Department of Internal Medicine III, University of Heidelberg, Germany DZHK (German Centre for Cardiovascular Research), Germany.
Institute of Medical Biometry and Informatics (IMBI), University Hospital Heidelberg, Germany.
Eur Heart J. 2015 May 7;36(18):1123-35a. doi: 10.1093/eurheartj/ehu301. Epub 2014 Aug 27.
Numerous genes are known to cause dilated cardiomyopathy (DCM). However, until now technological limitations have hindered elucidation of the contribution of all clinically relevant disease genes to DCM phenotypes in larger cohorts. We now utilized next-generation sequencing to overcome these limitations and screened all DCM disease genes in a large cohort.
In this multi-centre, multi-national study, we have enrolled 639 patients with sporadic or familial DCM. To all samples, we applied a standardized protocol for ultra-high coverage next-generation sequencing of 84 genes, leading to 99.1% coverage of the target region with at least 50-fold and a mean read depth of 2415. In this well characterized cohort, we find the highest number of known cardiomyopathy mutations in plakophilin-2, myosin-binding protein C-3, and desmoplakin. When we include yet unknown but predicted disease variants, we find titin, plakophilin-2, myosin-binding protein-C 3, desmoplakin, ryanodine receptor 2, desmocollin-2, desmoglein-2, and SCN5A variants among the most commonly mutated genes. The overlap between DCM, hypertrophic cardiomyopathy (HCM), and channelopathy causing mutations is considerably high. Of note, we find that >38% of patients have compound or combined mutations and 12.8% have three or even more mutations. When comparing patients recruited in the eight participating European countries we find remarkably little differences in mutation frequencies and affected genes.
This is to our knowledge, the first study that comprehensively investigated the genetics of DCM in a large-scale cohort and across a broad gene panel of the known DCM genes. Our results underline the high analytical quality and feasibility of Next-Generation Sequencing in clinical genetic diagnostics and provide a sound database of the genetic causes of DCM.
许多基因已被证实与扩张型心肌病(DCM)有关。然而,由于技术限制,目前仍难以在更大的患者队列中阐明所有具有临床相关性的疾病基因对 DCM 表型的贡献。本研究利用新一代测序技术克服了这些限制,并对一大组患者的所有 DCM 疾病基因进行了筛查。
在这项多中心、多国研究中,我们共纳入了 639 名散发或家族性 DCM 患者。对所有样本,我们采用了标准化的超高覆盖度新一代测序方案,对 84 个基因进行测序,目标区域覆盖率达到 99.1%,测序深度至少为 50 倍,平均测序深度为 2415 倍。在这个特征明确的队列中,我们在桥粒斑蛋白 2、肌球蛋白结合蛋白 C-3 和桥粒芯糖蛋白中发现了最多的已知心肌病突变。当我们纳入未知但预测为疾病相关的变异时,我们发现桥粒斑蛋白 2、肌球蛋白结合蛋白-C 3、桥粒芯糖蛋白、肌联蛋白、兰尼碱受体 2、结蛋白 2、桥粒芯胶蛋白 2 和连接蛋白 SCN5A 等基因的变异也较为常见。DCM、肥厚型心肌病(HCM)和通道病致病突变之间的重叠相当高。值得注意的是,我们发现>38%的患者存在复合或合并突变,12.8%的患者存在三种或更多突变。在比较来自 8 个参与欧洲国家的患者时,我们发现突变频率和受影响的基因非常相似。
这是我们所知的首次在大规模队列和广泛的已知 DCM 基因面板中全面研究 DCM 遗传学的研究。我们的结果强调了新一代测序在临床遗传学诊断中的高分析质量和可行性,并为 DCM 的遗传病因提供了可靠的数据库。