Association between polymorphisms in TLR3, TICAM1 and IFNA1 genes and covid-19 severity in Southern Brazil

Matheus Braga1, Mariana Akemi Sonoda Shiga1, Pedro Emanuel Santiago Silva2

  • 1Department of Clinical Analysis and Biomedicine, State University of Maringá, Maringá, Paraná, Brazil.

Insights

Certain genetic variations in Toll-like receptor 3 (TLR3), TICAM1, and interferon alpha 1 (IFNA1) influence Coronavirus disease 2019 (Covid-19) severity. These single nucleotide polymorphisms (SNPs) offer protection or increase the risk of severe Covid-19 outcomes.

Area of Science:

  • Immunogenetics
  • Virology
  • Genomics

Background:

  • Severe Coronavirus disease 2019 (Covid-19) presents a distinct phenotype characterized by impaired type I interferon response and heightened inflammation.
  • Understanding the genetic underpinnings of Covid-19 severity is crucial for predicting patient outcomes.

Purpose of the Study:

  • To investigate the association between single nucleotide polymorphisms (SNPs) in immune response genes and Covid-19 severity.
  • Examined SNPs in TLR3, TICAM1, IFNA1, TNF, and IL6.

Main Methods:

  • A cross-sectional study involving 300 Covid-19 patients in Brazil (150 non-severe, 150 severe/critical).
  • Genotyping was performed for specific SNPs in five immune-related genes.

Main Results:

  • The T/T genotype of TLR3 (rs3775291) showed 58% protection against severe Covid-19.
  • TICAM1 genotypes (rs2292151) offered 57-71% protection against severe Covid-19.
  • IFNA1 genotype (rs1758566) variations were associated with an increased risk of critical Covid-19.

Conclusions:

  • SNPs rs3775291 (TLR3), rs2292151 (TICAM1), and rs1758566 (IFNA1) can significantly influence Covid-19 severity.
  • These genetic markers may play a role in modulating the host immune response to SARS-CoV-2 infection.
Abstract