Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center
Main Author: | |
---|---|
Publication Date: | 2021 |
Other Authors: | , , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.16/2839 |
Summary: | Next-generation sequencing (NGS) technologies have been proposed as a first-line test for the diagnosis of inborn errors of metabolism (IEM), a group of genetically heterogeneous disorders with overlapping or nonspecific phenotypes. Over a 3-year period, we prospectively analyzed 311 pediatric patients with a suspected IEM using four targeted gene panels. The rate of positive diagnosis was 61.86% for intermediary metabolism defects, 32.84% for complex molecular defects, 19% for hypoglycemic/hyperglycemic events, and 17% for mitochondrial diseases, and a conclusive molecular diagnosis was established in 2-4 weeks. Forty-one patients for whom negative results were obtained with the mitochondrial diseases panel underwent subsequent analyses using the NeuroSeq panel, which groups all genes from the individual panels together with genes associated with neurological disorders (1870 genes in total). This achieved a diagnostic rate of 32%. We next evaluated the utility of a tool, Phenomizer, for differential diagnosis, and established a correlation between phenotype and molecular findings in 39.3% of patients. Finally, we evaluated the mutational architecture of the genes analyzed by determining z-scores, loss-of-function observed/expected upper bound fraction (LOEUF), and haploinsufficiency (HI) scores. In summary, targeted gene panels for specific groups of IEMs enabled rapid and effective diagnosis, which is critical for the therapeutic management of IEM patients. |
id |
RCAP_ff2d9cc32f372f3c22c1be50f80c93c8 |
---|---|
oai_identifier_str |
oai:repositorio.chporto.pt:10400.16/2839 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Centerdifferential diagnosisgenetic diagnosisinborn errors of metabolismNext-generation sequencing (NGS) technologies have been proposed as a first-line test for the diagnosis of inborn errors of metabolism (IEM), a group of genetically heterogeneous disorders with overlapping or nonspecific phenotypes. Over a 3-year period, we prospectively analyzed 311 pediatric patients with a suspected IEM using four targeted gene panels. The rate of positive diagnosis was 61.86% for intermediary metabolism defects, 32.84% for complex molecular defects, 19% for hypoglycemic/hyperglycemic events, and 17% for mitochondrial diseases, and a conclusive molecular diagnosis was established in 2-4 weeks. Forty-one patients for whom negative results were obtained with the mitochondrial diseases panel underwent subsequent analyses using the NeuroSeq panel, which groups all genes from the individual panels together with genes associated with neurological disorders (1870 genes in total). This achieved a diagnostic rate of 32%. We next evaluated the utility of a tool, Phenomizer, for differential diagnosis, and established a correlation between phenotype and molecular findings in 39.3% of patients. Finally, we evaluated the mutational architecture of the genes analyzed by determining z-scores, loss-of-function observed/expected upper bound fraction (LOEUF), and haploinsufficiency (HI) scores. In summary, targeted gene panels for specific groups of IEMs enabled rapid and effective diagnosis, which is critical for the therapeutic management of IEM patients.MDPIRepositório Científico da Unidade Local de Saúde de Santo AntónioBarbosa-Gouveia, SofiaVázquez-Mosquera, María E.González-Vioque, EmilianoÁlvarez, José V.Chans, RoiLaranjeira, FranciscoMartins, EsmeraldaFerreira, Ana CristinaAvila-Alvarez, AlejandroCouce, María L.2023-10-24T09:16:35Z2021-082021-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.16/2839eng2073-442510.3390/genes12081262info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T10:06:35Zoai:repositorio.chporto.pt:10400.16/2839Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:18:40.463870Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center |
title |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center |
spellingShingle |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center Barbosa-Gouveia, Sofia differential diagnosis genetic diagnosis inborn errors of metabolism |
title_short |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center |
title_full |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center |
title_fullStr |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center |
title_full_unstemmed |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center |
title_sort |
Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center |
author |
Barbosa-Gouveia, Sofia |
author_facet |
Barbosa-Gouveia, Sofia Vázquez-Mosquera, María E. González-Vioque, Emiliano Álvarez, José V. Chans, Roi Laranjeira, Francisco Martins, Esmeralda Ferreira, Ana Cristina Avila-Alvarez, Alejandro Couce, María L. |
author_role |
author |
author2 |
Vázquez-Mosquera, María E. González-Vioque, Emiliano Álvarez, José V. Chans, Roi Laranjeira, Francisco Martins, Esmeralda Ferreira, Ana Cristina Avila-Alvarez, Alejandro Couce, María L. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico da Unidade Local de Saúde de Santo António |
dc.contributor.author.fl_str_mv |
Barbosa-Gouveia, Sofia Vázquez-Mosquera, María E. González-Vioque, Emiliano Álvarez, José V. Chans, Roi Laranjeira, Francisco Martins, Esmeralda Ferreira, Ana Cristina Avila-Alvarez, Alejandro Couce, María L. |
dc.subject.por.fl_str_mv |
differential diagnosis genetic diagnosis inborn errors of metabolism |
topic |
differential diagnosis genetic diagnosis inborn errors of metabolism |
description |
Next-generation sequencing (NGS) technologies have been proposed as a first-line test for the diagnosis of inborn errors of metabolism (IEM), a group of genetically heterogeneous disorders with overlapping or nonspecific phenotypes. Over a 3-year period, we prospectively analyzed 311 pediatric patients with a suspected IEM using four targeted gene panels. The rate of positive diagnosis was 61.86% for intermediary metabolism defects, 32.84% for complex molecular defects, 19% for hypoglycemic/hyperglycemic events, and 17% for mitochondrial diseases, and a conclusive molecular diagnosis was established in 2-4 weeks. Forty-one patients for whom negative results were obtained with the mitochondrial diseases panel underwent subsequent analyses using the NeuroSeq panel, which groups all genes from the individual panels together with genes associated with neurological disorders (1870 genes in total). This achieved a diagnostic rate of 32%. We next evaluated the utility of a tool, Phenomizer, for differential diagnosis, and established a correlation between phenotype and molecular findings in 39.3% of patients. Finally, we evaluated the mutational architecture of the genes analyzed by determining z-scores, loss-of-function observed/expected upper bound fraction (LOEUF), and haploinsufficiency (HI) scores. In summary, targeted gene panels for specific groups of IEMs enabled rapid and effective diagnosis, which is critical for the therapeutic management of IEM patients. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08 2021-08-01T00:00:00Z 2023-10-24T09:16:35Z |
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://hdl.handle.net/10400.16/2839 |
url |
http://hdl.handle.net/10400.16/2839 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2073-4425 10.3390/genes12081262 |
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.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833599210583228416 |