Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/109846
Título: High resolution melting: improvements in the genetic diagnosis of hypertrophic cardiomyopathy in a Portuguese cohort
Autor: Santos, Susana
Marques, Vanda
Pires, Marina Joana Dias 
Silveira, Leonor
Oliveira, Helena
Lança, Vasco
Brito, Dulce
Madeira, Hugo
Esteves, J Fonseca
Freitas, António
Carreira, Isabel M. 
Gaspar, Isabel M.
Monteiro, Carolino
Fernandes, Alexandra R.
Palavras-chave: Hypertrophic cardiomyopathy; Gene-based diagnosis; High Resolution Melting; Sarcomere proteins; CSRP3 gene
Data: 19-Mar-2012
Editora: Springer Nature
Título da revista, periódico, livro ou evento: BMC Medical Genetics
Volume: 13
Número: 1
Resumo: Background: 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.
URI: http://hdl.handle.net/10316/109846
ISSN: 1471-2350
DOI: 10.1186/1471-2350-13-17
Direitos: openAccess
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