Targeted next generation sequencing in patients with inborn errors of metabolism

dc.contributor.authorYubero Siles, Dèlia
dc.contributor.authorBrandi, Nuria
dc.contributor.authorOrmazabal Herrero, Aida
dc.contributor.authorGarcia-Cazorla, Àngels
dc.contributor.authorPérez Dueñas, Belén
dc.contributor.authorCampistol Plana, Jaume
dc.contributor.authorRibes Rubió, Maria Antònia
dc.contributor.authorPalau Martínez, Francesc
dc.contributor.authorArtuch Iriberri, Rafael
dc.contributor.authorArmstrong i Morón, Judith
dc.date.accessioned2018-02-12T12:40:49Z
dc.date.available2018-02-12T12:40:49Z
dc.date.issued2016-05-31
dc.date.updated2018-02-12T12:40:49Z
dc.description.abstractBACKGROUND: Next-generation sequencing (NGS) technology has allowed the promotion of genetic diagnosis and are becoming increasingly inexpensive and faster. To evaluate the utility of NGS in the clinical field, a targeted genetic panel approach was designed for the diagnosis of a set of inborn errors of metabolism (IEM). The final aim of the study was to compare the findings for the diagnostic yield of NGS in patients who presented with consistent clinical and biochemical suspicion of IEM with those obtained for patients who did not have specific biomarkers. METHODS: The subjects studied (n = 146) were classified into two categories: Group 1 (n = 81), which consisted of patients with clinical and biochemical suspicion of IEM, and Group 2 (n = 65), which consisted of IEM cases with clinical suspicion and unspecific biomarkers. A total of 171 genes were analyzed using a custom targeted panel of genes followed by Sanger validation. RESULTS: Genetic diagnosis was achieved in 50% of patients (73/146). In addition, the diagnostic yield obtained for Group 1 was 78% (63/81), and this rate decreased to 15.4% (10/65) in Group 2 (X2 = 76.171; p < 0.0001). CONCLUSIONS: A rapid and effective genetic diagnosis was achieved in our cohort, particularly the group that had both clinical and biochemical indications for the diagnosis.
dc.format.extent10 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec669465
dc.identifier.issn1932-6203
dc.identifier.pmid27243974
dc.identifier.urihttps://hdl.handle.net/2445/119748
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0156359
dc.relation.ispartofPLoS One, 2016, vol. 11, num. 5, p. e0156359
dc.relation.urihttps://doi.org/10.1371/journal.pone.0156359
dc.rightscc-by (c) Yubero Siles, Dèlia et al., 2016
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)
dc.subject.classificationMutació (Biologia)
dc.subject.classificationGenètica mèdica
dc.subject.classificationMalalties hereditàries
dc.subject.classificationADN
dc.subject.classificationMetabolisme
dc.subject.otherMutation (Biology)
dc.subject.otherMedical genetics
dc.subject.otherGenetic diseases
dc.subject.otherDNA
dc.subject.otherMetabolism
dc.titleTargeted next generation sequencing in patients with inborn errors of metabolism
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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