MRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
AGE Research Group, NIHR Newcastle Biomedical Research Centre, Newcastle-upon-Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle-upon-Tyne, UK.
Brain. 2022 Apr 18;145(2):607-620. doi: 10.1093/brain/awab344.
High-throughput DNA sequencing is increasingly employed to diagnose single gene neurological and neuromuscular disorders. Large volumes of data present new challenges in data interpretation and its useful translation into clinical and genetic counselling for families. Even when a plausible gene is identified with confidence, interpretation of the clinical significance and inheritance pattern of variants can be challenging. We report our approach to evaluating variants in the skeletal muscle chloride channel ClC-1 identified in 223 probands with myotonia congenita as an example of these challenges. Sequencing of CLCN1, the gene that encodes CLC-1, is central to the diagnosis of myotonia congenita. However, interpreting the pathogenicity and inheritance pattern of novel variants is notoriously difficult as both dominant and recessive mutations are reported throughout the channel sequence, ClC-1 structure-function is poorly understood and significant intra- and interfamilial variability in phenotype is reported. Heterologous expression systems to study functional consequences of CIC-1 variants are widely reported to aid the assessment of pathogenicity and inheritance pattern. However, heterogeneity of reported analyses does not allow for the systematic correlation of available functional and genetic data. We report the systematic evaluation of 95 CIC-1 variants in 223 probands, the largest reported patient cohort, in which we apply standardized functional analyses and correlate this with clinical assessment and inheritance pattern. Such correlation is important to determine whether functional data improves the accuracy of variant interpretation and likely mode of inheritance. Our data provide an evidence-based approach that functional characterization of ClC-1 variants improves clinical interpretation of their pathogenicity and inheritance pattern, and serve as reference for 34 previously unreported and 28 previously uncharacterized CLCN1 variants. In addition, we identify novel pathogenic mechanisms and find that variants that alter voltage dependence of activation cluster in the first half of the transmembrane domains and variants that yield no currents cluster in the second half of the transmembrane domain. None of the variants in the intracellular domains were associated with dominant functional features or dominant inheritance pattern of myotonia congenita. Our data help provide an initial estimate of the anticipated inheritance pattern based on the location of a novel variant and shows that systematic functional characterization can significantly refine the assessment of risk of an associated inheritance pattern and consequently the clinical and genetic counselling.
高通量 DNA 测序越来越多地用于诊断单基因神经和神经肌肉疾病。大量的数据在数据解释及其对家庭的临床和遗传咨询的有用转化方面带来了新的挑战。即使可以有信心地确定一个合理的基因,变体的临床意义和遗传模式的解释也可能具有挑战性。我们报告了评估在 223 名先天性肌强直患者中发现的骨骼肌氯离子通道 ClC-1 中的变体的方法,这是这些挑战的一个例子。CLCN1 基因的测序是先天性肌强直诊断的核心。然而,由于在整个通道序列中都报告了显性和隐性突变,ClC-1 的结构-功能理解甚少,并且报告了表型的显著个体内和家族内变异性,因此,新型变体的致病性和遗传模式的解释非常困难。广泛报道的异源表达系统来研究 CIC-1 变体的功能后果有助于评估致病性和遗传模式。然而,分析报告的异质性不允许对可用功能和遗传数据进行系统关联。我们报告了对 223 名患者中的 95 个 CIC-1 变体进行的系统评估,这是报告的最大患者队列,我们应用了标准化的功能分析,并将其与临床评估和遗传模式相关联。这种相关性对于确定功能数据是否可以提高变体解释的准确性以及可能的遗传模式很重要。我们的数据提供了一种基于证据的方法,即 ClC-1 变体的功能特征改善了对其致病性和遗传模式的临床解释,并为 34 个以前未报道的和 28 个以前未表征的 CLCN1 变体提供了参考。此外,我们确定了新的致病机制,发现改变跨膜域前半部分激活电压依赖性的变体和产生无电流的变体聚集在跨膜域的后半部分。细胞内域中的任何变体都与先天性肌强直的显性功能特征或显性遗传模式无关。我们的数据有助于根据新变体的位置提供对预期遗传模式的初步估计,并表明系统的功能特征可以显著细化对相关遗传模式风险的评估,从而改善临床和遗传咨询。