In Silico Prediction of Functional SNPs Interrupting Antioxidant Defense Genes in Relation to COVID-19 Progression
- 1Student Research Committee, Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- 2Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- 3Department of Cell and Molecular Biology and Microbiology, University of Isfahan, Isfahan, Iran.
- 4Department of Laboratory Sciences, School of Paramedical Sciences, Zahedan University of Medical Sciences, Zahedan, Iran.
- 5Bayesian Imaging and Spatial Statistics Group, Institute of Statistics, Ludwig-Maximilian-Universität München, Ludwigstraße 33, 80539, Munich, Germany.
- 6Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran. davood40@hotmail.com.
- 7Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. davood40@hotmail.com.
- 0Student Research Committee, Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Genetic variations in antioxidant defense genes significantly impact COVID-19 susceptibility and progression. These single nucleotide polymorphisms (SNPs) affect gene function and drug response, explaining individual differences in disease severity and treatment outcomes.
Area Of Science
- Genetics and Molecular Biology
- Computational Biology
- Immunology
Background
- The imbalance between reactive oxygen species and antioxidant defenses is crucial in disease development.
- Individual genetic variations contribute to disparities in disease susceptibility, including infections like COVID-19.
Purpose Of The Study
- To computationally predict the impact of single nucleotide polymorphisms (SNPs) in antioxidant defense genes on their structure, function, and expression concerning COVID-19.
- To investigate how SNPs affect miRNA binding sites and influence drug responses and COVID-19 susceptibility.
Main Methods
- In silico analysis of SNPs in key antioxidant genes (GPX7, GPX8, TXNRD2, GLRX5, GLRX, GPX, PRDX, GLRX, TXN, SOD).
- Prediction of SNP effects on protein structure, function, and miRNA binding sites using computational tools.
- Comparison of gene expression profiles in mild vs. severe COVID-19 patients using GEO2R.
Main Results
- Six missense SNPs (MAF ≥ 0.1) were predicted to significantly alter the structure and function of antioxidant genes.
- 39 SNPs (MAF ≥ 0.1) were found to create or abolish miRNA binding sites in antioxidant genes.
- Expression analysis revealed significant changes in ~250 miRNAs between mild and severe COVID-19 cases, with 21 showing altered binding efficiency due to SNPs.
Conclusions
- SNPs in antioxidant defense genes play a fundamental role in COVID-19 progression and individual susceptibility.
- Observed variations in patient responses to antioxidant-enhancing drugs for COVID-19 may be attributed to the presence of these genetic variations.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
01:05
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
01:11
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

