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Rapid detection of genetic variants in hypertrophic cardiomyopathy by custom DNA resequencing array in clinical practice

Authors :
Sabino Iliceto
Cemil Özcelik
Analia Munoz
Claudine Rieubland
Stylianos E. Antonarakis
Martin Farr
Ulrich Sigwart
François Mach
Paola Melacini
René Lerch
Jean-Louis Blouin
Xavier Jeanrenaud
Siv Fokstuen
Lothar Faber
Andreas Perrot
Source :
Journal of Medical Genetics, Vol. 48, No 8 (2011) pp. 572-6, Journal of medical genetics
Publication Year :
2011
Publisher :
BMJ, 2011.

Abstract

Background Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disease (1/500) and the most common cause of sudden cardiac death in young people. Pathogenic mutation detection of HCM is having a growing impact on the medical management of patients and their families. However, the remarkable genetic and allelic heterogeneity makes molecular analysis by conventional methods very time-consuming, expensive and difficult to realise in a routine diagnostic molecular laboratory. Method and results The authors used their custom DNA resequencing array which interrogates all possible single-nucleotide variants on both strands of all exons (n=160), splice sites and 5′-untranslated region of 12 HCM genes (27 000 nucleotides). The results for 122 unrelated patients with HCM are presented. Thirty-three known or novel potentially pathogenic heterozygous single-nucleotide variants were identified in 38 patients (31%) in genes MYH7, MYBPC3, TNNT2, TNNI3, TPM1, MYL3 and ACTC1 . Conclusions Although next-generation sequencing will replace all large-scale sequencing platforms for inherited cardiac disorders in the near future, this HCM resequencing array is currently the most rapid, cost-effective and reasonably efficient technology for first-tier mutation screening of HCM in clinical practice. Because of its design, the array is also an appropriate tool for initial screening of other inherited forms of cardiomyopathy.

Details

ISSN :
14686244 and 00222593
Volume :
48
Database :
OpenAIRE
Journal :
Journal of Medical Genetics
Accession number :
edsair.doi.dedup.....f9d57bc6e46a2ede9d1f18016691ddbd