations. Furthermore, new variants were not identified, representing 100% specificity of the NGS protocol. The use of this NGS approach for genotype identification in MPSs is an attractive option for diagnosis of patients. In addition, the MPS diagnosis workflow could be divided in a two-tier approach: NGS as a first-tier followed by biochemical confirmation as a second-tier.
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spelling Fachin, Ana Carolina BrusiusSiebert, MarinaLeão, Delva PereiraMálaga, Diana Elizabeth RojasPasqualim, GabrielaTrapp, Franciele BarbosaMatte, Ursula da SilveiraGiugliani, RobertoLeistner-Segal, Sandra2019-10-26T03:50:23Z20191415-4757http://hdl.handle.net/10183/201045001101798Mucopolysaccharidosis (MPS) are a group of rare genetic disorders caused by deficiency in the activity of specific lysosomal enzymes required for the degradation of glycosaminoglycans (GAGs). A defect in the activity of these enzymes will result in the abnormal accumulation of GAGs inside the lysosomes of most cells, inducing progressive cellular damage and multiple organ failure. DNA samples from 70 patients with biochemical diagnosis of different MPSs genotypes confirmed by Sanger sequencing were used to evaluate a Next Generation Sequencing (NGS) protocol. Eleven genes related to MPSs were divided into three different panels according to the clinical phenotype. This strategy led to the identification of several pathogenic mutations distributed across all exons of MPSs-related genes. We were able to identify 96% of all gene variants previously identified by Sanger sequencing, showing high sensitivity in detecting different types of mutations. Furthermore, new variants were not identified, representing 100% specificity of the NGS protocol. The use of this NGS approach for genotype identification in MPSs is an attractive option for diagnosis of patients. In addition, the MPS diagnosis workflow could be divided in a two-tier approach: NGS as a first-tier followed by biochemical confirmation as a second-tier.application/pdfengGenetics and molecular biology. Ribeirão Preto. Vol. 42, n. 1, suppl. 1 (2019), p. 261-285MucopolissacaridosesDoença de depósito lisossomalMutaçãoLysosomal storage diseaseMucopolysaccharidosesNext generation sequencingTarget sequenceMutation detectionPhenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchartinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001101798.pdf.txt001101798.pdf.txtExtracted Texttext/plain29510http://www.lume.ufrgs.br/bitstream/10183/201045/2/001101798.pdf.txt0b9d259191ee62b0f55e292e59f9b8b4MD52ORIGINAL001101798.pdfTexto completo (inglês)application/pdf1058163http://www.lume.ufrgs.br/bitstream/10183/201045/1/001101798.pdf61b38cde7446a722a7ffc12bffbda41dMD5110183/2010452023-11-15 04:26:05.461454oai:www.lume.ufrgs.br:10183/201045Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-11-15T06:26:05Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
title Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
spellingShingle Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
Fachin, Ana Carolina Brusius
Mucopolissacaridoses
Doença de depósito lisossomal
Mutação
Lysosomal storage disease
Mucopolysaccharidoses
Next generation sequencing
Target sequence
Mutation detection
title_short Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
title_full Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
title_fullStr Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
title_full_unstemmed Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
title_sort Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
author Fachin, Ana Carolina Brusius
author_facet Fachin, Ana Carolina Brusius
Siebert, Marina
Leão, Delva Pereira
Málaga, Diana Elizabeth Rojas
Pasqualim, Gabriela
Trapp, Franciele Barbosa
Matte, Ursula da Silveira
Giugliani, Roberto
Leistner-Segal, Sandra
author_role author
author2 Siebert, Marina
Leão, Delva Pereira
Málaga, Diana Elizabeth Rojas
Pasqualim, Gabriela
Trapp, Franciele Barbosa
Matte, Ursula da Silveira
Giugliani, Roberto
Leistner-Segal, Sandra
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fachin, Ana Carolina Brusius
Siebert, Marina
Leão, Delva Pereira
Málaga, Diana Elizabeth Rojas
Pasqualim, Gabriela
Trapp, Franciele Barbosa
Matte, Ursula da Silveira
Giugliani, Roberto
Leistner-Segal, Sandra
dc.subject.por.fl_str_mv Mucopolissacaridoses
Doença de depósito lisossomal
Mutação
topic Mucopolissacaridoses
Doença de depósito lisossomal
Mutação
Lysosomal storage disease
Mucopolysaccharidoses
Next generation sequencing
Target sequence
Mutation detection
dc.subject.eng.fl_str_mv Lysosomal storage disease
Mucopolysaccharidoses
Next generation sequencing
Target sequence
Mutation detection
description Mucopolysaccharidosis (MPS) are a group of rare genetic disorders caused by deficiency in the activity of specific lysosomal enzymes required for the degradation of glycosaminoglycans (GAGs). A defect in the activity of these enzymes will result in the abnormal accumulation of GAGs inside the lysosomes of most cells, inducing progressive cellular damage and multiple organ failure. DNA samples from 70 patients with biochemical diagnosis of different MPSs genotypes confirmed by Sanger sequencing were used to evaluate a Next Generation Sequencing (NGS) protocol. Eleven genes related to MPSs were divided into three different panels according to the clinical phenotype. This strategy led to the identification of several pathogenic mutations distributed across all exons of MPSs-related genes. We were able to identify 96% of all gene variants previously identified by Sanger sequencing, showing high sensitivity in detecting different types of mutations. Furthermore, new variants were not identified, representing 100% specificity of the NGS protocol. The use of this NGS approach for genotype identification in MPSs is an attractive option for diagnosis of patients. In addition, the MPS diagnosis workflow could be divided in a two-tier approach: NGS as a first-tier followed by biochemical confirmation as a second-tier.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-10-26T03:50:23Z
dc.date.issued.fl_str_mv 2019
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dc.identifier.issn.pt_BR.fl_str_mv 1415-4757
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dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv Genetics and molecular biology. Ribeirão Preto. Vol. 42, n. 1, suppl. 1 (2019), p. 261-285
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dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
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institution UFRGS
reponame_str Repositório Institucional da UFRGS
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