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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

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.

Details

Title
An Integrated Transcriptomics and Genomics Approach Detects an X/Autosome Translocation in a Female with Duchenne Muscular Dystrophy
Author
Segarra-Casas, Alba 1   VIAFID ORCID Logo  ; Yépez, Vicente A 2   VIAFID ORCID Logo  ; Demidov, German 3 ; Laurie, Steven 4 ; Esteve-Codina, Anna 5 ; Gagneur, Julien 6   VIAFID ORCID Logo  ; Parkhurst, Yolande 7 ; Muni-Lofra, Robert 8   VIAFID ORCID Logo  ; Harris, Elizabeth 8 ; Marini-Bettolo, Chiara 8 ; Straub, Volker 8   VIAFID ORCID Logo  ; Töpf, Ana 8   VIAFID ORCID Logo 

 John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne NE1 3BZ, UK; [email protected] (A.S.-C.); ; Genetics Department, Institut de Recerca Sant Pau (IR SANT PAU), Hospital de la Santa Creu i Sant Pau, Genetics and Microbiology Department, Universitat Autonoma de Barcelona, 08041 Barcelona, Spain 
 School of Computation, Information and Technology, Technical University of Munich, 85748 Garching, Germany 
 Universitätsklinikum Tübingen—Institut für Medizinische Genetik und angewandte Genomik, 72076 Tübingen, Germany 
 Centro Nacional de Análisis Genómico (CNAG), 08028 Barcelona, Spain 
 Centro Nacional de Análisis Genómico (CNAG), 08028 Barcelona, Spain; Universitat de Barcelona (UB), 08007 Barcelona, Spain 
 School of Computation, Information and Technology, Technical University of Munich, 85748 Garching, Germany; Institute of Human Genetics, School of Medicine, Technical University of Munich, 81675 Munich, Germany; Computational Health Center, Helmholtz Center Munich, 85764 Neuherberg, Germany 
 Muscle Immunoanalysis Unit, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne NE7 7DN, UK 
 John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne NE1 3BZ, UK; [email protected] (A.S.-C.); 
First page
7793
Publication year
2024
Publication date
2024
Publisher
MDPI AG
ISSN
16616596
e-ISSN
14220067
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3084930713
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.