Phenotype-driven genomics enhance diagnosis in children with unresolved neuromuscular diseases
- PMID: 39333429
- PMCID: PMC11840105
- DOI: 10.1038/s41431-024-01699-4
Phenotype-driven genomics enhance diagnosis in children with unresolved neuromuscular diseases
Erratum in
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Correction: Phenotype-driven genomics enhance diagnosis in children with unresolved neuromuscular diseases.Eur J Hum Genet. 2024 Dec 10. doi: 10.1038/s41431-024-01756-y. Online ahead of print. Eur J Hum Genet. 2024. PMID: 39658675 No abstract available.
Abstract
Establishing a molecular diagnosis remains challenging in half of individuals with childhood-onset neuromuscular diseases (NMDs) despite exome sequencing. This study evaluates the diagnostic utility of combining genomic approaches in undiagnosed NMD patients. We performed deep phenotyping of 58 individuals with unsolved childhood-onset NMDs that have previously undergone inconclusive exome studies. Genomic approaches included trio genome sequencing and RNASeq. Genetic diagnoses were reached in 23 out of 58 individuals (40%). Twenty-one individuals carried causal single nucleotide variants (SNVs) or small insertions and deletions, while 2 carried pathogenic structural variants (SVs). Genomic sequencing identified pathogenic variants in coding regions or at the splice site in 17 out of 21 resolved cases, while RNA sequencing was additionally required for the diagnosis of 4 cases. Reasons for previous diagnostic failures included low coverage in exonic regions harboring the second pathogenic variant and involvement of genes that were not yet linked to human diseases at the time of the first NGS analysis. In summary, our systematic genetic analysis, integrating deep phenotyping, trio genome sequencing and RNASeq, proved effective in diagnosing unsolved childhood-onset NMDs. This approach holds promise for similar cohorts, offering potential improvements in diagnostic rates and clinical management of individuals with NMDs.
© 2024. The Author(s), under exclusive licence to European Society of Human Genetics.
Conflict of interest statement
Competing interests: The authors declare no competing interests. Ethical approval: Data were collected and analyzed following the ethics guidelines of Hospital Sant Joan de Déu (PIC 98-20). The family provided written informed consent for the study.
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Grants and funding
- CP22/00141/Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III)
- PI22-00680/Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III)
- ACCI2021-20/Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III)
- 2024 FI-1 00075/Government of Catalonia | Agència de Gestió d'Ajuts Universitaris i de Recerca (Agency for Management of University and Research Grants)
- 2021-SGR-01610/Government of Catalonia | Agència de Gestió d'Ajuts Universitaris i de Recerca (Agency for Management of University and Research Grants)
- 413501650/Deutsche Forschungsgemeinschaft (German Research Foundation)
- FDN-167281/Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada)
- CFI-JELF 38412/Canada Foundation for Innovation (Fondation canadienne pour l'innovation)
- 950-232279/Canada Research Chairs (Chaires de recherche du Canada)
- PID2020-114655RB-100/Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación)
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