A Next-Generation Sequencing Approach to Identify Gene Mutations in Early- and Late-Onset Hypertrophic Cardiomyopathy Patients of an Italian Cohort |
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Authors: | Speranza Rubattu Cristina Bozzao Ermelinda Pennacchini Erika Pagannone Beatrice Maria Musumeci Maria Piane Aldo Germani Camilla Savio Pietro Francia Massimo Volpe Camillo Autore Luciana Chessa |
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Affiliation: | 1Department of Clinical and Molecular Medicine, School of Medicine and Psychology, University Sapienza of Rome, 00185 Rome, Italy; (C.B.); (E.Pe.); (E.Pa.); (B.M.M.); (M.P.); (A.G.); (C.S.); (P.F.); (M.V.); (L.C.);2Department of Angiocardioneurology, IRCCS Neuromed, 86077 Pozzilli, Italy |
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Abstract: | Sequencing of sarcomere protein genes in patients fulfilling the clinical diagnostic criteria for hypertrophic cardiomyopathy (HCM) identifies a disease-causing mutation in 35% to 60% of cases. Age at diagnosis and family history may increase the yield of mutations screening. In order to assess whether Next-Generation Sequencing (NGS) may fulfil the molecular diagnostic needs in HCM, we included 17 HCM-related genes in a sequencing panel run on PGM IonTorrent. We selected 70 HCM patients, 35 with early (≤25 years) and 35 with late (≥65 years) diagnosis of disease onset. All samples had a 98.6% average of target regions, with coverage higher than 20× (mean coverage 620×). We identified 41 different mutations (seven of them novel) in nine genes: MYBPC3 (17/41 = 41%); MYH7 (10/41 = 24%); TNNT2, CAV3 and MYH6 (3/41 = 7.5% each); TNNI3 (2/41 = 5%); GLA, MYL2, and MYL3 (1/41=2.5% each). Mutation detection rate was 30/35 (85.7%) in early-onset and 8/35 (22.9%) in late-onset HCM patients, respectively (p < 0.0001). The overall detection rate for patients with positive family history was 84%, and 90.5% in patients with early disease onset. In our study NGS revealed higher mutations yield in patients with early onset and with a family history of HCM. Appropriate patient selection can increase the yield of genetic testing and make diagnostic testing cost-effective. |
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Keywords: | genetics gene variants hypertrophic cardiomyopathy next-generation sequencing |
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