Erich and Hanna Klessmann Institute, Heart and Diabetes Center NRW, University Hospital of the Ruhr-University Bochum, Georgstrasse 11, 32545 Bad Oeynhausen, Germany.
National Medical Research Center for Therapy and Preventive Medicine, Petroverigsky per., 10, bld. 3, 101000 Moscow, Russia.
Int J Mol Sci. 2021 Apr 6;22(7):3786. doi: 10.3390/ijms22073786.
About 50% of patients with arrhythmogenic cardiomyopathy (ACM) carry a pathogenic or likely pathogenic mutation in the desmosomal genes. However, there is a significant number of patients without positive familial anamnesis. Therefore, the molecular reasons for ACM in these patients are frequently unknown and a genetic contribution might be underestimated. Here, we used a next-generation sequencing (NGS) approach and in addition single nucleotide polymor-phism (SNP) arrays for the genetic analysis of two independent index patients without familial medical history. Of note, this genetic strategy revealed a homozygous splice site mutation (DSG2-c.378+1G>T) in the first patient and a nonsense mutation (DSG2-p.L772X) in combination with a large deletion in DSG2 in the second one. In conclusion, a recessive inheritance pattern is likely for both cases, which might contribute to the hidden medical history in both families. This is the first report about these novel loss-of-function mutations in DSG2 that have not been previously identi-fied. Therefore, we suggest performing deep genetic analyses using NGS in combination with SNP arrays also for ACM index patients without obvious familial medical history. In the future, this finding might has relevance for the genetic counseling of similar cases.
约 50%的心律失常性心肌病 (ACM) 患者携带桥粒蛋白基因突变,其中致病性或可能致病性突变约占一半。然而,有相当一部分 ACM 患者没有阳性家族史。因此,这些患者 ACM 的分子病因常常不明确,遗传因素可能被低估。在此,我们使用下一代测序 (NGS) 方法和单核苷酸多态性 (SNP) 芯片对两个无家族病史的独立索引患者进行了遗传分析。值得注意的是,这种基因策略在第一个患者中发现了一个纯合剪接位点突变(DSG2-c.378+1G>T),在第二个患者中发现了一个无义突变(DSG2-p.L772X),并与 DSG2 中的大片段缺失相结合。总之,这两种情况都可能存在隐性遗传模式,这可能导致两个家族都有隐藏的病史。这是首次报道 DSG2 中存在这些以前未被识别的新型功能丧失突变。因此,我们建议对无明显家族病史的 ACM 索引患者,使用 NGS 联合 SNP 芯片进行深度基因分析。未来,这一发现可能与类似病例的遗传咨询相关。