Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/109846
DC FieldValueLanguage
dc.contributor.authorSantos, Susana-
dc.contributor.authorMarques, Vanda-
dc.contributor.authorPires, Marina Joana Dias-
dc.contributor.authorSilveira, Leonor-
dc.contributor.authorOliveira, Helena-
dc.contributor.authorLança, Vasco-
dc.contributor.authorBrito, Dulce-
dc.contributor.authorMadeira, Hugo-
dc.contributor.authorEsteves, J Fonseca-
dc.contributor.authorFreitas, António-
dc.contributor.authorCarreira, Isabel M.-
dc.contributor.authorGaspar, Isabel M.-
dc.contributor.authorMonteiro, Carolino-
dc.contributor.authorFernandes, Alexandra R.-
dc.date.accessioned2023-10-31T11:12:46Z-
dc.date.available2023-10-31T11:12:46Z-
dc.date.issued2012-03-19-
dc.identifier.issn1471-2350pt
dc.identifier.urihttp://hdl.handle.net/10316/109846-
dc.description.abstractBackground: Hypertrophic Cardiomyopathy (HCM) is a complex myocardial disorder with a recognized genetic heterogeneity. The elevated number of genes and mutations involved in HCM limits a gene-based diagnosis that should be considered of most importance for basic research and clinical medicine. Methodology: In this report, we evaluated High Resolution Melting (HRM) robustness, regarding HCM genetic testing, by means of analyzing 28 HCM-associated genes, including the most frequent 4 HCM-associated sarcomere genes, as well as 24 genes with lower reported HCM-phenotype association. We analyzed 80 Portuguese individuals with clinical phenotype of HCM allowing simultaneously a better characterization of this disease in the Portuguese population. Results: HRM technology allowed us to identify 60 mutated alleles in 72 HCM patients: 49 missense mutations, 3 nonsense mutations, one 1-bp deletion, one 5-bp deletion, one in frame 3-bp deletion, one insertion/deletion, 3 splice mutations, one 5’UTR mutation in MYH7, MYBPC3, TNNT2, TNNI3, CSRP3, MYH6 and MYL2 genes. Significantly 22 are novel gene mutations. Conclusions: HRM was proven to be a technique with high sensitivity and a low false positive ratio allowing a rapid, innovative and low cost genotyping of HCM. In a short return, HRM as a gene scanning technique could be a cost-effective gene-based diagnosis for an accurate HCM genetic diagnosis and hopefully providing new insights into genotype/phenotype correlations.pt
dc.language.isoengpt
dc.publisherSpringer Naturept
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectHypertrophic cardiomyopathypt
dc.subjectGene-based diagnosispt
dc.subjectHigh Resolution Meltingpt
dc.subjectSarcomere proteinspt
dc.subjectCSRP3 genept
dc.subject.meshAdolescentpt
dc.subject.meshAdultpt
dc.subject.meshAgedpt
dc.subject.meshAged, 80 and overpt
dc.subject.meshBiometrypt
dc.subject.meshCardiac Myosinspt
dc.subject.meshCardiomyopathy, Hypertrophicpt
dc.subject.meshCarrier Proteinspt
dc.subject.meshCohort Studiespt
dc.subject.meshComputational Biologypt
dc.subject.meshExonspt
dc.subject.meshFemalept
dc.subject.meshGenetic Variationpt
dc.subject.meshGenome, Humanpt
dc.subject.meshHumanspt
dc.subject.meshMalept
dc.subject.meshMiddle Agedpt
dc.subject.meshMutationpt
dc.subject.meshMyosin Heavy Chainspt
dc.subject.meshNucleic Acid Denaturationpt
dc.subject.meshPolymerase Chain Reactionpt
dc.subject.meshPortugalpt
dc.subject.meshTroponin Tpt
dc.subject.meshYoung Adultpt
dc.titleHigh resolution melting: improvements in the genetic diagnosis of hypertrophic cardiomyopathy in a Portuguese cohortpt
dc.typearticle-
degois.publication.firstPage17pt
degois.publication.issue1pt
degois.publication.titleBMC Medical Geneticspt
dc.peerreviewedyespt
dc.identifier.doi10.1186/1471-2350-13-17pt
degois.publication.volume13pt
dc.date.embargo2012-03-19*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
crisitem.author.researchunitCNC - Center for Neuroscience and Cell Biology-
crisitem.author.orcid0000-0001-6842-1707-
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais
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