Background: The purpose of this meta-analysis is to verify that rs1861494 and rs2069718, two polymorphisms in the IFN-gene, are associated with tuberculosis (TB) infection in Asian populations.
Methods: To find appropriate case-control studies, a search was done from the databases, including Google Scholar, Science Direct, Embase, and PubMed. With the aid of MetaGenyo software, statistical analyses were performed. Case and control studies from the available database were used to investigate the relationship between IFN-γ gene polymorphisms and TB infection risk. The protocol for the present meta-analysis was registered using PROSPERO (ID Number: 443605).
Results: Information obtained through examining two different variants of the IFN-γ gene showed associations with recessive, allelic, overdominant, and dominant models. This indicates that the statistical value obtained was found to be statistically significant at P = 0.05. The findings of the IFN-γ rs1861494 gene polymorphisms for allelic, dominant, and overdominant models were statistically significant with P > 0.05, whereas the recessive model exhibited a statistically insignificant value (P = 0.25). The IFN-γ rs2069718 gene polymorphism demonstrated statistically significant value for overdominant, recessive, and allelic models (P > 0.05). However, the dominant model shows a statistically insignificant value P = 0.11.
Conclusion: The two genetic variations of the IFN-γ gene polymorphisms (rs1861494 and rs2069718) and their association with TB were confirmed by the meta-analysis conducted. More in-depth research into the molecular basis of the association is necessary, and larger-scale epidemiological studies are needed to confirm these findings.
Keywords: Gene polymorphism; interferon-gamma; meta-analysis; publication bias; single-nucleotide polymorphisms; tuberculosis.