Author: Shraddha Uikey and Deepak Bharti
This bioinformatics study investigates the impact of single nucleotide polymorphisms (SNPs) on the 3' untranslated regions (3' UTRs) of host genes associated with tuberculosis (TB) caused by Mycobacterium tuberculosis (Mtb) using various in-silico databases. TB remains a significant global health challenge, with millions of new cases and deaths reported annually (WHO, 2021). SNPs represent the most common form of genetic variation, influencing gene expression and the immune response, making them crucial for understanding TB susceptibility and host-pathogen interactions. The key genes analyzed in this study include SLC11A1, IFNGR1, TLR2, TNF, and IL12RB1. Utilizing resources such as GeneCards® and microSNiPer, this research identified SNPs within these genes and assessed their potential effects on microRNA interactions, which are vital for gene regulation. The results suggest that minor alleles of specific SNPs exhibit significant binding affinities with various microRNAs, potentially modulating the expression of these genes and influencing the host's immune defenses against Mtb. For instance, the SNP rs1059823 in SLC11A1 presented a minor allele frequency of 42.2% and demonstrated a strong association with microRNAs linked to immune responses. These findings underscore the complexity of genetic factors influencing TB susceptibility and highlight the potential for personalized therapeutic strategies. This in-silico approach offers valuable insights into genetic variants that may increase susceptibility to TB, contributing to improved diagnosis and treatment strategies. Further experimental validation and exploration of these genetic factors are essential for developing effective interventions against tuberculosis
Tuberculosis, Single Nucleotide Polymorphism (SNP), Mycobacterium tuberculosis, 3' Untranslated Region (3' UTR), MicroRNA
This study highlights the critical role of minor alleles in tuberculosis (TB) susceptibility, particularly through their influence on gene expression and interactions with microRNAs in key immune-related genes. The findings indicate that even low-frequency SNPs can significantly impact the regulation of genes such as SLC11A1, IFNGR1, TNF, and IL12RB1, potentially modulating the host's immune response to Mycobacterium tuberculosis. This underscores the complexity of genetic factors contributing to TB susceptibility, where minor alleles may either confer risk or protection depending on their interactions with microRNAs. By elucidating the relationship between these genetic variations and microRNA binding affinities, the research provides a foundation for understanding the molecular mechanisms underlying TB pathogenesis. Moreover, identifying these genetic markers can pave the way for personalized approaches to treatment and prevention strategies. Ultimately, this study emphasizes the need for further investigation into the functional implications of these minor alleles in diverse populations, which is essential for improving interventions against tuberculosis and enhancing our understanding of this global health challenge
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Shraddha Uikey and Deepak Bharti (2023). In-Silico Databases based Study on the Effects of SNP on the 3' UTRs of Genes which are Associated with Mycobacterium tuberculosis in Human. Biological Forum – An International Journal, 15(3): 966-969