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Innate immunogenetic synergy between KIR and Neanderthal-derived OAS variants predicts COVID-19 outcomes

  • Hasan Yalim Akin,

    Roles Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft

    Affiliation Cord Blood Bank, Ankara University Faculty of Medicine, Ankara, Turkey

  • Timur Tuncali,

    Roles Conceptualization, Methodology, Supervision, Writing – review & editing

    Affiliation Department of Medical Genetics, Ankara University Faculty of Medicine, Ankara, Turkey

  • Emine Begum Gencer,

    Roles Data curation, Investigation, Methodology

    Affiliation Cord Blood Bank, Ankara University Faculty of Medicine, Ankara, Turkey

  • Guldane Cengiz Seval,

    Roles Conceptualization, Data curation, Investigation

    Affiliation Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey

  • Elif Mukime Saricaoglu,

    Roles Data curation, Resources

    Affiliation Department of Infectious Diseases and Clinical Microbiology, Ankara University Faculty of Medicine, Ankara, Turkey

  • Ezgi Gulten,

    Roles Data curation, Resources

    Affiliation Department of Infectious Diseases and Clinical Microbiology, Ankara University Faculty of Medicine, Ankara, Turkey

  • Irem Akdemir Kalkan,

    Roles Data curation, Resources

    Affiliation Department of Infectious Diseases and Clinical Microbiology, Ankara University Faculty of Medicine, Ankara, Turkey

  • Gule Cinar,

    Roles Data curation, Resources

    Affiliation Department of Infectious Diseases and Clinical Microbiology, Ankara University Faculty of Medicine, Ankara, Turkey

  • Osman Memikoglu,

    Roles Data curation, Resources

    Affiliation Department of Infectious Diseases and Clinical Microbiology, Ankara University Faculty of Medicine, Ankara, Turkey

  • Ridvan Goksel Anliacik,

    Roles Data curation, Formal analysis

    Affiliation Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey

  • Ezgi Anliacik,

    Roles Data curation, Formal analysis

    Affiliation Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey

  • Ergun Karaagaoglu ,

    Contributed equally to this work with: Ergun Karaagaoglu, Klara Dalva

    Roles Formal analysis, Methodology, Supervision

    Affiliation Department of Biostatistics, Lokman Hekim University Faculty of Medicine, Ankara, Turkey

  • Klara Dalva ,

    Contributed equally to this work with: Ergun Karaagaoglu, Klara Dalva

    Roles Data curation, Investigation, Methodology, Supervision

    Affiliation Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey

  • Meral Beksac

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

    meral.beksac@istinye.edu.tr

    Current address: Department of Hematology, Ankara Liv Hospital, Istinye University, Ankara, Turkey

    Affiliation Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey

Abstract

Background

Genetic factors modulate the progression of coronavirus disease 2019 (COVID-19), but interactions between innate immune gene variants remain incompletely understood. Prior work identified Killer Immunoglobulin-like Receptor (KIR) genotypes and Neanderthal-introgressed OAS1/2/3 haplotypes as key modulators of disease severity. Given these parallel findings, we aimed to evaluate the synergistic impact of KIR motifs, Neanderthal-inherited OAS1/2/3 variants, and other immune-related SNPs on COVID-19 symptomatology and severity.

Methods

In a cohort of 175 unvaccinated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive individuals (65 asymptomatic, 47 mild-intermediate, 63 severe), we genotyped KIR/KIR-ligand motifs and variants in OAS1/2/3, IFITM3, DPP4, TLR7, and APOE. Multivariate logistic regression models assessed independent and interactive predictors of symptomatic and severe disease, and ROC curve analysis was performed to quantify their discriminative ability.

Results

An interaction between the absence of both the protective tAB1/wL KIR motif and the Neanderthal-derived OAS1/2/3 alleles significantly predicted symptomatic infection (OR 3.47, P = 0.006) and severe disease (OR 2.41, P = 0.038), achieving overall classification accuracies of 75.4% and 78.9%, respectively. Independent predictors included age, male gender, rs12252 (IFITM3) and rs3788979 (DPP4) as risk factors, and blood group A and APOE ε3ε3 status as protective factors. No rare TLR7 variants were detected.

