Farrugia A, Keyser C, Hollard C, Raul J S, Muller J, Ludes B
Institute of Legal Medicine, University of Strasbourg, Strasbourg, France.
Institute of Legal Medicine, University of Strasbourg, Strasbourg, France; Laboratory of Molecular Anthropology, CNRS UMR 5288, University of Strasbourg, Strasbourg, France.
Forensic Sci Int. 2015 Sep;254:5-11. doi: 10.1016/j.forsciint.2015.06.023. Epub 2015 Jul 3.
Genetic testing for cardiac channelopathies in sudden unexplained death (SUD) has developed substantially over the last years. The Next Generation Sequencing (NGS) technology provides an unprecedented opportunity to screen for genetic variations underlying arrhythmogenic genes in a short period of time at a low cost. The present study aimed to perform genetic testing with NGS technologies on the Ion Torrent Personal Genome Machine™ (Ion PGM™) sequencer, in targeting a total of 23 genes reported to be associated with inherited cardiac channelopathies in order to identify the possible cause of death in a cohort of post-mortem cases. The molecular analyses focused on 16 cases of SUD, aged less than 35 years old. In all cases, the cause of death could not be determined after a rigorous autopsy associated with histopathological and toxicological analyses according to the guidelines of the Association for European Cardiovascular Pathology. DNA was extracted from fresh frozen tissue. An average of 200 variants was identified per case. However, after the prioritization process using a new scoring program (VaRank) and after the conjunction of clinical data and molecular findings, four "likely pathogenic" variants (including two undescribed variants), were identified in three cases (18.75%) of our cohort in the genes KCNH2, ANK2, SCN5A and RYR2. One case, who died during psychiatric hospitalization after administration of a QT prolonging drug, showed a double "likely pathogenic" variant in Long QT genes (ANK2 and SCN5A) which may have predisposed to drug-induced cardiac arrhythmias. Our study illustrates that the NGS approach based on AmpliSeq™ libraries and Ion Torrent PGM™ sequencing may be an efficient approach, integrated to post-mortem examination. Given the massive amount of information generated by NGS, a rigorous filtration strategy of variants coupled with multidisciplinary collaboration is crucial to determine the potential pathogenic role of identified variants in the cause of death.
在过去几年中,针对不明原因猝死(SUD)的心脏离子通道病的基因检测有了显著发展。新一代测序(NGS)技术提供了前所未有的机会,能够在短时间内以低成本筛选出致心律失常基因潜在的基因变异。本研究旨在利用Ion Torrent Personal Genome Machine™(Ion PGM™)测序仪通过NGS技术进行基因检测,针对总共23个据报道与遗传性心脏离子通道病相关的基因,以确定一组尸检病例的可能死因。分子分析聚焦于16例年龄小于35岁的SUD病例。在所有病例中,根据欧洲心血管病理学会的指南,经过严格的尸检以及组织病理学和毒理学分析后,仍无法确定死因。从新鲜冷冻组织中提取DNA。每个病例平均鉴定出200个变异。然而,在使用新的评分程序(VaRank)进行优先级排序后,结合临床数据和分子发现,在我们队列中的3例(18.75%)病例的KCNH2、ANK2、SCN5A和RYR2基因中鉴定出4个“可能致病”的变异(包括2个未描述的变异)。1例在服用延长QT间期药物后于精神病院住院期间死亡的病例,在长QT基因(ANK2和SCN5A)中显示出双重“可能致病”变异,这可能使其易患药物性心律失常。我们的研究表明,基于AmpliSeq™文库和Ion Torrent PGM™测序的NGS方法可能是一种有效的方法,可整合到尸检中。鉴于NGS产生的大量信息,对变异进行严格的过滤策略并结合多学科协作对于确定已鉴定变异在死因中的潜在致病作用至关重要。