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Updated: Jul 1, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
The single nucleotide polymorphism rs4986790 (c.896A>G) in the gene TLR4 as a protective factor in corona virus
Christoph Zacher1, Kristina Schönfelder2, Hana Rohn3
1Institute of Pharmacogenetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Insights
The TLR4 rs4986790 AG/GG genotype acts as a protective factor against severe COVID-19 outcomes. This genetic marker, along with low IL-6 and PCT levels, can predict disease severity and reduce hospitalization risk.
Area of Science:
- Genetics
- Immunology
- Infectious Diseases
Background:
- Known risk factors for COVID-19 severity include hypertension and diabetes mellitus.
- Limited information exists regarding genetic markers influencing COVID-19 disease progression.
Purpose of the Study:
- To investigate the single nucleotide polymorphism (SNP) rs4986790 in the Toll-like receptor 4 (TLR4) gene.
- To identify a universal marker for preclinical prediction of COVID-19 disease severity.
Main Methods:
- Analysis of demographics, comorbidities, and inflammatory markers (IL-6, PCT) in 1570 COVID-19 patients.
- Multivariable analysis to assess the impact of TLR4 rs4986790 genotype on disease outcomes.
Main Results:
- Younger age and absence of comorbidities were protective against severe disease.
- The TLR4 rs4986790 AG/GG genotype was associated with a 51% reduced risk of severe COVID-19 outcomes (OR: 0.51, 95% CI: 0.34-0.77, p=0.001).
- Low IL-6 and PCT levels, absence of cardiovascular disease, and TLR4 rs4986790 AG/GG genotype were independent predictors of reduced hospitalization and severe disease.
Conclusions:
- The TLR4 rs4986790 AG/GG genotype is a significant genetic predictor of COVID-19 severity.
- This genetic marker can potentially be used in routine diagnostics for early risk assessment of severe COVID-19.
- Findings confirm the role of pre-existing conditions and inflammatory markers in COVID-19 prognosis.
Background And Aims:
Several factors, such as hypertension and diabetes mellitus, are known to influence the course of coronavirus disease 2019 (COVID-19). However, there is currently little information on genetic markers that influence the severity of COVID-19. In this study, we specifically investigated the single nucleotide polymorphism (SNP) rs4986790 in the TLR4 gene to identify a universal marker for preclinical prediction of COVID-19 disease progression.
Methods:
We analyzed the influence of demographics, pre-existing conditions, inflammatory parameters at the time of hospitalization, and TLR4 rs4986790 genotype on the outcome of COVID-19 in a comprehensive cohort (N = 1570). We performed multivariable analysis to investigate the impact of each factor.
Results:
We confirmed that younger patient age and absence of pre-existing conditions were protective factors against disease progression. Furthermore, when comparing patients with mild SARS-CoV-2 infection with patients who required hospitalization or intensive care or even died due to COVID-19, the AG/GG genotype of TLR4 rs4986790 was found to be a protective factor against COVID-19 disease progression (OR: 0.51, 95% CI: 0.34 - 0.77, p = 0.001). In addition, we demonstrated that low levels of interleukin-6 (IL-6) and procalcitonin (PCT) had a favorable effect on COVID-19 disease severity. In the subsequent multivariable analysis, we confirmed the absence of cardiovascular disease, low levels of IL-6 and PCT, and TLR4 rs4986790 AG/GG genotypes as independent predictors of potential hospitalization and reduction of severe or fatal disease course.
Conclusion:
In this study, we identified an additional genetic factor that may serve as an invariant predictor of COVID-19 outcome. The TLR4 rs4986790 AG/GG genotype reduced by half the risk of COVID-19 patients requiring hospitalization, intensive care or to have a fatal outcome. In addition, we were able to confirm the influence of previously known factors such as pre-existing conditions and inflammatory markers upon the onset of disease on the course of COVID-19. Based on these observations, we hereby provide another prognostic biomarker that could be used in routine diagnostics as a predictive factor for the severity of COVID-19 prior to SARS-CoV-2 infection.
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