Conclusion

This study identifies, for the first time, a synergistic interaction between KIR motifs and Neanderthal-derived OAS1/2/3 variants influencing COVID-19 outcomes. These findings highlight the interplay between ancient and modern innate immune adaptations in shaping viral disease susceptibility. Future studies in larger and diverse populations are warranted to validate these immunogenetic interactions.

Introduction

The clinical course of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection displays wide heterogeneity, ranging from asymptomatic to critical illness and death [1]. While demographic and clinical factors such as age, comorbidities, and blood group influence coronavirus disease 2019 (COVID-19) severity, host genetics may also play a substantial role in disease outcomes [24].

Among immunogenetic factors, Killer Immunoglobulin-like Receptors (KIRs), encoded on chromosome 19q13.4, have been implicated in modulating antiviral responses. Anthropologically KIR genes, which mostly interact with specific human leukocyte antigen (HLA) class I ligands, evolved relatively recently compared to HLA loci and exhibit extensive polymorphism and copy number variations. Previous studies, including our own, have associated specific KIR genotypes and haplotype motifs with COVID-19 severity, highlighting the importance of innate immune signaling diversity, particularly its role in the clearance of SARS-CoV-2 infected cells through NK cell activation mediated by KIR-HLA ligand interactions [57].

Another evolutionary aspect of immune responsiveness involves Neanderthal-introgressed genomic regions. Zeberg and Pääbo (2020) identified a Neanderthal-derived haplotype on chromosome 3p21.31, encompassing genes such as SLC6A20, LZTFL1, and CCR9, that confers increased risk of severe COVID-19 [8]. However, a subsequent study by the same group [9] revealed a distinct Neanderthal-inherited haplotype at the OAS1/2/3 locus on chromosome 12q24.13, which instead provides protection against severe disease. These findings underscore the dualistic impact of Neanderthal ancestry on COVID-19 outcomes, with both risk-enhancing and protective genomic segments persisting in modern human populations.

The OAS1/2/3 gene cluster encodes oligoadenylate synthetases that activate RNase L-mediated degradation of viral RNA, constituting a key arm of the interferon-stimulated antiviral response. Functional studies have shown that the Neanderthal-derived allele at OAS1 (rs10774671-G), which preserves an ancestral splice variant, results in higher enzymatic activity and enhanced viral restriction [10,11]. In addition to rs10774671, the Neanderthal-introgressed OAS haplotypes include three missense variants (rs2660, rs1293767 and rs1859330) and two synonymous variants (rs1859329 and rs2285932), all of which have been associated with an altered course of various viral infections [9,12]. Considering that the protective Neanderthal alleles at OAS1/2/3 are annotated as the reference alleles in GRCh38 (OAS1: rs10774671-G and rs2660-G; OAS2: rs1293767-C; OAS3: rs1859330-G, rs1859329-C and rs2285932-T), individuals lacking the alternate variants in OAS1/2/3 are expected to mount more effective innate immune responses to RNA viruses such as SARS-CoV-2.

Given these parallel findings on KIR variability and Neanderthal-introgressed OAS1/2/3 alleles, we hypothesized that their interaction might synergistically modulate COVID-19 outcomes. In the present study, we systematically evaluated the combined influence of KIR haplotype motifs, OAS1/2/3 protective variants, and additional polymorphisms in immune-related genes (IFITM3: restriction of virus replication [13]; DPP4: viral entry, inflammatory response and insulin resistance [14]; TLR7: interferon induction [15]; APOE: immunometabolic regulation [16]) on COVID-19 symptomatology and severity. Notably, individuals were classified as OAS1/2/3(-) if they carried at least one Neanderthal-derived protective allele (rs10774671-G, rs2660-G, rs1293767-C, rs1859330-G, rs1859329-C or rs2285932-T), consistent with prior functional and population genetic evidence. By integrating these immunogenetic factors within multivariate predictive models, we sought to identify key genetic determinants of disease progression in a cohort of unvaccinated individuals infected with SARS-CoV-2.

