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.

A next-generation sequencing approach to identify gene mutations in early-and late-onset hypertrophic cardiomyopathy patients of an Italian cohort / Rubattu, Speranza; Bozzao, Cristina; Pennacchini, Ermelinda; Pagannone, Erika; Musumeci, Maria Beatrice; Piane, Maria; Germani, Aldo; Savio, Camilla; Francia, Pietro; Volpe, Massimo; Autore, Camillo; Chessa, Luciana. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 17:8(2016). [10.3390/ijms17081239]

A next-generation sequencing approach to identify gene mutations in early-and late-onset hypertrophic cardiomyopathy patients of an Italian cohort

Rubattu, Speranza;Bozzao, Cristina;Pagannone, Erika;Musumeci, Maria Beatrice;Piane, Maria;Germani, Aldo;Francia, Pietro;Volpe, Massimo;Autore, Camillo;Chessa, Luciana
2016

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.
2016
gene variants; genetics; hypertrophic cardiomyopathy; next-generation sequencing; physical and theoretical chemistry; organic chemistry; spectroscopy; inorganic chemistry; catalysis; molecular biology; computer science applications1707; computer vision and pattern recognition
01 Pubblicazione su rivista::01a Articolo in rivista
A next-generation sequencing approach to identify gene mutations in early-and late-onset hypertrophic cardiomyopathy patients of an Italian cohort / Rubattu, Speranza; Bozzao, Cristina; Pennacchini, Ermelinda; Pagannone, Erika; Musumeci, Maria Beatrice; Piane, Maria; Germani, Aldo; Savio, Camilla; Francia, Pietro; Volpe, Massimo; Autore, Camillo; Chessa, Luciana. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 17:8(2016). [10.3390/ijms17081239]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/893593
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