Boczek Nicole J, Best Jabe M, Tester David J, Giudicessi John R, Middha Sumit, Evans Jared M, Kamp Timothy J, Ackerman Michael J
Center for Translational Science Activities, Mayo Graduate School, Mayo Clinic, Rochester, MN 55905, USA.
Circ Cardiovasc Genet. 2013 Jun;6(3):279-89. doi: 10.1161/CIRCGENETICS.113.000138.
Long QT syndrome (LQTS) is the most common cardiac channelopathy with 15 elucidated LQTS-susceptibility genes. Approximately 20% of LQTS cases remain genetically elusive.
We combined whole-exome sequencing and bioinformatic/systems biology to identify the pathogenic substrate responsible for nonsyndromic, genotype-negative, autosomal dominant LQTS in a multigenerational pedigree, and we established the spectrum and prevalence of variants in the elucidated gene among a cohort of 102 unrelated patients with "genotype-negative/phenotype-positive" LQTS. Whole-exome sequencing was used on 3 members within a genotype-negative/phenotype-positive family. Genomic triangulation combined with bioinformatic tools and ranking algorithms led to the identification of a CACNA1C mutation. This mutation, Pro857Arg-CACNA1C, cosegregated with the disease within the pedigree, was ranked by 3 disease-network algorithms as the most probable LQTS-susceptibility gene and involves a conserved residue localizing to the proline, gltamic acid, serine, and threonine (PEST) domain in the II-III linker. Functional studies reveal that Pro857Arg-CACNA1C leads to a gain of function with increased ICa,L and increased surface membrane expression of the channel compared to wild type. Subsequent mutational analysis identified 3 additional variants within CACNA1C in our cohort of 102 unrelated cases of genotype-negative/phenotype-positive LQTS. Two of these variants also involve conserved residues within Cav1.2's PEST domain.
This study provides evidence that coupling whole-exome sequencing and bioinformatic/systems biology is an effective strategy for the identification of potential disease-causing genes/mutations. The identification of a functional CACNA1C mutation cosegregating with disease in a single pedigree suggests that CACNA1C perturbations may underlie autosomal dominant LQTS in the absence of Timothy syndrome.
长QT综合征(LQTS)是最常见的心脏离子通道病,已明确15个与LQTS易感性相关的基因。约20%的LQTS病例在基因方面仍难以解释。
我们结合全外显子组测序以及生物信息学/系统生物学方法,在一个多代家系中鉴定导致非综合征性、基因型阴性、常染色体显性LQTS的致病底物,并在102例无亲缘关系的“基因型阴性/表型阳性”LQTS患者队列中确定已明确基因中变异的谱和患病率。对一个基因型阴性/表型阳性家族中的3名成员进行全外显子组测序。基因组三角测量结合生物信息学工具和排序算法,鉴定出一个CACNA1C突变。该突变,即Pro857Arg - CACNA1C,在家系中与疾病共分离,被3种疾病网络算法列为最可能的LQTS易感基因,且涉及位于II - III连接区脯氨酸、谷氨酸、丝氨酸和苏氨酸(PEST)结构域的一个保守残基。功能研究表明,与野生型相比,Pro857Arg - CACNA1C导致功能增强,ICa,L增加,通道表面膜表达增加。随后的突变分析在我们102例无亲缘关系的基因型阴性/表型阳性LQTS病例队列中,在CACNA1C内又鉴定出3个额外变异。其中2个变异也涉及Cav1.2的PEST结构域内的保守残基。
本研究提供证据表明,将全外显子组测序与生物信息学/系统生物学相结合是鉴定潜在致病基因/突变的有效策略。在一个单一家系中鉴定出与疾病共分离的功能性CACNA1C突变,提示在无蒂莫西综合征的情况下,CACNA1C功能紊乱可能是常染色体显性LQTS的基础。