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Updated: Aug 14, 2025

Measuring Neuromuscular Junction Functionality
Published on: August 6, 2017
Inherited myopathy plus: Double-trouble from rare neuromuscular disorders
Andre Granger1, Grayson Beecher1, Teerin Liewluck1
1Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Diagnosing rare inherited myopathies requires correlating genetic results with clinical symptoms. This study highlights the importance of this approach for accurate diagnosis and patient care in complex cases.
Area of Science:
- Neurology
- Genetics
- Rare Diseases
Background:
- Inherited myopathies are rare diseases, often diagnosed through genetic testing.
- Genetic findings in myopathies necessitate clinical correlation due to variable phenotypes and complex etiologies.
- Co-existing independent neuromuscular disorders can complicate diagnosis and management.
Purpose of the Study:
- To identify and characterize adult patients with inherited myopathies and co-existing rare neuromuscular disorders.
- To emphasize the clinical significance of correlating genetic diagnoses with patient phenotypes.
Main Methods:
- Retrospective search of medical records (2004-2020) at Mayo Clinic Rochester and Nationwide Children's Hospital.
- Inclusion criteria: pathogenic/likely pathogenic variants in myopathy-causative genes and a co-existing rare neuromuscular disorder.
- Review of clinical and laboratory findings for identified patients.
Main Results:
- Fourteen patients from 13 families met the criteria.
- Identified cases included "double-trouble" inherited myopathies, myopathy with idiopathic myositis, and myopathy with rare neurogenic disorders.
- Specific cases involved a DMD carrier with distal spinal muscular atrophy and a MYH7 variant patient with Sandhoff disease.
Conclusions:
- Genetic findings in inherited myopathies require careful clinical correlation for precise diagnosis.
- Accurate diagnosis is crucial for optimal patient care and prognosis in complex neuromuscular cases.
- This study underscores the importance of a holistic diagnostic approach integrating genetic and clinical data.
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