AI Article Synopsis

  • A study investigates the impact of evaluating rare de novo variants (DNVs) in whole exome sequencing (WES) for patients suspected of having inborn errors of immunity (IEI).
  • In a cohort of 123 patients, systematic assessment of DNVs led to identifying 14 potential candidates linked to immune functions, resulting in molecular diagnoses for some patients.
  • The research advocates for incorporating trio-based sequencing in routine diagnostics, providing evidence that certain loss-of-function mutations contribute to autoinflammatory diseases.

Article Abstract

Background: variants (DNVs) are currently not routinely evaluated as part of diagnostic whole exome sequencing (WES) analysis in patients with suspected inborn errors of immunity (IEI).

Methods: This study explored the potential added value of systematic assessment of DNVs in a retrospective cohort of 123 patients with a suspected sporadic IEI that underwent patient-parent trio-based WES.

Results: A (likely) molecular diagnosis for (part) of the immunological phenotype was achieved in 12 patients with the diagnostic IEI WES gene panel. Systematic evaluation of rare, non-synonymous DNVs in coding or splice site regions led to the identification of 14 candidate DNVs in genes with an annotated immune function. DNVs were found in IEI genes ( and ) and in potentially novel candidate genes, including , , and . The canonical splice site DNV was shown to lead to defective RNA splicing, increased NF-κB p65 signalling, and elevated IL-1β production in primary immune cells extracted from the patient with autoinflammatory disease.

Conclusions: Our findings in this retrospective cohort study advocate the implementation of trio-based sequencing in routine diagnostics of patients with sporadic IEI. Furthermore, we provide functional evidence supporting a causal role for loss-of-function mutations in autoinflammatory disease.

Funding: This research was supported by grants from the European Union, ZonMW and the Radboud Institute for Molecular Life Sciences.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635875PMC
http://dx.doi.org/10.7554/eLife.78469DOI Listing

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