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Can I read Predictive immunogenetic markers in COVID-19 on EtoBox?
Predictive immunogenetic markers in COVID-19 by Mauro de Meira Leite; Faviel F. Gonzalez-Galarza; Bruno Conde Costa da Silva; Derek Middleton; Eduardo José Melo dos Santos is a Immunology and Microbiology article available to read on EtoBox.
What is Predictive immunogenetic markers in COVID-19 about?
Immunorelevant genes are among the most probable modulators of coronavirus disease 2019 (COVID-19) progression and prognosis. However, in the few months of the pandemic, data generated on host genetics has been scarce. The present study retrieved data sets of HLA-B alleles, KIR genes and functional single nucleotide polymorphisms (SNPs) in cytokines related to COVID-19 cytokine storm from two publicly available databases: Allele Frequency Net Database and Ensembl, and correlated these frequency data with Case Fatality Rate (CFR) and Daily Death Rates (DDR) across countries. Correlations of eight HLA-B alleles and polymorphisms in three cytokine genes (IL6, IL10, and IL12B) were observed and were mainly associated with DDR. Additionally, HLA-B correlations suggest that differences in allele affinities to SARS-CoV-2 peptides are also associated with DDR. These results may provide rationale for future host genetic marker surveys on COVID-19.
Who reads Predictive immunogenetic markers in COVID-19?
It is typically read by researchers, students, and practitioners in Immunology and Microbiology.
- Author
- Mauro de Meira Leite; Faviel F. Gonzalez-Galarza; Bruno Conde Costa da Silva; Derek Middleton; Eduardo José Melo dos Santos
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Immunology and Microbiology (Life Sciences)