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Value of genetic analysis for confirming inborn errors of metabolism detected through the Spanish neonatal screening program.

dc.contributor.authorNavarrete, Rosa
dc.contributor.authorLeal, Fatima
dc.contributor.authorVega, Ana I
dc.contributor.authorMorais-Lopez, Ana
dc.contributor.authorGarcia-Silva, Maria Teresa
dc.contributor.authorMartin-Hernandez, Elena
dc.contributor.authorQuijada-Fraile, Pilar
dc.contributor.authorBergua, Ana
dc.contributor.authorVives, Inmaculada
dc.contributor.authorGarcia-Jimenez, Inmaculada
dc.contributor.authorYahyaoui, Raquel
dc.contributor.authorPedron-Giner, Consuelo
dc.contributor.authorBelanger-Quintana, Amaya
dc.contributor.authorStanescu, Sinziana
dc.contributor.authorCañedo, Elvira
dc.contributor.authorGarcia-Campos, Oscar
dc.contributor.authorBueno-Delgado, Maria
dc.contributor.authorDelgado-Pecellin, Carmen
dc.contributor.authorVitoria, Isidro
dc.contributor.authorRausell, Maria Dolores
dc.contributor.authorBalmaseda, Elena
dc.contributor.authorCouce, Mari Luz
dc.contributor.authorDesviat, Lourdes R
dc.contributor.authorMerinero, Begoña
dc.contributor.authorRodriguez-Pombo, Pilar
dc.contributor.authorUgarte, Magdalena
dc.contributor.authorPerez-Cerda, Celia
dc.contributor.authorPerez, Belen
dc.contributor.funderEuropean Regional Development Fund
dc.contributor.funderFundación Isabel Gemio
dc.contributor.funderFundación La Caixa
dc.contributor.funderCentro de Biología Molecular Severo Ochoa
dc.date.accessioned2023-01-25T10:27:52Z
dc.date.available2023-01-25T10:27:52Z
dc.date.issued2019-01-09
dc.description.abstractThe present work describes the value of genetic analysis as a confirmatory measure following the detection of suspected inborn errors of metabolism in the Spanish newborn mass spectrometry screening program. One hundred and forty-one consecutive DNA samples were analyzed by next-generation sequencing using a customized exome sequencing panel. When required, the Illumina extended clinical exome panel was used, as was Sanger sequencing or transcriptional profiling. Biochemical tests were used to confirm the results of the genetic analysis. Using the customized panel, the metabolic disease suspected in 83 newborns (59%) was confirmed. In three further cases, two monoallelic variants were detected for two genes involved in the same biochemical pathway. In the remainder, either a single variant or no variant was identified. Given the persistent absence of biochemical alterations, carrier status was assigned in 39 cases. False positives were recorded for 11. In five cases in which the biochemical pattern was persistently altered, further genetic analysis allowed the detection of two variants affecting the function of BCAT2, ACSF3, and DNAJC12, as well as a second, deep intronic variant in ETFDH or PTS. The present results suggest that genetic analysis using extended next-generation sequencing panels can be used as a confirmatory test for suspected inborn errors of metabolism detected in newborn screening programs. Biochemical tests can be very helpful when a diagnosis is unclear. In summary, simultaneous genomic and metabolomic analyses can increase the number of inborn errors of metabolism that can be confirmed following suggestive newborn screening results.
dc.description.sponsorshipThis work was funded in part by grant PI16/00573, B2017/BMD-3721, the Fundación Isabel Gemio and the Fundación La Caixa (LCF/PR/PR16/11110018), an institutional grant from the Fundación Ramón Areces to the Centro de Biología Molecular Severo Ochoa, and the European Regional Development Fund.
dc.description.versionSi
dc.identifier.citationNavarrete R, Leal F, Vega AI, Morais-López A, Garcia-Silva MT, Martín-Hernández E, et al. Value of genetic analysis for confirming inborn errors of metabolism detected through the Spanish neonatal screening program. Eur J Hum Genet. 2019 Apr;27(4):556-562
dc.identifier.doi10.1038/s41431-018-0330-0
dc.identifier.essn1476-5438
dc.identifier.pmcPMC6460639
dc.identifier.pmid30626930
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460639/pdf
dc.identifier.unpaywallURLhttps://www.nature.com/articles/s41431-018-0330-0.pdf
dc.identifier.urihttp://hdl.handle.net/10668/13404
dc.issue.number4
dc.journal.titleEuropean journal of human genetics : EJHG
dc.journal.titleabbreviationEur J Hum Genet
dc.language.isoen
dc.organizationHospital Universitario Regional de Málaga
dc.organizationInstituto de Investigación Biomédica de Málaga-IBIMA
dc.organizationHospital Universitario Virgen del Rocío
dc.page.number556-562
dc.provenanceRealizada la curación de contenido 23/05/2025
dc.publisherNature Publishing Group
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.relation.projectIDPI16/00573
dc.relation.projectIDB2017/BMD-3721
dc.relation.projectIDLCF/PR/PR16/11110018
dc.relation.publisherversionhttps://doi.org/10.1038/s41431-018-0330-0
dc.rights.accessRightsRestricted Access
dc.subjectLipid Metabolism, Inborn Errors
dc.subjectMetabolism, Inborn Errors
dc.subjectMutation
dc.subjectNeonatal Screening
dc.subject.decsErrores innatos del metabolismo
dc.subject.decsSecuenciación de nucleótidos de alto rendimiento
dc.subject.decsExoma
dc.subject.decsEnfermedades metabólicas
dc.subject.decsSecuenciación del exoma
dc.subject.decsMetabolómica
dc.subject.meshExome
dc.subject.meshGenetic Testing
dc.subject.meshHigh-Throughput Nucleotide Sequencing
dc.subject.meshHumans
dc.subject.meshInfant, Newborn
dc.subject.meshSpain
dc.subject.meshExome Sequencing
dc.titleValue of genetic analysis for confirming inborn errors of metabolism detected through the Spanish neonatal screening program.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number27
dspace.entity.typePublication

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