Exome sequencing in undiagnosed congenital myopathy reveals new genes and refines genes-phenotypes correlations.

Centronuclear myopathy Congenital myopathy Core myopathy Exome sequencing Genetic diagnosis Genetic heterogeneity Myopathy Nemaline myopathy Phenotypic heterogeneity Tubular aggregate myopathy

Journal

Genome medicine
ISSN: 1756-994X
Titre abrégé: Genome Med
Pays: England
ID NLM: 101475844

Informations de publication

Date de publication:
09 Jul 2024
Historique:
received: 30 10 2023
accepted: 30 05 2024
medline: 10 7 2024
pubmed: 10 7 2024
entrez: 9 7 2024
Statut: epublish

Résumé

Congenital myopathies are severe genetic diseases with a strong impact on patient autonomy and often on survival. A large number of patients do not have a genetic diagnosis, precluding genetic counseling and appropriate clinical management. Our objective was to find novel pathogenic variants and genes associated with congenital myopathies and to decrease diagnostic odysseys and dead-end. To identify pathogenic variants and genes implicated in congenital myopathies, we established and conducted the MYOCAPTURE project from 2009 to 2018 to perform exome sequencing in a large cohort of 310 families partially excluded for the main known genes. Pathogenic variants were identified in 156 families (50%), among which 123 families (40%) had a conclusive diagnosis. Only 44 (36%) of the resolved cases were linked to a known myopathy gene with the corresponding phenotype, while 55 (44%) were linked to pathogenic variants in a known myopathy gene with atypical signs, highlighting that most genetic diagnosis could not be anticipated based on clinical-histological assessments in this cohort. An important phenotypic and genetic heterogeneity was observed for the different genes and for the different congenital myopathy subtypes, respectively. In addition, we identified 14 new myopathy genes not previously associated with muscle diseases (20% of all diagnosed cases) that we previously reported in the literature, revealing novel pathomechanisms and potential therapeutic targets. Overall, this approach illustrates the importance of massive parallel gene sequencing as a comprehensive tool for establishing a molecular diagnosis for families with congenital myopathies. It also emphasizes the contribution of clinical data, histological findings on muscle biopsies, and the availability of DNA samples from additional family members to the diagnostic success rate. This study facilitated and accelerated the genetic diagnosis of congenital myopathies, improved health care for several patients, and opened novel perspectives for either repurposing of existing molecules or the development of novel treatments.

Sections du résumé

BACKGROUND BACKGROUND
Congenital myopathies are severe genetic diseases with a strong impact on patient autonomy and often on survival. A large number of patients do not have a genetic diagnosis, precluding genetic counseling and appropriate clinical management. Our objective was to find novel pathogenic variants and genes associated with congenital myopathies and to decrease diagnostic odysseys and dead-end.
METHODS METHODS
To identify pathogenic variants and genes implicated in congenital myopathies, we established and conducted the MYOCAPTURE project from 2009 to 2018 to perform exome sequencing in a large cohort of 310 families partially excluded for the main known genes.
RESULTS RESULTS
Pathogenic variants were identified in 156 families (50%), among which 123 families (40%) had a conclusive diagnosis. Only 44 (36%) of the resolved cases were linked to a known myopathy gene with the corresponding phenotype, while 55 (44%) were linked to pathogenic variants in a known myopathy gene with atypical signs, highlighting that most genetic diagnosis could not be anticipated based on clinical-histological assessments in this cohort. An important phenotypic and genetic heterogeneity was observed for the different genes and for the different congenital myopathy subtypes, respectively. In addition, we identified 14 new myopathy genes not previously associated with muscle diseases (20% of all diagnosed cases) that we previously reported in the literature, revealing novel pathomechanisms and potential therapeutic targets.
CONCLUSIONS CONCLUSIONS
Overall, this approach illustrates the importance of massive parallel gene sequencing as a comprehensive tool for establishing a molecular diagnosis for families with congenital myopathies. It also emphasizes the contribution of clinical data, histological findings on muscle biopsies, and the availability of DNA samples from additional family members to the diagnostic success rate. This study facilitated and accelerated the genetic diagnosis of congenital myopathies, improved health care for several patients, and opened novel perspectives for either repurposing of existing molecules or the development of novel treatments.

Identifiants

pubmed: 38982518
doi: 10.1186/s13073-024-01353-0
pii: 10.1186/s13073-024-01353-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

87

Informations de copyright

© 2024. The Author(s).

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Auteurs

Yvan de Feraudy (Y)

IGBMC, Inserm U1258, Cnrs UMR7104, Université de Strasbourg, 1 Rue Laurent Fries, Illkirch, 67404, France.
Department of Pediatric Neurology, CHU Strasbourg, Strasbourg, France.
Centre de Référence Neuromusculaire Nord-Est-Île de France, Strasbourg, France.

Marie Vandroux (M)

IGBMC, Inserm U1258, Cnrs UMR7104, Université de Strasbourg, 1 Rue Laurent Fries, Illkirch, 67404, France.

Norma Beatriz Romero (NB)

Myology Institute, Neuromuscular Morphology Unit, Sorbonne Université, INSERM, GHU Pitié-Salpêtrière, Paris, France.

Raphaël Schneider (R)

IGBMC, Inserm U1258, Cnrs UMR7104, Université de Strasbourg, 1 Rue Laurent Fries, Illkirch, 67404, France.

Safaa Saker (S)

Genethon, DNA and Cell Bank, Evry, 91000, France.

Anne Boland (A)

Centre National de Recherche en Génomique Humaine (CNRGH), Université Paris-Saclay, CEA, Evry, 91057, France.

Jean-François Deleuze (JF)

Centre National de Recherche en Génomique Humaine (CNRGH), Université Paris-Saclay, CEA, Evry, 91057, France.

Valérie Biancalana (V)

IGBMC, Inserm U1258, Cnrs UMR7104, Université de Strasbourg, 1 Rue Laurent Fries, Illkirch, 67404, France.
Laboratoire de Diagnostic Génétique CHRU de Strasbourg, Strasbourg, 67091, France.

Johann Böhm (J)

IGBMC, Inserm U1258, Cnrs UMR7104, Université de Strasbourg, 1 Rue Laurent Fries, Illkirch, 67404, France.

Jocelyn Laporte (J)

IGBMC, Inserm U1258, Cnrs UMR7104, Université de Strasbourg, 1 Rue Laurent Fries, Illkirch, 67404, France. jocelyn@igbmc.fr.

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