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Genetic diagnosis of Duchenne and Becker muscular dystrophy through mRNA analysis: new splicing events.

Authors :
Segarra-Casas, Alba
Domínguez-González, Cristina
Hernández-Laín, Aurelio
Sanchez-Calvin, Maria Teresa
Camacho, Ana
Rivas, Eloy
Campo-Barasoain, Andrea
Madruga, Marcos
Ortez, Carlos
Natera-de Benito, Daniel
Nascimento, Andrés
Codina, Anna
Rodriguez, Maria Jose
Gallano, Pia
Gonzalez-Quereda, Lidia
Source :
Journal of Medical Genetics; Jun2023, Vol. 60 Issue 6, p615-619, 5p
Publication Year :
2023

Abstract

Background: Up to 7% of patients with Duchenne muscular dystrophy (DMD) or Becker muscular dystrophy (BMD) remain genetically undiagnosed after routine genetic testing. These patients are thought to carry deep intronic variants, structural variants or splicing alterations not detected through multiplex ligation-dependent probe amplification or exome sequencing. Methods: RNA was extracted from seven muscle biopsy samples of patients with genetically undiagnosed DMD/BMD after routine genetic diagnosis. RT-PCR of the DMD gene was performed to detect the presence of alternative transcripts. Droplet digital PCR and whole-genome sequencing were also performed in some patients. Results: We identified an alteration in the mRNA level in all the patients. We detected three pseudoexons in DMD caused by deep intronic variants, two of them not previously reported. We also identified a chromosomal rearrangement between Xp21.2 and 8p22. Furthermore, we detected three exon skipping events with unclear pathogenicity. Conclusion: These findings indicate that mRNA analysis of the DMD gene is a valuable tool to reach a precise genetic diagnosis in patients with a clinical and anatomopathological suspicion of dystrophinopathy that remain genetically undiagnosed after routine genetic testing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00222593
Volume :
60
Issue :
6
Database :
Complementary Index
Journal :
Journal of Medical Genetics
Publication Type :
Academic Journal
Accession number :
164571899
Full Text :
https://doi.org/10.1136/jmg-2022-108828