Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Fondazione Pisana per la Scienza ONLUS, Pisa, Italy.
Mol Genet Genomic Med. 2020 Apr;8(4):e1182. doi: 10.1002/mgg3.1182. Epub 2020 Feb 26.
Sudden unexplained death (SUD) refers to cases of sudden death where autopsy fails to identify any cardiac or extracardiac underlying cause. Guideline-directed standard genetic testing identifies a disease-causing mutation in less than one-third of cases of SUD. Conversely, whole exome sequencing (WES) may provide the key to solve most cases of SUD even after several years from the subject's death.
We report on a case of sudden unexpected death of a 37-year-old male, with inconclusive autopsy conducted 14 years ago. A recent reevaluation through WES was performed on DNA extracted from left ventricular samples. A multiple step process including several "in silico" tools was applied to identify potentially pathogenic variants. Data analysis was based on a 562 gene panel, including 234 candidate genes associated with sudden cardiac death or heart diseases, with the addition of 328 genes highly expressed in the heart. WebGestalt algorithms were used for association enrichment analysis of all genes with detected putative pathogenic variants.
WES analysis identified four potentially pathogenic variants: RYR2:c.12168G>T, TTN:c.11821C>T (rs397517804), MYBPC3:c.1255C>T (rs368770848), and ACADVL:c.848T>C (rs113994167). WebGestalt algorithms indicated that their combination holds an unfavorable arrhythmic susceptibility which conceivably caused the occurrence of the events leading to our subject's sudden death.
Associating WES technique with online prediction algorithms may allow the recognition of genetic mutations potentially responsible for otherwise unexplained deaths.
猝死(SUD)是指尸检未能确定任何心脏或心脏外潜在原因的突然死亡病例。指南指导的标准基因检测在不到三分之一的 SUD 病例中确定了致病突变。相反,外显子组测序(WES)即使在受试者死亡数年后,也可能为解决大多数 SUD 病例提供关键。
我们报告了一例 37 岁男性的猝死,14 年前进行的尸检结果不确定。最近对从左心室样本中提取的 DNA 进行了 WES 重新评估。应用包括多个“计算机模拟”工具在内的多步骤过程来识别潜在的致病性变体。数据分析基于包括与心脏性猝死或心脏病相关的 234 个候选基因的 562 个基因面板,以及在心脏中高度表达的 328 个基因。WebGestalt 算法用于对所有具有潜在致病性变异的基因进行关联富集分析。
WES 分析鉴定了四个潜在的致病性变体:RYR2:c.12168G>T、TTN:c.11821C>T(rs397517804)、MYBPC3:c.1255C>T(rs368770848)和 ACADVL:c.848T>C(rs113994167)。WebGestalt 算法表明,它们的组合具有不利的心律失常易感性,这可能导致了导致我们研究对象猝死的事件的发生。
将 WES 技术与在线预测算法相结合,可能可以识别潜在导致不明原因死亡的基因突变。