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Gaceta Médica Boliviana

Print version ISSN 1012-2966On-line version ISSN 2227-3662

Abstract

QUIROZ-RUIZ, Hans Ramón; MIRANDA-ULLOA, Eduardo; LEON-TORRES, Carlos Alberto  and  BARDALES-VASQUEZ, Cecilia Betzabet. IL28B gene polymorphisms are not associated with the risk of HTLV-1 infection: A Meta-Analysis. Gac Med Bol [online]. 2025, vol.48, n.2, pp.182-189.  Epub Dec 31, 2025. ISSN 1012-2966.  https://doi.org/10.47993/gmb.v48i2.1027.

The investigation of genetic risk factors is important for understanding susceptibility to Human T-Cell Lymphotropic Virus Type 1 (HTLV-1). Although IL28B gene polymorphisms have been implicated in infection risk for other viruses, their role in HTLV-1 infection risk remains uncertain.

Objective:

to determine whether the Single Nucleotide Polymorphisms (SNPs) rs8099917 and rs12979860 in the IL28B gene are associated with the risk of HTLV-1 infection.

Material and Methods:

a meta-analysis of case-control studies was performed. A search was conducted in PubMed, Google Scholar, and Scopus. Genotypic frequencies of the polymorphisms were extracted. Using a genetic association meta-analysis with the Metagenyo software, Odds Ratios (OR) and 95% confidence intervals were estimated for four genetic models.

Results:

four studies were included, comprising 875 participants for rs12979860 and 718 for rs8099917. No deviation from Hardy-Weinberg equilibrium was observed (p>0.05). No statistically significant association was found between rs12979860 and HTLV-1 infection risk (allelic model: OR= 0.98; p= 0.89; recessive model: OR= 1.03; p=0.85; dominant model: OR= 0.91; p= 0.63; overdominant model: OR= 0.92; p= 0.59), nor for rs8099917 (allelic model: OR= 1.01; p=0.97; recessive model: OR= 0.95; p=0.78; dominant model: OR= 1.09; p=0.80; overdominant model: OR= 1.12; p=0.53).

Conclusion:

This meta-analysis indicates that the SNPs rs8099917 and rs12979860 are not associated with the risk of HTLV-1 infection. This underscores the need for further case-control studies to validate our findings.

Keywords : interleukins; meta-analysis; polymorphism single nucleotide; Human T-lymphotropic virus 1.

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