Expanding the Molecular Genetic Landscape of Dystrophinopathies and Associated Phenotypes

<b>Background/Objectives</b>: X-linked dystrophinopathies are a group of neuromuscular diseases caused by pathogenic variants in the <i>DMD</i> gene (MIM *300377). Duchenne muscular dystrophy (DMD; MIM #310200) is the most common inherited muscular dystrophy. <b>Methods</b>: We screened datasets of 403 male, genetically confirmed X-linked dystrophinopathy patients and identified 13 pathogenic variants of the <i>DMD</i> gene that have not been described in the literature thus far. For all patients we provide additional data on the clinical course, genotype-phenotype correlations as well as histological datasets of nine patients. In two cases, we used RNA-Seq analyses, showing that this method can be particularly helpful in cases of deep intrinsic variants. <b>Results</b>: We were able to show, that a combination of the different datasets is helpful to counsel families and provides a better understanding of the underlying pathophysiology. <b>Conclusions</b>: Overall, we elaborated upon the persistent challenge of determining the course of disease from genetic analysis alone, rather supporting the concept of a clinical continuum of dystrophinopathies with our combined clinical, histological and molecular genetic findings.

Authors

Institutions

Publication Details

Journal
Biomedicines
Published
2024-11-29
DOI
https://doi.org/10.3390/biomedicines12122738
Citations
2
Primary Topic
Muscle Physiology and Disorders
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Expanding the Molecular Genetic Landscape of Dystrophinopathies and Associated Phenotypes

Corinna Preuße, Ann‐Kathrin Zaum, Katja Neuhoff, Ozge Aksel Kilicarslan et al.
2 citations
Biomedicines
Muscle Physiology and Disorders
0.47
article

Expanding the Molecular Genetic Landscape of Dystrophinopathies and Associated Phenotypes

Corinna Preuße, Ann‐Kathrin Zaum, Katja Neuhoff, Ozge Aksel Kilicarslan, Andrea Gangfuß, Ulrike Schara‐Schmidt, Andreas Roos, Kiran Polavarapu, Hanns Lochmüller, Heike Kölbel
article en
2 citations

Abstract

<b>Background/Objectives</b>: X-linked dystrophinopathies are a group of neuromuscular diseases caused by pathogenic variants in the <i>DMD</i> gene (MIM *300377). Duchenne muscular dystrophy (DMD; MIM #310200) is the most common inherited muscular dystrophy. <b>Methods</b>: We screened datasets of 403 male, genetically confirmed X-linked dystrophinopathy patients and identified 13 pathogenic variants of the <i>DMD</i> gene that have not been described in the literature thus far. For all patients we provide additional data on the clinical course, genotype-phenotype correlations as well as histological datasets of nine patients. In two cases, we used RNA-Seq analyses, showing that this method can be particularly helpful in cases of deep intrinsic variants. <b>Results</b>: We were able to show, that a combination of the different datasets is helpful to counsel families and provides a better understanding of the underlying pathophysiology. <b>Conclusions</b>: Overall, we elaborated upon the persistent challenge of determining the course of disease from genetic analysis alone, rather supporting the concept of a clinical continuum of dystrophinopathies with our combined clinical, histological and molecular genetic findings.

BiomedicinesVol. 12(12)
University of Ottawa (CA), University of Freiburg (DE), University of Würzburg (DE), Children's Hospital of Eastern Ontario (CA), Ottawa Hospital (CA), University Medical Center Freiburg (DE), Centro Nacional de Análisis Genómico (ES), Heinrich Heine University Düsseldorf (DE), Charité - Universitätsmedizin Berlin (DE)
Canada Foundation for Innovation, European Commission, Canada Research Chairs, Canadian Institutes of Health Research, European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 34%
Muscle Physiology and Disorders
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.