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 (â¤25 years) and 35 with late (â¥65 years) diagnosis of disease onset. All samples had a 98.6% average of target regions, with coverage higher than 20à (mean coverage 620Ã). 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.
采用新一代测序方法鉴定意大利队列中早发型和晚发型肥厚型心肌病患者的基因突变
阅读:11
作者:Rubattu Speranza, Bozzao Cristina, Pennacchini Ermelinda, Pagannone Erika, Musumeci Beatrice Maria, Piane Maria, Germani Aldo, Savio Camilla, Francia Pietro, Volpe Massimo, Autore Camillo, Chessa Luciana
| 期刊: | International Journal of Molecular Sciences | 影响因子: | 4.900 |
| 时间: | 2016 | 起止号: | 2016 Jul 30; 17(8):1239 |
| doi: | 10.3390/ijms17081239 | 研究方向: | 炎症/感染 |
| 疾病类型: | 心肌炎 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
