Z-L Zhu1, Q-M Yang, C Li, J Chen, M Xiang, M-M Chen, M Yan, Z-G Zhu. 1. Department of General Surgery and the Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. minyan1220@163.com.
Abstract
OBJECTIVE: The aim of this study was to assess the relationship of the resistin gene (RETN)-420 C>G polymorphism and obesity susceptibility by conducting an updated meta-analysis. MATERIALS AND METHODS: The electronic databases including PubMed, Medline, Embase, China National Knowledge Infrastructure, Chinese Wanfang Database, and Chinese VIP database were searched for relevant studies published before December 2013. The fixed effect model or random effects model was used based on the heterogeneity test results. The sensitivity analysis was performed in the allelic model and the dominant genetic model, respectively. Publication bias was assessed via funnel plot. The meta-analysis was performed using the software of RevMan 5.2. RESULTS: Data were obtained from 10 included studies, involving 5,069 cases and 6,673 controls. The overall odds ratios (ORs) with its 95% confidence interval (CI) showed no association between RETN-420 C>G polymorphism and obesity in the allelic model (p = 0.09; OR = 1.10; 95% CI = 0.991.24), the dominant model (p = 0.09; OR = 1.16; 95% CI = 0.98-1.36), and the recessive model (p = 0.71; OR = 1.02; 95% CI = 0.90-1.16). Sensitivity analysis showed statistical differences of association analysis within the allelic model (p = 0.04; OR = 1.14; 95% CI = 1.01-1.28) and the dominant genetic model (p = 0.04; OR = 1.21; 95% CI = 1.01-1.45), when 1 study was omitted. No publication bias was observed. CONCLUSIONS: The RETN-420 C>G polymorphism may be related to obesity with G allele as a risk factor.
OBJECTIVE: The aim of this study was to assess the relationship of the resistin gene (RETN)-420 C>G polymorphism and obesity susceptibility by conducting an updated meta-analysis. MATERIALS AND METHODS: The electronic databases including PubMed, Medline, Embase, China National Knowledge Infrastructure, Chinese Wanfang Database, and Chinese VIP database were searched for relevant studies published before December 2013. The fixed effect model or random effects model was used based on the heterogeneity test results. The sensitivity analysis was performed in the allelic model and the dominant genetic model, respectively. Publication bias was assessed via funnel plot. The meta-analysis was performed using the software of RevMan 5.2. RESULTS: Data were obtained from 10 included studies, involving 5,069 cases and 6,673 controls. The overall odds ratios (ORs) with its 95% confidence interval (CI) showed no association between RETN-420 C>G polymorphism and obesity in the allelic model (p = 0.09; OR = 1.10; 95% CI = 0.991.24), the dominant model (p = 0.09; OR = 1.16; 95% CI = 0.98-1.36), and the recessive model (p = 0.71; OR = 1.02; 95% CI = 0.90-1.16). Sensitivity analysis showed statistical differences of association analysis within the allelic model (p = 0.04; OR = 1.14; 95% CI = 1.01-1.28) and the dominant genetic model (p = 0.04; OR = 1.21; 95% CI = 1.01-1.45), when 1 study was omitted. No publication bias was observed. CONCLUSIONS: The RETN-420 C>G polymorphism may be related to obesity with G allele as a risk factor.