Methods

Participants

This study was approved by the Ministry of Health and Ethical Committee of Ankara University (Ministry of Health, 05.05.2021; Local Ethical Committee, i5-266–20 and i6-420–21) with a planned study design. This study included a total of 175 unvaccinated patients (65 asymptomatic, 47 mild-intermediate and 63 severe) who tested positive for COVID-19 by PCR and had a self-reported history of their first confirmed infection; of whom 104 of the patients (52 asymptomatic, 27 mild-intermediate and 25 severe) were included from our previous study [5] during the first surge of COVID-19 in Turkey between 6 June 2020–1 November 2020. In order to reach an adequate sample size for extended analysis of KIRs and SNPs together, additional 71 patients (13 asymptomatic, 20 mild-intermediate and 38 severe) were recruited into the study between 11 July 2021–08 December 2021. All asymptomatic patients were tested for SARS-CoV-2 during health screening procedures, due to environmental exposure risk or household contact with COVID-19 patients. Age, gender, comorbidities, blood groups, clinical and biochemical parameters were recorded, and written informed consents were obtained from all patients prior to the study. Population-level consistency of the blood group distribution in our cohort was compared to the 2024 update from Turkish Red Crescent [https://www.kanver.org/. Accessed 20 Mar 2025]. Severity of the infections were classified as asymptomatic, mild-intermediate or severe (intensive care unit admission) according to the WHO (2020) guidelines [17]. Patient groups were analyzed in two categories: asymptomatic vs. symptomatic (mild-intermediate + severe), and severe vs. non-severe (asymptomatic + mild-intermediate). Further classification was performed according to the number of comorbidities (none, one or greater than one), age intervals (< 35, 35–50, 51–64, ≥ 65) and blood groups (group A vs others).

Genotyping

DNA isolation from the peripheral blood samples was performed using DNA Blood Kit (Qiagen, Netherlands, Cat. No: 951034) or QIAamp DNA Investigator Kit (Qiagen, Netherlands; Cat. No: 56504) on the Easy1 Advanced XL (Qiagen, Netherlands) platform. KIR and KIR ligand genotyping were performed using Olerup SSP KIR Genotyping (Olerup, Stockholm, Sweden, Cat. No: 104.101-12U) and KIR HLA Ligand PCR SSP (Olerup, Stockholm, Sweden; Cat. No: SSP 104.201-12U) kits, respectively. The resulting PCR amplicons were visualized under UV light after agarose gel electrophoresis to identify KIR-specific amplicon bands. A total of 17 different KIR genes (KIR2DL1, 2DL2, 2DL3, 2DL4, 2DL5A, 2DL5B, 2DS1, 2DS2, 2DS3, 2DS4, 2DS5, 3DL1, 3DL2, 3DL3, 3DS1 and 2 pseudogenes namely 2DP1 and 3DP1) and 4 KIR ligand genotypes (C1, C2, Bw4, A-Bw4) were analyzed in this study. KIR haplotype motifs were identified based on the KIR gene combinations identified by Cisneros et al. (2020) [18]. For simplicity, the telomeric genotypes tAA + Bw4 + ABw4+ and tAB1 + Bw4 + C2 + are expressed as tAA/wL (with ligands) and tAB1/wL, respectively, throughout the paper. This study included the genotypes tAB1/wL (KIR genes 3DS1 + 2DS5 + 2DS1 + 2DS4 + 2DL5A + 3DL1 + , and KIR ligands Bw + C2+) and tAA/wL (KIR genes 2DS4 + 3DL1 + , and KIR ligands Bw4 + ABw4+), which were found to be significantly associated with COVID-19 severity in our previous study [5].

