Phenotype-oriented NGS panels for mucopolysaccharidoses : validation and potential use in the diagnostic flowchart
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
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. |
id |
UFRGS-2_470c32f8e60e411f2304e60e1e36ef87 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/201045 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
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. 261-285MucopolissacaridosesDoenças por armazenamento dos lisossomosMutaçãoLysosomal 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.pdf61b38cde7446a722a7ffc12bffbda41dMD5110183/2010452024-08-07 06:16:11.288434oai:www.lume.ufrgs.br:10183/201045Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2024-08-07T09:16:11Repositório 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 Doenças por armazenamento dos lisossomos 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 Doenças por armazenamento dos lisossomos Mutação |
topic |
Mucopolissacaridoses Doenças por armazenamento dos lisossomos 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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/201045 |
dc.identifier.issn.pt_BR.fl_str_mv |
1415-4757 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001101798 |
identifier_str_mv |
1415-4757 001101798 |
url |
http://hdl.handle.net/10183/201045 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Genetics and molecular biology. Ribeirão Preto. Vol. 42, n. 1, suppl. 1 (2019), p. 261-285 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/201045/2/001101798.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/201045/1/001101798.pdf |
bitstream.checksum.fl_str_mv |
0b9d259191ee62b0f55e292e59f9b8b4 61b38cde7446a722a7ffc12bffbda41d |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
lume@ufrgs.br |
_version_ |
1817725056937099264 |