Comprehensive analysis of TNF-alpha gene polymorphism: A computational approach.

BACKGROUND

TNF-alpha, a potent cytokine produced by immune cells, regulates inflammation and immune responses. Understanding the genetic variations in TNF-alpha gene nsSNP and regulatory SNPs within the UTRs can help in elucidating the mechanisms of disease pathogenesis.

OBJECTIVE

Present study involved a comprehensive analysis of the TNF-alpha gene to identify deleterious SNPs within its UTR and coding region.

METHODS

TNF alpha gene's SNPs data were retrieved from dbSNP and subsequently evaluated using various in-silico tools to predict their pathogenic effects.

RESULTS

A total of 2262 SNPs evaluated, three substitutions were consistently predicted to be deleterious and were mapped to evolutionarily conserved residues with significant effects on protein structure. Analysis of UTR variants identified 13 pathogenic SNPs, which showed potential to disrupt transcription factor binding sites and protein binding sites, thereby exerting significant regulatory effects on TNF-alpha expression.

CONCLUSION

This study provides comprehensive computational evidence that both coding and regulatory SNPs of TNF-alpha gene may have significant functional implications, influencing protein structure and gene regulation. Only a handful of SNPs have been explored extensively; however, others are completely neglected. Research focusing on other identified potentially pathogenic variants is required to comprehend the impact of TNF-alpha gene on various diseases.