Devarajan Bharanidharan, Prakash Logambiga, Kannan Thirumalai Raj, Abraham Aloysius A, Kim Usha, Muthukkaruppan Veerappan, Vanniarajan Ayyasamy
Department of Bioinformatics, Aravind Medical Research Foundation, Madurai, India.
Department of Molecular Genetics, Aravind Medical Research Foundation, Madurai, India.
BMC Cancer. 2015 Apr 28;15:320. doi: 10.1186/s12885-015-1340-8.
The spectrum of RB1gene mutations in Retinoblastoma (RB) patients and the necessity of multiple traditional methods for complete variant analysis make the molecular diagnosis a cumbersome, labor-intensive and time-consuming process. Here, we have used targeted next generation sequencing (NGS) approach with in-house analysis pipeline to explore its potential for the molecular diagnosis of RB.
Thirty-three patients with RB and their family members were selected randomly. DNA from patient blood and/or tumor was used for RB1 gene targeted sequencing. The raw reads were obtained from Illumina Miseq. An in-house bioinformatics pipeline was developed to detect both single nucleotide variants (SNVs) and small insertions/deletions (InDels) and to distinguish between somatic and germline mutations. In addition, ExomeCNV and Cn. MOPS were used to detect copy number variations (CNVs). The pathogenic variants were identified with stringent criteria, and were further confirmed by conventional methods and cosegregation in families.
Using our approach, an array of pathogenic variants including SNVs, InDels and CNVs were detected in 85% of patients. Among the variants detected, 63% were germline and 37% were somatic. Interestingly, nine novel pathogenic variants (33%) were also detected in our study.
We demonstrated for the first time that targeted NGS is an efficient approach for the identification of wide spectrum of pathogenic variants in RB patients. This study is helpful for the molecular diagnosis of RB in a comprehensive and time-efficient manner.
视网膜母细胞瘤(RB)患者中RB1基因突变谱以及采用多种传统方法进行完整变异分析的必要性,使得分子诊断成为一个繁琐、 labor-intensive且耗时的过程。在此,我们使用靶向二代测序(NGS)方法及内部分析流程来探索其在RB分子诊断中的潜力。
随机选择33例RB患者及其家庭成员。患者血液和/或肿瘤的DNA用于RB1基因靶向测序。原始 reads 从Illumina Miseq获得。开发了一个内部生物信息学流程来检测单核苷酸变异(SNV)和小插入/缺失(InDel),并区分体细胞和种系突变。此外,使用ExomeCNV和Cn.MOPS检测拷贝数变异(CNV)。通过严格标准鉴定致病变异,并通过传统方法和家族共分离进一步确认。
使用我们的方法,在85%的患者中检测到一系列包括SNV、InDel和CNV的致病变异。在检测到的变异中,63%是种系变异,37%是体细胞变异。有趣的是,在我们的研究中还检测到9个新的致病变异(33%)。
我们首次证明靶向NGS是鉴定RB患者广泛致病变异的有效方法。本研究有助于以全面且高效的方式对RB进行分子诊断。