IGBMC, Inserm U1258, Cnrs UMR7104, Université de Strasbourg, 1 Rue Laurent Fries, Illkirch, 67404, France.
Department of Pediatric Neurology, CHU Strasbourg, Strasbourg, France.
Genome Med. 2024 Jul 9;16(1):87. doi: 10.1186/s13073-024-01353-0.
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: 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: 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: 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.
背景:先天性肌病是严重的遗传性疾病,对患者的自主性有很大影响,通常还会影响生存。大量患者没有遗传诊断,从而无法进行遗传咨询和适当的临床管理。我们的目标是寻找与先天性肌病相关的新的致病性变异和基因,减少诊断的曲折和困境。
方法:为了确定与先天性肌病相关的致病性变异和基因,我们从 2009 年至 2018 年建立并开展了 MYOCAPTURE 项目,对 310 个部分排除主要已知基因的家系进行外显子组测序。
结果:在 156 个家系(50%)中发现了致病性变异,其中 123 个家系(40%)得出明确诊断。在明确诊断的病例中,只有 44 个(36%)与具有相应表型的已知肌病基因相关,而 55 个(44%)与具有非典型表现的已知肌病基因的致病性变异相关,这突出表明在该队列中,大多数遗传诊断不能仅根据临床-组织学评估来预测。不同基因和不同先天性肌病亚型分别存在重要的表型和遗传异质性。此外,我们还发现了 14 个以前未与肌肉疾病相关的新的肌病基因(所有诊断病例的 20%),这些基因我们之前已在文献中报道过,揭示了新的发病机制和潜在的治疗靶点。
结论:总体而言,这种方法说明了大规模平行基因测序作为一种全面的工具,对于为先天性肌病家系建立分子诊断的重要性。它还强调了临床数据、肌肉活检的组织学发现以及额外家庭成员的 DNA 样本的可用性对诊断成功率的贡献。这项研究促进并加速了先天性肌病的基因诊断,改善了数名患者的医疗保健,并为现有分子的再利用或新型治疗方法的开发开辟了新的前景。
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