Genetic Variability of IFNAR2 Gene and Risk of COVID-19 Critical Illness Among the Tunisian Population

The IFNAR2 gene encodes an essential component of the type I interferon receptor, which is essential for antiviral defense. It has been proven that the severity of COVID-19 may be influenced by the genetic variants in IFNAR2; however, the results are inconclusive in the African cohorts. Thus, in this study, we investigate the association between three IFNAR2 SNPs and the critical form of COVID-19 in the Tunisian population. A total of 413 COVID-19 patients classified as hospitalized with critical illness (ICU) (n = 46) and non-hospitalized (n = 367) are included. Genotyping of three IFNAR2 polymorphisms (rs1051393, rs2236757, rs9984273) was performed using Taq Man RT-PCR assays. rs2236757 (OR = 0.31, 95% CI: 0.16–0.60), p = 4 × 10−4) and rs9984273 (OR = 0.41, 95% CI: 0.22–0.76, p = 0.0055) were associated with COVID-19 severity with a potential protective effect. However, rs1051393 did not show a significant association with disease severity. Additionally, exploratory haplotype analysis suggested a possible protective association for the TAC haplotype (OR = 0.11, 95% CI: 0.02–0.86, p = 0.036), based on a very small number of carriers and not significant after correction for multiple testing. The GAC haplotype, absent from ICU patients, yielded a continuity-corrected OR of 0.03 (95% CI [0.002–0.53]); this estimate rests on a zero cell and is hypothesis-generating only. These preliminary findings, obtained from a single-center cohort with a limited number of critically ill patients, warrant replication in larger, independent, and multicentric populations.

Authors

Institutions

Publication Details

Journal
Viruses
Published
2026-10-16
DOI
https://doi.org/10.3390/v18101149
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Variability of IFNAR2 Gene and Risk of COVID-19 Critical Illness Among the Tunisian Population

Noureddine Chatti, Abir Azri, Ikbel Hadj Hassine, Duaa Althumairy et al.
Viruses
COVID-19 Clinical Research Studies
article

Genetic Variability of IFNAR2 Gene and Risk of COVID-19 Critical Illness Among the Tunisian Population

Noureddine Chatti, Abir Azri, Ikbel Hadj Hassine, Duaa Althumairy, Jawhar Gharbi, Manel Ben M’hadheb-Gharbi, Mohammed A. Almalki, Hager Memni
article en

Abstract

The IFNAR2 gene encodes an essential component of the type I interferon receptor, which is essential for antiviral defense. It has been proven that the severity of COVID-19 may be influenced by the genetic variants in IFNAR2; however, the results are inconclusive in the African cohorts. Thus, in this study, we investigate the association between three IFNAR2 SNPs and the critical form of COVID-19 in the Tunisian population. A total of 413 COVID-19 patients classified as hospitalized with critical illness (ICU) (n = 46) and non-hospitalized (n = 367) are included. Genotyping of three IFNAR2 polymorphisms (rs1051393, rs2236757, rs9984273) was performed using Taq Man RT-PCR assays. rs2236757 (OR = 0.31, 95% CI: 0.16–0.60), p = 4 × 10−4) and rs9984273 (OR = 0.41, 95% CI: 0.22–0.76, p = 0.0055) were associated with COVID-19 severity with a potential protective effect. However, rs1051393 did not show a significant association with disease severity. Additionally, exploratory haplotype analysis suggested a possible protective association for the TAC haplotype (OR = 0.11, 95% CI: 0.02–0.86, p = 0.036), based on a very small number of carriers and not significant after correction for multiple testing. The GAC haplotype, absent from ICU patients, yielded a continuity-corrected OR of 0.03 (95% CI [0.002–0.53]); this estimate rests on a zero cell and is hypothesis-generating only. These preliminary findings, obtained from a single-center cohort with a limited number of critically ill patients, warrant replication in larger, independent, and multicentric populations.

VirusesVol. 18(10)
Western University (CA), University of Monastir (TN), King Faisal University (SA)
Good health and well-being
Openalex Percentile: Top 12%
COVID-19 Clinical Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.