Title[Phenotypic heterogeneity and phenotype-genotype correlations in dystrophinopathies: Contribution of genetic and clinical databases].
Publication TypeJournal Article
Year of Publication2013
AuthorsHumbertclaude V, Hamroun D, Picot M-C, Bezzou K, Bérard C, Boespflug-Tanguy O, Bommelaer C, Campana-Salort E, Cances C, Chabrol B, Commare M-C, Cuisset J-M, de Lattre C, Desnuelle C, Echenne B, Halbert C, Jonquet O, Labarre-Vila A, N'guyen-Morel M-A, Pages M, Pepin J-L, Petitjean T, Pouget J, Ollagnon-Roman E, Richelme C, Rivier F, Sacconi S, Tiffreau V, Vuillerot C, Béroud C, Tuffery-Giraud S, Claustres M
JournalRevue neurologique
Date Publishedaug

The objective of this work was to study the natural history of dystrophinopathies and the genotype-phenotype correlations made possible by the development of the clinical part of the French DMD database. The collection of 70,000 clinical data for 600 patients with an average longitudinal follow-up of 12years enabled clarification of the natural history of Duchenne and Becker muscular dystrophies and clinical presentations in symptomatic females. We were able to specify the phenotypic heterogeneity of motor, orthopedic and respiratory involvements (severe, standard and intermediary form), of the cardiac disorder (severe, standard or absent cardiomyopathy, absence of correlation between motor and cardiac involvements), and of brain function (mental deficiency in the patients with Becker muscular dystrophy, psychopathological disorders in dystrophinopathies). Phenotypic variability did not correlate with a specific mutational spectrum. We propose a model of phenotypic analysis based on the presence or not of muscular and cardiac involvements (described by age at onset and rate of progression) and brain involvement (described by the type and the severity of the cognitive impairment and of the psychological disorders). The methodology developed for the DMD gene can be generalized and used for other databases dedicated to genetic diseases. Application of this model of phenotypic analysis for each patient and further development of the database should contribute substantially to clinical research providing useful tools for future clinical trials.

PubMed ID23954141