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高分辨率分子基因组尸检揭示复杂的癫痫风险特征中的突发性意外死亡。

High-resolution molecular genomic autopsy reveals complex sudden unexpected death in epilepsy risk profile.

机构信息

Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

Epilepsia. 2014 Feb;55(2):e6-12. doi: 10.1111/epi.12489. Epub 2013 Dec 24.

Abstract

Advanced variant detection in genes underlying risk of sudden unexpected death in epilepsy (SUDEP) can uncover extensive epistatic complexity and improve diagnostic accuracy of epilepsy-related mortality. However, the sensitivity and clinical utility of diagnostic panels based solely on established cardiac arrhythmia genes in the molecular autopsy of SUDEP is unknown. We applied the established clinical diagnostic panels, followed by sequencing and a high density copy number variant (CNV) detection array of an additional 253 related ion channel subunit genes to analyze the overall genomic variation in a SUDEP of the 3-year-old proband with severe myoclonic epilepsy of infancy (SMEI). We uncovered complex combinations of single nucleotide polymorphisms and CNVs in genes expressed in both neurocardiac and respiratory control pathways, including SCN1A, KCNA1, RYR3, and HTR2C. Our findings demonstrate the importance of comprehensive high-resolution variant analysis in the assessment of personally relevant SUDEP risk. In this case, the combination of de novo single nucleotide polymorphisms (SNPs) and CNVs in the SCN1A and KCNA1 genes, respectively, is suspected to be the principal risk factor for both epilepsy and premature death. However, consideration of the overall biologically relevant variant complexity with its extensive functional epistatic interactions reveals potential personal risk more accurately.

摘要

在导致癫痫猝死风险的基因中进行高级变异检测,可以揭示广泛的上位性复杂性,并提高癫痫相关死亡率的诊断准确性。然而,基于已确立的心脏心律失常基因的诊断小组在猝死的分子尸检中的敏感性和临床实用性尚不清楚。我们应用了已建立的临床诊断小组,然后对另外 253 个相关离子通道亚基基因进行测序和高密度拷贝数变异(CNV)检测阵列,以分析 3 岁患有婴儿严重肌阵挛性癫痫(SMEI)的猝死患者的整体基因组变异。我们发现了在神经心脏和呼吸控制途径中表达的基因中的单核苷酸多态性和 CNV 的复杂组合,包括 SCN1A、KCNA1、RYR3 和 HTR2C。我们的研究结果表明,在评估个人相关猝死风险时,全面的高分辨率变异分析非常重要。在这种情况下,分别位于 SCN1A 和 KCNA1 基因中的新生单核苷酸多态性(SNPs)和 CNVs 的组合,被怀疑是癫痫和过早死亡的主要风险因素。然而,考虑到具有广泛功能上位性相互作用的整体生物学相关变异复杂性,可以更准确地揭示潜在的个人风险。

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