Next-generation sequencing was used to analyze extracted DNA samples and identify immune system-associated polymorphisms (rs12252, rs6598045, rs34481144, g.12905756_12905759del and g.12906010)., G > T, G-308A, rs3788979 and rs429358), as well as Neanderthal-derived SNPs in regions 3p21.31 and 12q24.13 (rs11385942, rs10774671, rs1293767, rs1859330, rs1859329 and rs2285932). Either the reference or the alternate alleles of these SNPs have previously been associated with SARS-CoV-2 susceptibility or disease severity in earlier publications (S1 Table). Results were obtained as wild type, heterozygous or homozygous genotypes. OAS genotypes were classified as “not homozygous (-) vs homozygous (+)” according to the carriage of at least one Neanderthal-inherited allele in the genotype. According to the reference assembly alleles reported in dbSNP (https://www.ncbi.nlm.nih.gov/snp/. Accessed 31 July 2025), OAS genotypes lacking the Neanderthal alleles are annotated as OAS1/2/3(+) and genotypes carrying at least one of the Neanderthal-derived protective alleles (rs10774671-G, rs2660-G, rs1293767-C, rs1859330-G, rs1859329-C or rs2285932-T) are annotated as OAS1/2/3(-) throughout the paper. SNPs associated with IFITM3 and DPP4 were classified based on the presence or absence of the minor alleles in the genotype, i.e., “wild type (-) vs not wild type (+)”, allowing for an exact comparison with the earlier publications. A gene–gene interaction network was illustrated using the GeneMANIA platform (https://genemania.org/. Accessed 23 January 2026) to provide a conceptual overview of known connections between KIR-associated HLA signaling components and other observed genetic associations. Gene variant frequencies derived from Turkish Genome Project (TUSEB) Data Sharing Portal were used for validation of the frequencies across the general Turkish population (https://tgd.tuseb.gov.tr/en/. Accessed 29 Dec 2024). A total of 75 KIR- and HLA-typed donors who had been registered in the Ankara University Donor Registry between 5 February 2013 and 4 December 2020 were also subjected to SNP analysis. These donors had a median age of 43 (25–76) and were included in the study to validate the frequencies of SNPs and KIR/KIR ligands within the Turkish population.

Statistical analysis

The distribution of KIR genotypes (tAA/wL and tAB1/wL), blood groups, gender and comorbidity frequencies among the asymptomatic, mild-intermediate and severe cases was evaluated using Chi-square or two tailed Fisher’s exact tests as appropriate. For continuous variables, either one-way ANOVA or the Kruskal-Wallis test was used according to the distribution of the variables. In the selection of candidate variables for multivariate analyses comparing asymptomatic vs. symptomatic and severe vs. non-severe patient groups, the significance level was set at 0.10 in univariate tests for each comparison group. According to this criteria, in order to compare asymptomatic and symptomatic groups; age, blood group A, number of comorbidities, tAB1/wL, tAA/wL, OAS1/2/3, rs12252 (IFITM3), APOE ε2ε3 and ε3ε3 genotypes were selected as candidate variables. To compare severe and non-severe groups, age, blood group A, number of comorbidities, tAB1/wL, tAA/wL, OAS1/2/3, rs12252 (IFITM3), APOE ε2ε3 genotype and rs3788979 (DPP4) were selected as candidate variables. Multivariate binary logistic regression model was built for both comparisons and analyses were performed by backward elimination method. Area under the ROC curve (AUC) was used to evaluate the discriminative ability of the prediction models. All statistical analyses were performed using IBM SPSS Statistics (version 26; IBM Corporation, Armonk, NY, USA).

Results

Clinical and demographic features

The study included 175 unvaccinated individuals with confirmed SARS-CoV-2 infection: 65 were asymptomatic, 47 had mild-to-moderate disease, and 63 experienced severe or critical illness requiring intensive care unit (ICU) admission. Clinical severity was associated with increasing age, male gender, and higher comorbidity burden (Table 1). Blood group A, previously linked to infection susceptibility [19,20], was paradoxically more frequent among asymptomatic individuals in this cohort. Frequency distributions were validated using external controls including 75 donors from Ankara University Donor Registry and data from the Turkish Genome Project Data Sharing Portal (TUSEB) (n = 557) (https://tgd.tuseb.gov.tr/en/. Accessed 29 Dec 2024).

