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Phenotype-oriented NGS panels for mucopolysaccharidoses: Validation and potential use in the diagnostic flowchart
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 lysoso...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687349/ https://www.ncbi.nlm.nih.gov/pubmed/30985855 http://dx.doi.org/10.1590/1678-4685-GMB-2018-0102 |
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author | Brusius-Facchin, Ana Carolina Siebert, Marina Leão, Delva Malaga, Diana Rojas Pasqualim, Gabriela Trapp, Franciele Matte, Ursula Giugliani, Roberto Leistner-Segal, Sandra |
author_facet | Brusius-Facchin, Ana Carolina Siebert, Marina Leão, Delva Malaga, Diana Rojas Pasqualim, Gabriela Trapp, Franciele Matte, Ursula Giugliani, Roberto Leistner-Segal, Sandra |
author_sort | Brusius-Facchin, Ana Carolina |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6687349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
spelling | pubmed-66873492019-08-23 Phenotype-oriented NGS panels for mucopolysaccharidoses: Validation and potential use in the diagnostic flowchart Brusius-Facchin, Ana Carolina Siebert, Marina Leão, Delva Malaga, Diana Rojas Pasqualim, Gabriela Trapp, Franciele Matte, Ursula Giugliani, Roberto Leistner-Segal, Sandra Genet Mol Biol Articles 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. Sociedade Brasileira de Genética 2019-04-11 2019 /pmc/articles/PMC6687349/ /pubmed/30985855 http://dx.doi.org/10.1590/1678-4685-GMB-2018-0102 Text en Copyright © 2019, Sociedade Brasileira de Genética. https://creativecommons.org/licenses/by/4.0/ License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (type CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original article is properly cited. |
spellingShingle | Articles Brusius-Facchin, Ana Carolina Siebert, Marina Leão, Delva Malaga, Diana Rojas Pasqualim, Gabriela Trapp, Franciele Matte, Ursula Giugliani, Roberto Leistner-Segal, Sandra 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 |
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_short | 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 |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687349/ https://www.ncbi.nlm.nih.gov/pubmed/30985855 http://dx.doi.org/10.1590/1678-4685-GMB-2018-0102 |
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