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.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.