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Table 1. Patient demographics and frequency distributions across disease severity groups.

https://doi.org/10.1371/journal.pone.0345137.t001

KIR motifs and immune variant frequencies

KIR/KIR-ligand motifs tAA/wL and tAB1/wL displayed divergent distributions across disease categories. The tAA/wL motif was enriched in symptomatic cases, while the tAB1/wL motif was more frequent among asymptomatics. Additional genotyping included SNPs in OAS1/2/3, IFITM3, DPP4, TLR7, and APOE (Table 2). Variants were grouped based on known functional or ancestral profiles. In particular, individuals were classified as OAS1/2/3(-) if they carried at least one Neanderthal-derived allele previously shown to increase antiviral OAS activity.

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Table 2. Genotype frequencies of key immunogenetic variants across COVID-19 severity groups.

https://doi.org/10.1371/journal.pone.0345137.t002

The minor allele of rs12252 (IFITM3) was associated with symptomatic disease, and rs3788979 (DPP4) with severe disease. The APOE ε3ε3 genotype was more common among asymptomatic individuals and appeared protective. Rare APOE genotypes (ε2ε2, ε2ε4, ε4ε4) were not observed. A complete list of analyzed variants, with rsIDs, allele designations, and genomic context, is provided in S1 Table.

KIR-OAS synergy and multivariate analysis

To investigate potential interactions between KIRs and SNPs, frequency distribution of each pair of KIR genotypes and SNPs were compared within the asymptomatic/symptomatic and the non-severe/severe patient groups. Binary Logistic Regression was performed to analyze the individual effects of KIR genotypes, SNPs, and their combined effects. A significant interaction has been found between tAB1/wL and OAS1/2/3, favoring their synergistic ability to discriminate between asymptomatic vs. symptomatic groups (P = 0.032). Further analysis revealed that individuals lacking tAB1/wL while carrying OAS1/2/3(+) alleles were significantly more likely to be symptomatic (OR 3.471, 95% CI: 1.429–8.432, P = 0.006) and to develop severe disease (OR 2.409, 95% CI: 1.051–5.519, P = 0.038), compared to other genotype combinations (Table 3). This synergistic genotype was significantly rare in asymptomatics but present in over 40% of symptomatic patients (Fig 1).

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Table 3. Binary logistic regression models identifying independent predictors of the presence of the symptoms and the severity of COVID-19.

https://doi.org/10.1371/journal.pone.0345137.t003

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Fig 1. Distribution of OAS1/2/3 and tAB1/wL genotype combinations among A) asymptomatic vs. symptomatic and B) non-severe vs. severe patients.

https://doi.org/10.1371/journal.pone.0345137.g001

To crosscheck the independent effects of OAS and KIR genotypes and to assess any potential misleading effects due to collinearity, frequency distributions were analyzed across the entire cohort, including both patients and registry population. Cross-tabulation of OAS1/2/3 with tAB1/wL or tAA/wL genotypes, regardless of the study groups, revealed no significant differences in their frequencies, suggesting that the associations with disease progression are not due to the uneven distribution of the genotypes (S2 Table).

Multivariate logistic regression identified age, blood group A, IFITM3 rs12252, APOE ε3ε3, tAA/wL status, and the OAS1/2/3(+)/tAB1/wL(-) interaction as independent predictors of symptomatic infection. For severe disease, the final model retained age, male gender, blood group A, DPP4 rs3788979, and the same synergistic OAS1/2/3(+)/tAB1/wL(-) genotype (Table 3, Fig 2).

