Analyses of haplotypes of TLR2 and TLR3 genes for COVID-19 prognosis in a cohort of professionals who worked in the first pandemic wave in Belém-PA, Brazil

Coronavirus disease 2019 (COVID-19) is a multisystemic disease caused by SARS-CoV-2 that can lead to several pulmonary illnesses according to the immunological contexts of the individual. Haplotypes consist of single-nucleotide polymorphisms (SNPs) within candidate genes for diseases. <i>TLR2</i> and <i>TLR3</i> are genes located on human chromosome 4 (chr:4) and composite a haplotype that influence immune signaling and inflammatory pathways. The purpose of this article was to genetically analyze <i>in silico</i> a cohort of professionals from Belém-PA during the first wave of the pandemic using SNPs rs3804100, rs3775290, and rs3775291 on the human chr:4. This is a computational genomic design using bioinformatic software and machine-learning technologies on epidemiological data of Sanger sequencing data. Regarding the findings, none of the alleles formed by the haplotype showed statistical significance for symptomatology or disease severity. The haplotype block was not significant between the SNPs analyzed despite a high permutation rate of alleles at the beginning of the variance of the individual genomic data. Then, the <i>TLR2-TLR3</i> haplotype (SNPs rs3804100, rs3775290, and rs3775291) showed little determination in the clinic of individuals with COVID-19 in Belém (Northern Brazil), which may indicate differences in collective genetic patterns and/or epigenetic influences compared to other more affected populations that have the same haplotype pattern.

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Publication Details

Journal
Frontiers in Genetics
Published
2025-10-02
DOI
https://doi.org/10.3389/fgene.2025.1659269
Citations
1
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
1.35
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article

Analyses of haplotypes of TLR2 and TLR3 genes for COVID-19 prognosis in a cohort of professionals who worked in the first pandemic wave in Belém-PA, Brazil

Ana Judith Pires Garcia, Thiago Augusto Ferreira dos Anjos, Everaldina Cordeiro dos Santos, Sebastião Kauã de Sousa Bispo et al.
1 citations
Frontiers in Genetics
Respiratory viral infections research
1.35
article

Analyses of haplotypes of TLR2 and TLR3 genes for COVID-19 prognosis in a cohort of professionals who worked in the first pandemic wave in Belém-PA, Brazil

Ana Judith Pires Garcia, Thiago Augusto Ferreira dos Anjos, Everaldina Cordeiro dos Santos, Sebastião Kauã de Sousa Bispo, Marcos Jessé Abrahão Silva, Luiza Raquel Tapajós Figueira, Daniele Melo Sardinha, Eliete Costa da Cruz, Luana Nepomuceno Gondim Costa Lima, Natasha Cristina Oliveira Andrade
article en
1 citations

Abstract

Coronavirus disease 2019 (COVID-19) is a multisystemic disease caused by SARS-CoV-2 that can lead to several pulmonary illnesses according to the immunological contexts of the individual. Haplotypes consist of single-nucleotide polymorphisms (SNPs) within candidate genes for diseases. <i>TLR2</i> and <i>TLR3</i> are genes located on human chromosome 4 (chr:4) and composite a haplotype that influence immune signaling and inflammatory pathways. The purpose of this article was to genetically analyze <i>in silico</i> a cohort of professionals from Belém-PA during the first wave of the pandemic using SNPs rs3804100, rs3775290, and rs3775291 on the human chr:4. This is a computational genomic design using bioinformatic software and machine-learning technologies on epidemiological data of Sanger sequencing data. Regarding the findings, none of the alleles formed by the haplotype showed statistical significance for symptomatology or disease severity. The haplotype block was not significant between the SNPs analyzed despite a high permutation rate of alleles at the beginning of the variance of the individual genomic data. Then, the <i>TLR2-TLR3</i> haplotype (SNPs rs3804100, rs3775290, and rs3775291) showed little determination in the clinic of individuals with COVID-19 in Belém (Northern Brazil), which may indicate differences in collective genetic patterns and/or epigenetic influences compared to other more affected populations that have the same haplotype pattern.

Frontiers in GeneticsVol. 16
Universidade da Amazônia (BR), Universidade do Estado do Pará (BR), Instituto Evandro Chagas (BR)
Openalex Percentile: Top 15%
Respiratory viral infections research
1.35
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