AI Article Synopsis

  • Previous studies identified specific gene polymorphisms (rs2736100, rs4295627, rs4977756, rs6010620) as potential risk factors for glioma but lacked substantial data for clear associations.
  • This research involved a meta-analysis of 21 articles across multiple databases, examining the impact of these gene polymorphisms on glioma risks using different genetic models, with a focus on various racial groups.
  • Findings indicated that certain gene polymorphisms increased glioma risk in Caucasians, while some showed no relevance in Asian populations, highlighting the need for larger studies to confirm these ethnic differences.

Article Abstract

Background: Previous genetic-epidemiological studies considered (rs2736100), (rs4295627), (rs4977756) and (rs6010620) gene polymorphisms as the risk factors specific to glioma. However, the data samples of previous genetic-epidemiological studies are modest to determine whether they have definite association with glioma.

Method: The study paid attention to systematically searching databases of PubMed, Embase, Web of Science (WoS), Scopus, Cochrane Library and Google Scholars. Meta-analysis under 5 genetic models, namely recessive model (RM), over-dominant model (O-DM), allele model (AM), co-dominant model (C-DM) and dominant model (DM) was conducted for generating odds ratios (ORs) and 95% confidence intervals (CIs). That was accompanied by subgroup analyses according to various racial groups. The software STATA 17.0 MP was implemented in the study.

Result: 21 articles were collected. According to data analysis results, in four genetic models (AM, RM, DM and C-DM) gene rs2736100 polymorphism, gene rs4295627 polymorphism, gene rs4977756 polymorphism and gene rs6010620 polymorphisms increased the risk of glioma in Caucasians to different degrees. In Asian populations, the gene rs4295627 polymorphism and gene rs4977756 polymorphism did not exhibit a relevance to the risk of glioma. It is suggested to cautiously explain these results as the sample size is small.

Conclusion: The current meta-analysis suggested that the SNP of (rs2736100), (rs4295627), (rs4977756) and (rs6010620) genes in glioma might increase risk of glioma, but there are ethnic differences. Further studies evaluating these polymorphisms and glioma risk are warranted.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512948PMC
http://dx.doi.org/10.3389/fonc.2023.1180099DOI Listing

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