# Whole-Exome Sequencing for the Identification of Genetic Factors Implicated in Severe Bacterial Infections: A Systematic Review

**Authors:** Morgane Gélin, Élise Launay, Nicolas Vince

PMC · DOI: 10.1093/infdis/jiag006 · The Journal of Infectious Diseases · 2026-01-07

## TL;DR

This review examines how whole-exome sequencing helps identify genetic factors linked to severe bacterial infections in previously healthy individuals.

## Contribution

The paper systematically reviews WES studies to highlight their role in diagnosing inborn errors of immunity in SBI patients.

## Key findings

- WES identified disease-causing variants in 42% of SBI patients without prior infection predisposition.
- Studies showed WES successfully detects genetic associations with various SBI phenotypes.
- Collaboration is needed to improve variant prioritization and achieve robust statistical results.

## Abstract

Severe bacterial infections (SBIs) represent a major health issue worldwide. Many studies have explored patients’ genetic predispositions to SBI, but most of them chose a candidate-gene design. Only few adopted a whole-exome sequencing (WES) approach. We aimed at reporting nontargeted WES studies describing genetic variants associated with SBI susceptibility in previously healthy patients without a known predisposition for infections.

We included studies using WES in previously healthy patients who had SBI. We excluded studies that included nonbacterial infections or patients with a known genetic or dysimmune disorders. We assessed certainty in the body of evidence and detected risk of bias. Studies were grouped according to the patients' infectious phenotype to present main common characteristics and compare results.

Twelve studies were included, gathering 694 patients with WES data. They described genetic associations with various infectious phenotypes, using heterogenous methods to prioritize genetic variants. This diversity led to the identification of different genes or pathways associated with infection susceptibility or severity, supporting WES use in patients with SBI. WES was also a performant diagnostic tool. In this review, 42% of previously healthy patients with SBI had putatively disease-causing variants in genes with inborn errors of immunity.

Overall, included studies supported the use of WES as they successfully diagnosed inborn errors of immunity in patients with SBI. Future studies should follow strict guidelines to correctly prioritize disease-causing variants. Because of the rarity of this disease, sample sizes are often limited. Collaboration between research teams should allow for large-scale studies with robust statistical results.

We gathered 12 well-conducted studies analyzing genetic predisposition to various severe bacterial infection (SBI) phenotypes. Next-generation sequencing in this context identifies new associations with genes not yet linked to SBI and the diagnostic performance of whole-exome sequencing.

Graphical AbstractFor image description, please refer to the figure legend and surrounding text.

## Linked entities

- **Diseases:** inborn errors of immunity (MONDO:0003778)

## Full-text entities

- **Diseases:** dysimmune disorders (MESH:D009358), genetic or (MESH:D030342), inborn errors of immunity (MESH:D007154), SBI (MESH:D045169), infection (MESH:D007239), bacterial infections (MESH:D001424)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13017026/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC13017026/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC13017026/full.md

---
Source: https://tomesphere.com/paper/PMC13017026