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Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center

dc.contributor.authorBarbosa-Gouveia, Sofia
dc.contributor.authorVázquez-Mosquera, María E.
dc.contributor.authorGonzález-Vioque, Emiliano
dc.contributor.authorÁlvarez, José V.
dc.contributor.authorChans, Roi
dc.contributor.authorLaranjeira, Francisco
dc.contributor.authorMartins, Esmeralda
dc.contributor.authorFerreira, Ana Cristina
dc.contributor.authorAvila-Alvarez, Alejandro
dc.contributor.authorCouce, María L.
dc.date.accessioned2023-10-24T09:16:35Z
dc.date.available2023-10-24T09:16:35Z
dc.date.issued2021-08
dc.description.abstractNext-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.pt_PT
dc.description.sponsorshipThis study was supported with a grant from ISCIII (PI13/02177)pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBarbosa-Gouveia S, Vázquez-Mosquera ME, González-Vioque E, et al. Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center. Genes (Basel). 2021;12(8):1262. doi:10.3390/genes12081262pt_PT
dc.identifier.doi10.3390/genes12081262pt_PT
dc.identifier.issn2073-4425
dc.identifier.urihttp://hdl.handle.net/10400.16/2839
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2073-4425/12/8/1262pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectdifferential diagnosispt_PT
dc.subjectgenetic diagnosispt_PT
dc.subjectinborn errors of metabolismpt_PT
dc.titleUtility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Centerpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceSwitzerlandpt_PT
oaire.citation.issue8pt_PT
oaire.citation.startPage1262pt_PT
oaire.citation.titleGenespt_PT
oaire.citation.volume12pt_PT
person.familyNameLaranjeira
person.familyNameMartins
person.givenNameFrancisco
person.givenNameEsmeralda
person.identifier828502
person.identifier.ciencia-idDE14-F0E8-1401
person.identifier.ciencia-idBF1C-DAE5-FAEA
person.identifier.orcid0000-0002-5043-8997
person.identifier.orcid0000-0002-9247-9391
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication49278350-b459-46e3-9c7e-fc9ad765fe5d
relation.isAuthorOfPublication7f4a528c-bf0f-4895-ac98-4353fe38c68a
relation.isAuthorOfPublication.latestForDiscovery49278350-b459-46e3-9c7e-fc9ad765fe5d

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