Genetic diagnosis of inborn errors of immunity using clinical exome sequencing

Front Immunol. 2023 May 31:14:1178582. doi: 10.3389/fimmu.2023.1178582. eCollection 2023.

Abstract

Inborn errors of immunity (IEI) include a variety of heterogeneous genetic disorders in which defects in the immune system lead to an increased susceptibility to infections and other complications. Accurate, prompt diagnosis of IEI is crucial for treatment plan and prognostication. In this study, clinical utility of clinical exome sequencing (CES) for diagnosis of IEI was evaluated. For 37 Korean patients with suspected symptoms, signs, or laboratory abnormalities associated with IEI, CES that covers 4,894 genes including genes related to IEI was performed. Their clinical diagnosis, clinical characteristics, family history of infection, and laboratory results, as well as detected variants, were reviewed. With CES, genetic diagnosis of IEI was made in 15 out of 37 patients (40.5%). Seventeen pathogenic variants were detected from IEI-related genes, BTK, UNC13D, STAT3, IL2RG, IL10RA, NRAS, SH2D1A, GATA2, TET2, PRF1, and UBA1, of which four variants were previously unreported. Among them, somatic causative variants were identified from GATA2, TET2, and UBA1. In addition, we identified two patients incidentally diagnosed IEI by CES, which was performed to diagnose other diseases of patients with unrecognized IEI. Taken together, these results demonstrate the utility of CES for the diagnosis of IEI, which contributes to accurate diagnosis and proper treatments.

Keywords: clinical exome sequencing; genetic diagnosis; inborn errors of immunity; incidental finding; next generation sequencing; somatic variant.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Asian People*
  • Exome Sequencing
  • Humans
  • Immune System Diseases* / genetics

Grants and funding

This research was supported by a grant from the National Research Foundation of Korea (2021R1I1A1A01045980) and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2019R1A6A1A03032869).