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Fig 2. Forest plots showing odds ratios and 95% confidence intervals for predictors of symptomatic (left) and severe (right) COVID-19.

https://doi.org/10.1371/journal.pone.0345137.g002

Model performance was robust: The symptomatic vs. asymptomatic classifier achieved 75.4% accuracy with an AUC of 0.849, sensitivity of 81.4%, specificity of 69.2%, and a positive predictive value (PPV) of 76.6%. The severe vs. non-severe model achieved 78.9% accuracy with an AUC of 0.861, sensitivity of 79.4%, specificity of 78.4%, and a PPV of 73.9%. Full performance metrics are provided in S1 Fig.

External controls and rare variant analysis

External controls consisting of healthy donors and publicly available reference data from the Turkish Genome Project (TUSEB), which is a national whole-genome reference repository (https://tgd.tuseb.gov.tr/en/. Accessed 29 Dec 2024), were used to validate the accurate representation of population-specific genotype frequencies within the patient cohort. No carriers of rare TLR7 missense or loss-of-function variants were detected in any of the study groups. APOE genotypes were classified based on ε2, ε3 and ε4 allele combinations (ε2ε2, ε2ε3, ε2ε4, ε3ε3, ε3ε4, ε4ε4). Homozygosity for ε2 and ε4 alleles was not observed in any of the patients. Only two cases from the donor registry were identified as ε2 homozygous. Full APOE genotype distributions and comparative frequencies are presented in S3 Table.

Discussion

Our study demonstrates, for the first time, a synergistic effect between the absence of the tAB1/wL KIR motif and the presence of Neanderthal-derived OAS variants [OAS1/2/3(-)] in predicting both symptomatic and severe COVID-19 progression. Age, male gender, blood group A, and SNPs in IFITM3 and DPP4 further contributed to disease outcomes. These findings advance the understanding of how both recent immune gene evolution (KIR polymorphisms) and ancient introgressed variants (OAS haplotypes) jointly modulate human viral susceptibility. To provide a biological framework for the observed genetic associations, we generated a gene–gene interaction network using the GeneMANIA platform [21]. This network illustrates known connections between KIR-associated HLA signaling, interferon-mediated antiviral pathways, and immunometabolic regulators, supporting the plausibility of gene–gene interactions underlying COVID-19 symptomatology and severity and is presented as a conceptual framework to provide biological context for the observed genetic associations rather than as direct evidence derived from the present cohort (Fig 3).

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Fig 3. Gene–gene interaction network generated using the GeneMANIA platform illustrating known functional, physical, and pathway-based relationships among genes investigated in this study [21].

The network highlights interactions linking KIR-associated HLA signaling with interferon-stimulated antiviral pathways (OAS1, OAS2, OAS3, IFITM3, TLR7) and immunometabolic regulators (APOE, DPP4). Edges represent previously reported co-expression, physical interaction, pathway co-membership, or shared protein domains.

https://doi.org/10.1371/journal.pone.0345137.g003

In this study, we evaluated a panel of immune-related SNPs previously associated with COVID-19 severity and mortality, rather than conducting an untargeted genome-wide analysis. By assessing these variants across clinically defined categories – asymptomatic vs symptomatic and non-severe vs severe – we aimed to contextualize their individual contributions to disease progression.

