Novel Partial Exon 51 Deletion in the Duchenne Muscular Dystrophy Gene Identified via Whole Exome Sequencing and Long-Read Whole-Genome Sequencing.

Duchenne muscular dystrophy (DMD), one of the most common progressive and severely disabling neuromuscular diseases in children, can be largely attributed to the loss of function of the DMD gene on chromosome Xp21.2-p21.1. This paper describes the case of a 10-year-old boy diagnosed with DMD. Whole exome sequencing confirmed the hypothesized large partial exonic deletion of c.7310-11543_7359del (chrX:g.31792260_31803852del) spanning exon 51 and intron 50 in DMD. This large deletion was verified to be de novo by PCR, and the two breakpoints were further confirmed by Sanger sequencing and long-read whole-genome sequencing. Notably, this partial exonic deletion was the only complex variation in the deep intron regions or intron-exon junction regions in DMD. In addition, the case study demonstrates the clinical importance of using multiple molecular genetic testing methods for the diagnosis of rare diseases.

Performance comparison of NextSeq and Ion Proton platforms for molecular diagnosis of clinical oncology.

PURPOSE: Next-generation sequencing is a powerful approach to detect genetic mutations with which cancer diagnosis and treatment can be tailored to the individual patient in the era of personalized and precision medicine. Ion Torrent Systems Ion Proton and Illumina NextSeq are 2 major targeted sequencing platforms; however, not much work has been done to compare these platforms' performance for mutation detection in formalin-fixed paraffin-embedded (FFPE) materials. METHODS: We benchmarked the performance by using a collection of FFPE samples from 23 patients with different cancers for NextSeq and Ion Proton platforms. We report analysis of sequencing in terms of average coverage depth, read length, and variant detection. RESULTS: Sequencing results by NextSeq and Ion Proton displayed near perfect coverage behavior (>99%) on target region. We analyzed the ability to call variants from each platform and found that Ion Proton sequencing can identify 89% of single nucleotide variants (SNVs) whose mutant allele frequency (MAF) is greater than or equal to 5% detected by the NextSeq pipeline in common analytical regions. The correlation coefficient of MAF for those common SNVs was 1.0046 (R2 = 0.973) between the 2 platforms. To call lower mutant frequency (5%-10%) mutations for NextSeq sequencing, coverage depth should be improved. The concordance of small insertions and deletions between these 2 pipelines was up to 100%. CONCLUSIONS: The 2 sequencing pipelines evaluated were able to generate usable sequence and had high concordance. They are proper for mutation detection in clinical application.