The common gene MC4R rs17782313 polymorphism associated with obesity: A meta-analysis

Background: Genome-wide association studies have shown that polymorphism of the melanocortin 4 receptor (MC4R) gene is associated with obesity. The aim of the study is the association of MC4R polymorphism with obesity. Methods: In order to detect the correlation between rs17782313 polymorphism of the MC4R gene and risk of obesity, literature research has been carried out in PubMed, MEDLINE, Springer, and google scholars. The heterogeneity was examined, and the pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used for five models: co-dominant CC vs TT and CT vs TT, dominant (CC + CT vs. TT), recessive CC vs CT + TT and allele C vs T, where it was calculated using the fixed and random-effects model. Results: The article deals this meta-analysis included 11 eligible studies (comprising involving cases 4055 and 3738 controls) were selected from 86 articles. The results indicated that the significantly associated with obesity risk, But it was differentiated between subgroups with genotypes models among five models, the most prominent correlations were with genetic models: genotyping methods (OR = 1.45, 95% CI:1.21-1.75, P < 0.0001), children and adolescents of populations (OR = 1.60, 95% CI:1.17-2.18, P = 0.003) of dominant, (OR = 1.70, 95% CI:1.31-2.21, P < 0.0001) of co-dominant model - homozygous, and sample size under allele model (OR = 1.39, 95% CI:1.23-1.57, P < 0.0001). In addition, other subgroups were to reveal some between MC4R rs17782313 polymorphism and obesity risk under each model. Conclusions: It may be concluded from the studies that confirmed the current meta-analysis indicated that the risk of obesity was associated significantly with rs17782313 polymorphisms of the MC4R gene. In addition, the associations provide significant data on methods of genotyping in Asian populations and some other subgroups.

Automated summary

This study found a significant association between MC4R gene rs17782313 polymorphism and obesity risk through meta-analysis, with the strongest correlations observed in genotype models, genotyping methods, and sample size.