Evidence map›Paper›PMID 41499460›Full record

SynthesisThe Journal of infectious diseases2026

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

Morgane Gélin, Élise Launay, Nicolas Vince

Abstract readSystematic Review
In one paragraph

Synthesis in The Journal of infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Morgane GélinNantes Université, INSERM, Ecole Centrale Nantes, CHU Nantes, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France.ORCID 0009-0007-9710-0532
Élise LaunayNantes Université, INSERM, Ecole Centrale Nantes, CHU Nantes, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France.ORCID 0000-0002-4081-4653
Nicolas VinceNantes Université, INSERM, Ecole Centrale Nantes, CHU Nantes, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France.ORCID 0000-0002-3767-6210

Funding

Nantes University
6 · The paper itself

Abstract

backgroundSevere 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.

methodsWe 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.

resultsTwelve 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.

conclusionsOverall, 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.

Indexed as

Bacterial InfectionsExome SequencingGenetic Predisposition to DiseaseHumansPhenotypeinborn errors of immunitypreviously healthy patientssevere bacterial infectionssystematic reviewWhole-exome sequencing

Identifiers

PMID41499460
PMCPMC13017026

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.