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Unveiling a sudden unexplained death case by whole exome sequencing and bioinformatic analysis

机译:通过整体exome测序和生物信息分析揭示突发的未解释的死亡案例

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Background 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. Methods 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. Results WES analysis identified four potentially pathogenic variants: RYR2:c.12168GT, TTN:c.11821CT (rs397517804), MYBPC3:c.1255CT (rs368770848), and ACADVL:c.848TC (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. Conclusion Associating WES technique with online prediction algorithms may allow the recognition of genetic mutations potentially responsible for otherwise unexplained deaths.
机译:背景技术突然未解释的死亡(sud)是指尸检猝死的病例,其中尸检未能识别任何心脏病或外形潜在原因。指导指导的标准遗传检测识别疾病导致的突变在不到三分之一的苏打水中。相反,整个Exome测序(WES)可以提供距离受试者死亡几年后解决大多数苏丹病例的关键。方法我们报告了一名37岁男性突然意外死亡的情况,尚未考虑14岁的尸检14年前。最近通过WES的重新评估是在从左心室样本中提取的DNA上进行的。应用包括多个“在硅”工具的多步骤过程以鉴定潜在的致病变体。数据分析基于562个基因面板,包括与突发的心脏死亡或心脏病相关的234个候选基因,添加328个基因在心脏中高度表达。 WebGESTALTALT算法用于所有基因的归富富集分析,具有检测到的致病性变体。结果Wes分析确定了四种潜在的致病变体: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,可想导致导致导致我们受试者突然死亡的事件的发生。结论与在线预测算法相关的WES技术可以允许识别可能对否则未解释的死亡的遗传突变。

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