4.2 Article

Phenotypic stratification and genotype-phenotype correlation in a heterogeneous, international cohort of GNE myopathy patients: First report from the GNE myopathy Disease Monitoring Program, registry portion

Journal

NEUROMUSCULAR DISORDERS
Volume 28, Issue 2, Pages 158-168

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.nmd.2017.11.001

Keywords

GNE myopathy; Hereditary inclusion body myopathy; Distal myopathy; Rare neuromuscular disorders; Epidemiology; Genotype-phenotype correlation

Funding

  1. Medical Research Council UK

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GNE myopathy is a rare distal myopathy, caused by mutations in the GNE gene, affecting sialic acid synthesis. Clinical presentation varies from asymptomatic early stage patients to severely debilitating forms. This first report describes clinical presentations and severity of the disease, using data of 150 patients collected via the on-line, patient-reported registry component of the GNE Myopathy Disease Monitoring Program (GNEM-DMP). Disease progression was prospectively analysed, over a 2-year period, using the GNE myopathy functional activity scale (GNEM-FAS). The average annual rates of decline in function were estimated at -9.6% and -3.2% in ambulant and non-ambulant patients respectively. 4.3% of participants became non-ambulant within one year. The mean time from onset to required use of a wheelchair was 11.9 years. Mean delay of genetic diagnosis from symptom onset was 5.2 years. Mutation specific analysis demonstrated genotype phenotype relationships; i.e. p.A1a662Val may be associated with a more severe phenotype, compared to p.Va1727Met. Patients with compound heterozygous mutation in epimerase and kinase domain appeared to have a more severe phenotype compared to patients with both mutations located within one domain. Acknowledging the limitations of the study, these findings suggest that the severity of the GNE mutations affects disease severity. The GNEM-DMP is a useful data collection tool, prospectively measuring the progression of GNE myopathy, which could play an important role in translational and clinical research and further understanding of genotype phenotype correlations. (C) 2017 The Authors. Published by Elsevier B.V.

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