Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA.
Cell. 2011 Jun 24;145(7):1036-48. doi: 10.1016/j.cell.2011.05.025.
Ion channel mutations are an important cause of rare Mendelian disorders affecting brain, heart, and other tissues. We performed parallel exome sequencing of 237 channel genes in a well-characterized human sample, comparing variant profiles of unaffected individuals to those with the most common neuronal excitability disorder, sporadic idiopathic epilepsy. Rare missense variation in known Mendelian disease genes is prevalent in both groups at similar complexity, revealing that even deleterious ion channel mutations confer uncertain risk to an individual depending on the other variants with which they are combined. Our findings indicate that variant discovery via large scale sequencing efforts is only a first step in illuminating the complex allelic architecture underlying personal disease risk. We propose that in silico modeling of channel variation in realistic cell and network models will be crucial to future strategies assessing mutation profile pathogenicity and drug response in individuals with a broad spectrum of excitability disorders.
离子通道突变是影响大脑、心脏和其他组织的罕见孟德尔疾病的重要原因。我们对一个特征明确的人类样本进行了 237 个通道基因的平行外显子组测序,将无影响个体的变异谱与最常见的神经元兴奋性障碍(散发性特发性癫痫)进行了比较。在这两个群体中,已知孟德尔疾病基因的罕见错义变异以相似的复杂性普遍存在,这表明,即使是有害的离子通道突变,由于与其他变体的组合,对个体的风险也不确定。我们的研究结果表明,通过大规模测序努力发现变异只是阐明个体疾病风险背后复杂等位基因结构的第一步。我们提出,在真实的细胞和网络模型中对通道变异进行计算机建模对于未来的策略至关重要,这些策略旨在评估具有广泛兴奋性障碍的个体的突变谱致病性和药物反应。