The C825T Polymorphism of the G-Protein β3 Subunit Gene and Its Association with Hypertension and Stroke: An Updated Meta-Analysis

• Published in: PloS one Vol. 8; no. 6; p. e65863
• Main Authors: Guo, Lu, Zhang, Li-Li, Zheng, Bo, Liu, Yun, Cao, Xiao-Jie, Pi, Yan, Li, Bing-Hu, Li, Jing-Cheng
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 14.06.2013; Public Library of Science (PLoS)
• Subjects: Biology; Case-Control Studies; Confidence intervals; Diabetes; Epidemiology; Full text databases; Gene Frequency; Gene polymorphism; Genes; Genetic Association Studies; Genetic Predisposition to Disease; Heterogeneity; Heterotrimeric GTP-Binding Proteins - genetics; Hospitals; Humans; Hypertension; Hypertension - genetics; Lists; Medical ethics; Medicine; Meta-analysis; Neurology; Polymorphism; Polymorphism, Single Nucleotide; Population; Population studies; Proteins; Regression analysis; Sensitivity analysis; Signal transduction; Stability analysis; Statistical analysis; Stroke; Stroke - genetics; Studies; Surgery; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0065863

Several epidemiological studies have evaluated the association between the GNB3 C825T polymorphism and hypertension or stroke. The results of these studies were inconsistent; therefore, we performed a meta-analysis to clarify these discrepancies. We systematically searched the PubMed, Embase, Web of Science, CNKI, and CBM databases, and manually searched reference lists of relevant papers, meeting abstracts, and relevant journals. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for dominant, recessive, and allelic models. A fixed or random effects model was separately adopted depending on study heterogeneity. Subgroup and sensitivity analyses were performed to detect study heterogeneity and examine result stability, respectively. Publication bias was tested using funnel plots, the Egger's regression test, and Begg's test. We screened 66 studies regarding hypertension and eight concerning stroke. A combined analysis showed that only the allelic model found a marginal association with hypertension (OR = 1.07, 95% CI = 1.01-1.13) and female gender (OR = 1.11, 95% CI = 0.99-1.24). However, no comparison models found an association with stroke (allelic model: OR = 1.11, 95% CI = 0.94-1.32; dominant model: OR = 1.16, 95% CI = 0.92-1.48; and recessive model: OR = 1.05, 95% CI = 0.97-1.14). Sensitivity analysis suggested that all models did not yield a relationship to hypertension or stroke among Asians. Besides, there was a lack of statistical association with hypertension in Caucasians, which maybe due to a small sample size. When we restricted the included studies to normal populations according to the Hardy-Weinberg equilibrium, no association was found. There was no evidence indicating that the 825T allele or TT genotype was associated with hypertension or stroke in Asians or hypertension in Caucasians. However, further studies regarding Africans and other ethnicities are needed to identify further correlations.