Department of Maternal and Child Health Care, School of Public Health, Shandong University, No 44 Wen Hua Xi Road, Jinan, 250012, China.
Mol Biol Rep. 2012 May;39(5):6107-12. doi: 10.1007/s11033-011-1427-5. Epub 2012 Jan 1.
Many studies have suggested that transforming growth factor-β1 (TGF-β1) gene might be involved in the development of hypertension. However, results have been inconsistent. In this study, the authors performed a meta-analysis to investigate the associations of +869T/C and +915G/C polymorphisms in TGF-β1 gene with hypertension risk in Chinese. Published literature from PubMed, EMBASE, CNKI, CBM, and Wanfang Data were searched. Pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using fixed or random-effects model. Nine studies (1,995 cases/1,840 controls) for +869T/C polymorphism and seven studies (1,547 cases/1,577 controls) for +915G/C polymorphism were included in the meta-analysis. The overall result showed that there was a statistically significant association between +869T/C polymorphism and hypertension risk (CC vs. TT: OR = 1.80, 95% CI 1.34-2.44). Similar results were found among two geographic locations and two subgroups with different sample size. However, no significant association was found for +915G/C polymorphism with the risk of hypertension (CC vs. GG: OR = 1.66, 95% CI 0.74-3.74). The meta-analysis indicated the significant association of +869T/C, but not +915G/C polymorphism with hypertension susceptibility. However, given the limited sample size, the associations warrant further investigation.
许多研究表明转化生长因子-β1(TGF-β1)基因可能参与高血压的发生。然而,结果并不一致。本研究作者进行了荟萃分析,以探讨 TGF-β1 基因+869T/C 和+915G/C 多态性与中国人群高血压易感性的关系。检索了 PubMed、EMBASE、CNKI、CBM 和万方数据中的已发表文献。使用固定或随机效应模型计算合并优势比(OR)和 95%置信区间(CI)。荟萃分析纳入了 9 项研究(1995 例病例/1840 例对照)用于+869T/C 多态性,7 项研究(1547 例病例/1577 例对照)用于+915G/C 多态性。总体结果表明,+869T/C 多态性与高血压风险之间存在统计学显著关联(CC 与 TT:OR=1.80,95%CI 1.34-2.44)。在两个地理位置和两个不同样本量的亚组中均发现了类似的结果。然而,+915G/C 多态性与高血压风险之间没有显著关联(CC 与 GG:OR=1.66,95%CI 0.74-3.74)。荟萃分析表明,+869T/C 多态性与高血压易感性显著相关,但+915G/C 多态性无显著相关性。然而,鉴于样本量有限,这些关联需要进一步研究。