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通过外显子组测序进行生存运动神经元基因拷贝数分析:辅助脊髓性肌萎缩症的诊断和携带者筛查。

Survival Motor Neuron Gene Copy Number Analysis by Exome Sequencing: Assisting Spinal Muscular Atrophy Diagnosis and Carrier Screening.

机构信息

Institute of Biomedical Sciences, Children's Hospital of Fudan University, Shanghai, People's Republic of China.

Shanghai Key Laboratory of Birth Defects, Pediatrics Research Institute, Shanghai, People's Republic of China.

出版信息

J Mol Diagn. 2020 May;22(5):619-628. doi: 10.1016/j.jmoldx.2020.01.015. Epub 2020 Feb 21.

DOI:10.1016/j.jmoldx.2020.01.015
PMID:32092542
Abstract

Spinal muscular atrophy (SMA) is a leading genetic cause of infant death, influenced by the copy number of two highly homologous genes: SMN1 and SMN2. Although exome sequencing is widely applied for genetic testing, SMA diagnosis and carrier screening have not been incorporated in routine data analysis and lack evaluation in clinical applications. We established a workflow for the SMN gene copy number analysis through uniquely mapped reads on exon 7 of SMN genes and the control region. The workflow was applied retrospectively in the enrolled cohort and validated with multiple ligation-dependent probe amplification. The predictions of this method are completely consistent with a benchmark data set (n = 104). The retrospective analysis in the Neonatal Intensive Care Unit cohort detected and confirmed eight SMN1 homozygous deletions and 60 carriers (n = 3734). With experimental confirmation, the receiver operating characteristic curve analysis showed the area under the curve of 100% and 97.8%, respectively, in predicting SMN1 homozygous and heterozygous deletion events, and 99.2% and 96.2%, respectively, in SMN2 deletion and duplication events. The results showed favorable ability in SMN genes copy number status prediction based on real clinical sequencing data. This study provides a precise and portable workflow for SMN genes copy number analysis based on exome sequencing, assisting SMA diagnosing, carrier screening, and disease severity warning in clinical application.

摘要

脊髓性肌萎缩症(SMA)是导致婴儿死亡的主要遗传原因,受两个高度同源基因 SMN1 和 SMN2 的拷贝数影响。虽然外显子组测序已广泛应用于基因检测,但 SMA 的诊断和携带者筛查尚未纳入常规数据分析,也缺乏临床应用的评估。我们通过在 SMN 基因外显子 7 和调控区的唯一映射读取建立了 SMN 基因拷贝数分析的工作流程,并通过多重连接依赖性探针扩增对该流程进行了验证。该方法的预测与基准数据集(n=104)完全一致。在新生儿重症监护病房队列的回顾性分析中,检测并确认了 8 个 SMN1 纯合缺失和 60 个携带者(n=3734)。通过实验验证,受试者工作特征曲线分析分别显示 100%和 97.8%的曲线下面积,用于预测 SMN1 纯合和杂合缺失事件,以及 99.2%和 96.2%的 SMN2 缺失和重复事件。结果表明,该方法在基于真实临床测序数据的 SMN 基因拷贝数状态预测方面具有良好的能力。本研究为基于外显子组测序的 SMN 基因拷贝数分析提供了一种精确且便携的工作流程,有助于 SMA 的诊断、携带者筛查以及疾病严重程度预警在临床应用中的应用。

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