Clinical exome sequencing data from patients with inborn errors of immunity: Cohort level diagnostic yield and the benefit of systematic reanalysis
Publication date
2024-11
Authors
on behalf of all members of the Radboud University Medical Center multidisciplinary immune-disease board
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Advisors
Supervisors
Document Type
Article
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cc_by
Abstract
While next generation sequencing has expanded the scientific understanding of Inborn Errors of Immunity (IEI), the clinical use and re-use of exome sequencing is still emerging. We revisited clinical exome data from 1300 IEI patients using an updated in silico IEI gene panel. Variants were classified and curated through expert review. The molecular diagnostic yield after standard exome analysis was 11.8 %. Through systematic reanalysis, we identified variants of interest in 5.2 % of undiagnosed patients, with 76.7 % being (candidate) disease-causing, providing a (candidate) diagnosis in 15.2 % of our cohort. We find a 1.7 percentage point increase in conclusive molecular diagnoses. We find a high degree of actionability in patients with a genetic diagnosis (76.4 %). Despite the modest absolute diagnostic gain, these data support the benefit of iterative exome reanalysis in IEI patients, conveying the notion that our current understanding of genes and variants involved in IEI is by far not saturated.
Keywords
Autoimmune disorders, Autoinflammatory disorders, Clinical exome sequencing, Exome reanalysis, Genomics, Inborn errors of immunity, Longitudinal follow-up, NGS-based sequencing, Primary immunodeficiencies, Immunology and Allergy, Immunology
Citation
on behalf of all members of the Radboud University Medical Center multidisciplinary immune-disease board 2024, 'Clinical exome sequencing data from patients with inborn errors of immunity : Cohort level diagnostic yield and the benefit of systematic reanalysis', Clinical Immunology, vol. 268, 110375, pp. 1-17. https://doi.org/10.1016/j.clim.2024.110375