Association of IFIH1 and DDX58 genes polymorphism with susceptibility to COVID-19.
Parisa FeizollahiMohammad Hossein ZamanianSara FalahiFarhad SalariZahra MahmoudiElham FaryadiAli Gorgin KarajiAlireza RezaiemaneshPublished in: Medical microbiology and immunology (2023)
Pattern recognition receptors of the innate immune system, such as RIG-I and MDA5, are responsible for recognizing viruses and inducing interferon production. Genetic polymorphisms in the coding regions of RLR may be associated with the severity of COVID-19. Considering the contribution of the RLR signaling in immune-mediated reactions, this study investigated the association between three SNP in the coding region of IFIH1 and DDX58 genes with the susceptibility to COVID-19 in the Kermanshah population, Iran. 177 patients with severe and 182 with mild COVID-19 were admitted for this study. Genomic DNA was extracted from peripheral blood leukocytes of patients to determine the genotypes of two SNPs, rs1990760(C>T) and rs3747517(T>C) IFIH1 gene and rs10813831(G>A) DDX58 gene using PCR-RFLP method. Our results showed that the frequency of the AA genotype of rs10813831(G>A) was associated with susceptibility to COVID-19 compared to the GG genotype (p = 0.017, OR = 2.593, 95% CI 1.173-5.736). We also observed a statistically significant difference in the recessive model for SNPs rs10813831 variant (AA versus GG + GA, p = 0.003, OR = 2.901, 95% CI 1.405-6.103). Furthermore, No significant association was found between rs1990760 (C>T) and rs3747517(T>C) of IFIH1 gene polymorphisms with COVID-19. Our findings suggest that DDX58 rs10813831(A>G) polymorphism may be associated with COVID-19 severity in the Kermanshah population, Iran.
Keyphrases
- coronavirus disease
- sars cov
- genome wide
- peripheral blood
- respiratory syndrome coronavirus
- end stage renal disease
- immune response
- peritoneal dialysis
- cell proliferation
- gene expression
- newly diagnosed
- dendritic cells
- transcription factor
- signaling pathway
- early onset
- mass spectrometry
- pet ct
- single molecule
- genome wide identification
- genome wide analysis
- high density
- atomic force microscopy