Our findings suggest a layered genetic influence along the symptomatic-to-severe disease spectrum. IFITM3 rs12252-GG and APOE ε3ε3 genotype were associated primarily with the presence and absence of symptoms, respectively; while DPP4 rs3788979-TT was more strongly linked to progression toward severe disease. These findings are consistent with the proposed roles of these gene polymorphisms in the course of infection. While the IFITM3-GG genotype has been associated with impaired viral restriction [13], APOE ε4 variants have been linked increased cholesterol levels and enhanced accumulation of ACE2 and TMPRSS2 within cholesterol-enriched domains [22]. Although these factors alone are insufficient to explain the entire mechanism, it is reasonable to suggest that patients lacking APOE ε3ε3 genotype and carrying IFITM3-GG variants may be more prone to a symptomatic course of infection, as host immunity may fail to effectively prevent viral entry and replication. DPP4, on the other hand, is suggested to play multiple roles in COVID-19 pathogenesis [14]. In addition to its involvement in viral entry, its physiological effects on T cell activation, cell adhesion and apoptosis may exert a greater influence on disease severity rather than on symptomatic determination. Although rare deleterious TLR7 variants have been associated with severe COVID-19 in young males, their absence in our cohort is consistent with their very low population frequency and the limited sample size. Notably, the interaction between OAS1/2/3(+) and absence of the protective tAB1/wL KIR motif was a shared predictor of both symptom onset and severity, suggesting it may represent a broader axis of innate immune dysregulation relevant throughout the clinical course. Moreover, cross-sectional frequency distributions of OAS1/2/3 and tAB1/wL combinations among the significant predictors of symptomatic and severe disease confirm that the predisposing role of OAS1/2/3(+)/tAB1/wL(-) genotype was preserved despite the lack of additional risk factors, i.e., older age, male gender, IFITM3 rs12252, or DPP4 rs3788979 status (S2 Fig).

While some variants may plausibly influence both stages of disease (e.g., IFITM3 or DPP4), the lack of statistical significance in one of the comparisons may reflect power limitations rather than true absence of effect. These observations support the hypothesis that distinct genetic mechanisms may underlie the transition from viral containment (asymptomatic vs symptomatic) and from immune control failure (non-severe vs severe), with partially overlapping yet non-identical contributors.

Consistent with prior studies [23], advanced age was the strongest predictor of severity. Comorbidity burden correlated with severity in univariate models but was not retained in multivariate models, likely reflecting cohort size limitations. While blood group A has been associated with infection susceptibility [19,20], there have been contradictory conclusions in worldwide studies regarding its association with disease severity [4]. The distribution of blood groups in our cohort is consistent with the earlier reports and the 2024 update from Turkish Red Crescent [24,20]; nevertheless, the protective role of blood group A against symptomatic and severe COVID-19 observed in our study is novel within Turkish populations and warrants further study in larger populations.

Our findings align with studies showing inhibitory KIR motifs (e.g., tAA) predispose to worse outcomes, whereas activating motifs (e.g., tAB1) are protective [6,25]. In contrast to previous studies examining individual KIR genes or general haplotype groups, such as the study by Littera et al. (2021) [6], our analysis focused on composite KIR genotypes defined by specific activating or inhibitory motifs (tAA and tAB1) in combination with their respective HLA ligands. This approach was chosen to reduce dimensionality and preserve statistical power in the context of a limited sample size. Moreover, evaluating ligand-associated KIR motifs allowed us to target broader NK cell regulatory effects, rather than isolated gene-level signals. While this genotypic definition increases specificity, it may reduce generalizability and comparability with studies using broader haplotype categories. Therefore, rather than testing all possible motif combinations, we focused on genotypes previously associated with clinical outcomes in our earlier cohort [5]. Differences in KIR association results across studies likely reflect ethnic-specific KIR-HLA diversity and variable analysis strategies (allelic vs haplotypic).

Supporting Zeberg and Pääbo (2021), carriers of Neanderthal-protective OAS1/2/3 alleles exhibited reduced risk of symptomatic or severe infection [9]. However, this protection was overcome when combined with absence of the protective tAB1/wL genotype – highlighting gene-gene interactions in innate antiviral defense.

The rs12252 variant in IFITM3 and the rs3788979 variant in DPP4 were associated with symptomatic infection and disease severity, respectively, consistent with prior meta-analyses [14,22]. APOE ε3ε3 conferred relative protection, though associations involving rare APOE variants (e.g., ε2ε3) require cautious interpretation due to small sample sizes. No rare TLR7 loss of function variants were detected, consistent with their extremely low frequency; larger male-enriched cohorts would be needed for detection.

