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NGS-based targeted sequencing identified six novel variants in patients with Duchenne/Becker muscular dystrophy from southwestern China

Authors :
Feng Tang
Yuanyuan Xiao
Cong Zhou
Haixia Zhang
Jing Wang
Yang Zeng
Source :
BMC Medical Genomics, Vol 16, Iss 1, Pp 1-13 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background At present, Multiplex ligation-dependent probe amplification (MLPA) and exome sequencing are common gene detection methods in patients with Duchenne muscular dystrophy or Becker muscular dystrophy (DMD/BMD), but they can not cover the whole-genome sequence of the DMD gene. In this study, the whole genome capture of the DMD gene and next-generation sequencing (NGS) technology were used to detect the patients with DMD/BMD in Southwest China, to clarify the application value of this technology and further study the gene variant spectrum. Methods From 2017 to 2020, 51 unrelated patients with DMD/BMD in southwestern China were clinically diagnosed at West China Second University Hospital of Sichuan University (Chengdu, China). The whole-genome of the DMD gene was captured from the peripheral blood of all patients, and next-generation sequencing was performed. Large copy number variants (CNVs) in the exon regions of the DMD gene were verified through MLPA, and small variations (such as single nucleotide variation and A, c.1842del, c.5015del, c.5791_5792insCA, and exons 38–50 duplication. Conclusions Pathogenic or likely pathogenic variants of the DMD gene were detected in 49 patients (96.1% [49/51]), of which 6 variants (12.2% [6/49]) had not been previously reported. This study confirmed the value of NGS-based targeted sequencing for the DMD gene expanding the spectrum of variants in DMD, which may provide effective genetic counseling and prenatal diagnosis for families.

Details

Language :
English
ISSN :
17558794
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.02673eacbac84ab1bd45086066afbbeb
Document Type :
article
Full Text :
https://doi.org/10.1186/s12920-023-01556-1