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An Integrated Transcriptomics and Genomics Approach Detects an X/Autosome Translocation in a Female with Duchenne Muscular Dystrophy

Lookup NU author(s): Alba Segarra Casas, Yolande Parkhurst, Robert Muni Lofra, Professor Chiara Marini Bettolo, Professor Volker StraubORCiD, Dr Ana TopfORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024 by the authors. Duchenne and Becker muscular dystrophies, caused by pathogenic variants in DMD, are the most common inherited neuromuscular conditions in childhood. These diseases follow an X-linked recessive inheritance pattern, and mainly males are affected. The most prevalent pathogenic variants in the DMD gene are copy number variants (CNVs), and most patients achieve their genetic diagnosis through Multiplex Ligation-dependent Probe Amplification (MLPA) or exome sequencing. Here, we investigated a female patient presenting with muscular dystrophy who remained genetically undiagnosed after MLPA and exome sequencing. RNA sequencing (RNAseq) from the patient’s muscle biopsy identified an 85% reduction in DMD expression compared to 116 muscle samples included in the cohort. A de novo balanced translocation between chromosome 17 and the X chromosome (t(X;17)(p21.1;q23.2)) disrupting the DMD and BCAS3 genes was identified through trio whole genome sequencing (WGS). The combined analysis of RNAseq and WGS played a crucial role in the detection and characterisation of the disease-causing variant in this patient, who had been undiagnosed for over two decades. This case illustrates the diagnostic odyssey of female DMD patients with complex structural variants that are not detected by current panel or exome sequencing analysis.


Publication metadata

Author(s): Segarra-Casas A, Yepez VA, Demidov G, Laurie S, Esteve-Codina A, Gagneur J, Parkhurst Y, Muni-Lofra R, Harris E, Marini-Bettolo C, Straub V, Topf A

Publication type: Article

Publication status: Published

Journal: International Journal of Molecular Sciences

Year: 2024

Volume: 25

Issue: 14

Online publication date: 16/07/2024

Acceptance date: 11/07/2024

Date deposited: 06/08/2024

ISSN (print): 1661-6596

ISSN (electronic): 1422-0067

Publisher: MDPI

URL: https://doi.org/10.3390/ijms25147793

DOI: 10.3390/ijms25147793

Data Access Statement: Further details and data are available upon request from the corresponding author.

PubMed id: 39063034


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Funding

Funder referenceFunder name
779257European Commission
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
FPU20/06692
EST23/00463
Ministerio de Universidades

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