ArticleFrontiers in immunology2026
HLA allelic variation and COVID-19 severity in a Kuwait-based population: a high-resolution immunogenetic study.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Human leukocyte antigen (HLA) polymorphisms play a vital role in antiviral immunity, but their influence on COVID-19 severity differs significantly among ethnic groups. T-cell responses are essential for clearing SARS-CoV-2, yet the immunogenetic factors underlying the diverse clinical outcomes in COVID-19, especially in certain populations, are not fully understood. In a Kuwait-based cohort from national referral and public health facilities, we examined HLA allelic variants to identify potential protective or risk factors related to COVID-19 severity. Methods: We studied 494 participants: 75 healthy controls and 419 COVID-19 patients, classified by severity (Recovered, Moderate, Severe, Critical/ICU). HLA alleles at nine loci (HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1, -DPB1) were genotyped via next-generation sequencing. Associations with severity were tested using logistic regression, adjusting for age, sex, and ABO blood group, with the Severe/ICU group as the reference. This was repeated, excluding controls from the reference, to separate severity effects from susceptibility to infection. Results: HLA genotype was successfully linked to complete clinical/covariate data for 364 of 494 participants (74%; 60 Healthy, 77 Recovered, 125 Moderate, 66 Severe, 36 ICU), though linkage success was lower among ICU patients (47%) than other strata (75-82%), a difference we consider more likely attributable to attrition during critical care than to allele-related bias. Among these 364 participants, 22 HLA alleles spanning all nine genotyped loci showed nominal association with severe/critical disease (P < 0.10) in the primary model, predominantly risk-conferring: HLA-C*06:02:01 (OR 2.50, 95% CI 1.43-4.36, P = 0.001), HLA-DQB1*02:02:01 (OR 2.25, 1.31-3.88, P = 0.003), HLA-DRB1*15:03:01 (OR 4.65, 1.38-15.67, P = 0.013), HLA-A*29:02:01 (OR 14.11, 1.43-138.81, P = 0.023), and HLA-B*13:02:01 (OR 12.78, 1.31-124.18, P = 0.028), among others; one protective association was identified, HLA-A*31:01:02 (OR 0.26, 0.08-0.83, P = 0.023). These five associations remained directionally concordant in the sensitivity analysis excluding Healthy controls, whereas several weaker associations did not. None survived correction for multiple testing (FDR-adjusted q ranged from 0.36 to 0.99); a minimum-detectable-odds-ratio calculation indicated this cohort was powered to detect only large effects (OR ≈ 10 for a 1%-frequency allele after correction), consistent with underpowering rather than absence of true effect for several low-frequency candidates. Age remained the strongest independent predictor of severity (P < 0.001), whereas sex showed no significant association after adjustment (P = 0.289). Conclusion: This study provides a comprehensive characterisation of HLA allele frequencies in a Kuwait-based population, including their association with COVID-19 clinical outcomes. Age was a substantially more dominant determinant of COVID-19 severity than HLA genotype in this cohort. None of the identified HLA alleles retained statistical significance after correction for multiple testing; given both this power limitation and the absence of individual-level ancestry and vaccination data in a population with substantial genetic and demographic heterogeneity, these findings should be regarded as hypothesis-generating candidates for replication in larger, ancestry-adjusted, adequately powered cohorts.
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