From the evolutionary perspective, the interaction between Neanderthal OAS alleles and KIR genotypes supports the concept that introgressed innate immune alleles and recent KIR diversification both shaped modern human responses to RNA viruses. Such dual-layered genetic architecture likely conferred historical survival advantages but now influences modern disease susceptibilities.

This study has several notable strengths. By integrating KIR haplotype motifs, Neanderthal-inherited OAS1/2/3 variants, and modern immune-related SNPs within the same predictive models, we provide a comprehensive immunogenetic evaluation of COVID-19 outcomes. The use of a homogenous population, validated against national genomic databases, minimizes the risk of population stratification bias. Furthermore, the application of multivariate logistic regression, ROC curve analysis, and cross-validation with healthy donor controls enhances the robustness of our findings.

Earlier, the population-based distributions of Neanderthal-inherited SNPs or KIR genes have been published [9,18,26]. Likewise, susceptibility against COVID-19 has also been shown to be influenced by ethnic background. In our earlier study, KIR genotype frequencies in our geographical region were similar to those of Europeans [5]. According to Zeberg and Pääbo (2021), frequencies of Neanderthal-introgressed OAS haplotypes have increased over time, i.e., OAS3 rs1156361 from below 10% to ~30%, in Eurasia in the last 20,000 years [9]. In this study, Neanderthal-inherited allele frequency of OAS SNPs was ~ 57% in the registry donors, similar to that in the TUSEB (https://tgd.tuseb.gov.tr/en/. Accessed 29 Dec 2024), consistent with the idea of positive selection of innate immunity gene variants in modern humans.

Nevertheless, some limitations should be acknowledged. First, our genotyping approach did not resolve KIR copy number variation, which could contribute additional phenotypic variability. Second, the relatively small sample size limited our power to detect associations involving rare genetic variants, particularly in APOE and TLR7. Third, while population homogeneity strengthens internal validity, it also restricts the generalizability of our results to broader, multiethnic populations. Finally, by combining mild-intermediate and severe cases into a single “symptomatic” group for some analyses, we may have partially obscured biological differences between truly mild and critically severe disease trajectories. These limitations notwithstanding, the observed synergy between KIR and OAS1/2/3 genotypes offers novel insights into the layered evolutionary architecture of innate antiviral immunity.

Conclusions

In this study, we investigated potential evolutionary interactions among the multifactorial components of immune defense by extending our previous findings on KIR - COVID-19 associations. We uncovered a novel immunogenetic interaction between KIR motifs and Neanderthal-derived OAS1/2/3 variants impacting COVID-19 symptomatology and severity. The validity of our findings may differ in diverse populations which require further investigation, incorporate deeper KIR characterization (including CNV), and explore functional consequences of these gene–gene interactions in antiviral immunity. After validation in independent cohorts, these immunogenetic signatures may contribute to genetic risk stratification and, in selected settings, inform personalized preventive or monitoring strategies for susceptible individuals.

Supporting information

S1 Table. Summary of SNPs analyzed, including rsIDs, genomic context, and known risk allele annotations.

https://doi.org/10.1371/journal.pone.0345137.s001

(PDF)

S2 Table. Frequency distribution of OAS1/2/3 and KIR genotypes across the full study cohort (patients + registry donors, n = 250).

https://doi.org/10.1371/journal.pone.0345137.s002

(PDF)

S1 Fig. ROC curves for models predicting A) symptomatic and B) severe COVID-19, with (red) and without (blue) inclusion of the OAS1/2/3(+)/tAB1wL(-) genotype.

https://doi.org/10.1371/journal.pone.0345137.s003

(PDF)

S3 Table. Genotype frequencies in COVID-19 patients and comparative populations, including data from the Turkish Genome Project (TUSEB).

https://doi.org/10.1371/journal.pone.0345137.s004

(PDF)

S2 Fig. Cross-stratified distribution of OAS1/2/3*tAB1/wL genotypes among individuals with or without other significant predictors of symptomatic and severe disease.

https://doi.org/10.1371/journal.pone.0345137.s005

(PDF)

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