Open Access

Polymorphisms of IGF2BP2 and SIRT1 genes in type 2 diabetes mellitus: A comprehensive meta‑analysis and statistical power analysis

  • Authors:
    • Saranya Velmurugan
    • Vishwajit Ravindra Deshmukh
    • Bharat Ramrao Sontakke
    • Kirubhanand Chandrasekaran
    • Gowtham Kumar Subbaraj
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  • Published online on: November 6, 2024     https://doi.org/10.3892/wasj.2024.292
  • Article Number: 4
  • Copyright : © Velmurugan et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY 4.0].

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Abstract

Type 2 diabetes mellitus (T2DM) is a metabolic disorder with a high prevalence and an increased economic burden. The present meta‑analysis focusses on the insulin‑like growth factor mRNA‑2 binding protein 2 (IGF2BP2) (rs4402960 and rs1470579) and sirtuin 1 (SIRT1) (rs7895833) gene polymorphisms and their effects on the incidence of T2DM. A comprehensive electronic database search was made using the NCBI, Google Scholar, Science Direct, Medline and PubMed databases, encompassing data from 2016 to 2024. MetaGenyo software was used to examine the collected data for statistical analysis at P<0.05. The statistical power of the study was determined using G*Power 3.1 software. A total of 10 studies were evaluated for the IGF2BP2 rs4402960 gene variant, and five studies were evaluated for the association between the IGF2BP2 rs1470579 gene variant and the onset of T2DM. Additionally, five articles were analyzed for the SIRT rs7895833 gene variant and its association with the risk of developing T2DM. The present study indicates a notable association between the IGF2BP2 rs4402960 gene polymorphism and susceptibility to T2DM under an over‑dominant model [odds ratio (OR), ‑1.34; 95% confidence interval (CI), 1.07‑1.67; P<0.009]. Furthermore, the results suggest a link between the IGF2BP2 rs1470579 genetic variant and T2DM, under allelic (OR, ‑0.74; 95% CI, 0.54‑0.92; P<0.009) and recessive (OR, ‑0.79; 95% CI, 0.52‑1.21; P<0.007) models. However, the SIRT1 rs7895833 gene variant did not exhibit any no notable association with susceptibility to T2DM. On the whole, the present meta‑analysis robustly demonstrates that the IGF2BP2 gene contributes to the development of T2DM. It may thus be used as a biomarker for determining the risk of developing T2DM. However, the SIRT1 gene may not be associated with the risk of developing T2DM. Further investigations however, with large sample sizes and various populations are required to confirm these findings.
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January-February 2025
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Spandidos Publications style
Velmurugan S, Deshmukh VR, Sontakke BR, Chandrasekaran K and Subbaraj GK: Polymorphisms of <em>IGF2BP2</em> and <em>SIRT1</em> genes in type 2 diabetes mellitus: A comprehensive meta‑analysis and statistical power analysis. World Acad Sci J 7: 4, 2025.
APA
Velmurugan, S., Deshmukh, V.R., Sontakke, B.R., Chandrasekaran, K., & Subbaraj, G.K. (2025). Polymorphisms of <em>IGF2BP2</em> and <em>SIRT1</em> genes in type 2 diabetes mellitus: A comprehensive meta‑analysis and statistical power analysis. World Academy of Sciences Journal, 7, 4. https://doi.org/10.3892/wasj.2024.292
MLA
Velmurugan, S., Deshmukh, V. R., Sontakke, B. R., Chandrasekaran, K., Subbaraj, G. K."Polymorphisms of <em>IGF2BP2</em> and <em>SIRT1</em> genes in type 2 diabetes mellitus: A comprehensive meta‑analysis and statistical power analysis". World Academy of Sciences Journal 7.1 (2025): 4.
Chicago
Velmurugan, S., Deshmukh, V. R., Sontakke, B. R., Chandrasekaran, K., Subbaraj, G. K."Polymorphisms of <em>IGF2BP2</em> and <em>SIRT1</em> genes in type 2 diabetes mellitus: A comprehensive meta‑analysis and statistical power analysis". World Academy of Sciences Journal 7, no. 1 (2025): 4. https://doi.org/10.3892/wasj.2024.292