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Background <p>Multiple sclerosis is an autoimmune condition that affects the spinal cord and brain which is categorized by demyelination, swelling, and axonal loss. The meta-analysis rationale was to determine the correlation between <i>TNFα</i> gene polymorphism and multiple sclerosis risk.</p> Methods <p>We conducted a systematic literature mining in the major electronic databases, including PubMed, Embase, Medline Scopus, and to look up for relevant studies published up to December 2024. We executed the meta-analysis to assess the correlation between <i>TNFα</i> gene <i>(rs361525)</i> SNP and multiple sclerosis. This meta-analysis was executed using the MetaGenyo and RevMan V-5.0 software to estimate the odds ratio along with 95% confidence interval.</p> Results <p>Our results indicated a positive association of <i>TNFα</i> with OR = 1.03, (95% CI [0.530–1.980]), <i>p</i> = 0.04 in the dominant genetic model. These findings support the evidence that <i>TNFα rs361525</i> polymorphism was found to be linked with MS risk. However, case–control studies with large sample size from Caucasian and Asian ethnicity are required to investigate the functional role of <i>TNFα</i> polymorphism in the multiple sclerosis pathogenesis.</p>

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Investigating the association between rs361525 promotor polymorphism with risk of multiple sclerosis: a meta-analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月23日

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  • H. R. Vinoda Kumar,
  • V. Shree Harsha,
  • Kshama Nadig,
  • C. Reddy Prasad,
  • T. Thirunavvkkarasu

摘要

Background

Multiple sclerosis is an autoimmune condition that affects the spinal cord and brain which is categorized by demyelination, swelling, and axonal loss. The meta-analysis rationale was to determine the correlation between TNFα gene polymorphism and multiple sclerosis risk.

Methods

We conducted a systematic literature mining in the major electronic databases, including PubMed, Embase, Medline Scopus, and to look up for relevant studies published up to December 2024. We executed the meta-analysis to assess the correlation between TNFα gene (rs361525) SNP and multiple sclerosis. This meta-analysis was executed using the MetaGenyo and RevMan V-5.0 software to estimate the odds ratio along with 95% confidence interval.

Results

Our results indicated a positive association of TNFα with OR = 1.03, (95% CI [0.530–1.980]), p = 0.04 in the dominant genetic model. These findings support the evidence that TNFα rs361525 polymorphism was found to be linked with MS risk. However, case–control studies with large sample size from Caucasian and Asian ethnicity are required to investigate the functional role of TNFα polymorphism in the multiple sclerosis pathogenesis.