Liu Xiao-Cui, Guo Xiao-Hui, Chen Bing, Li Zhao-Hui, Liu Xiao-Fei
Department of Ophthalmology, General Hospital of Chinese PLA, 100853, Beijing, People's Republic of China.
Department of Laboratory Medicine, General Hospital of Ji'nan Military Region of PLA, Ji'nan, 250031, Shandong Province, People's Republic of China.
Int Ophthalmol. 2018 Aug;38(4):1451-1457. doi: 10.1007/s10792-017-0606-3. Epub 2017 Jun 19.
To investigate the association between the 8-oxoguanine DNA glycosylase (OGG1) gene Ser326Cys (rs1052133) polymorphism and age-related cataract (ARC).
MEDLINE and EMBASE were searched to identify potential studies published before May 19, 2017, investigating the association between the OGG1 gene Ser326Cys polymorphism and ARC risk. The quality of eligible studies was assessed using the Newcastle-Ottawa Scale tool. The association between the OGG1 gene Ser326Cys polymorphism and ARC was analyzed using meta-analysis. Publication bias and sensitivity analyses were also performed.
Six studies were included in this systematic review, and five of these studies with Hardy-Weinberg equilibrium were included in a meta-analysis. The sample size of the meta-analysis was 3716, including 1831 patients with cataract and 1885 controls. Odds ratios (ORs) were 0.67 (95% confidence interval (CI) 0.52-0.85), 0.90 (95% CI 0.54-1.51), 0.52 (95% CI 0.32-0.85) and 0.72 (95% CI 0.56-0.92) for recessive, dominant, additive and allele contrast models, respectively. Sensitivity analysis indicated that the results of the meta-analysis were robust. No publication bias was observed.
The OGG1 gene Ser326Cys polymorphism was associated with ARC risk.
探讨8-氧代鸟嘌呤DNA糖基化酶（OGG1）基因Ser326Cys（rs1052133）多态性与年龄相关性白内障（ARC）之间的关联。
检索MEDLINE和EMBASE数据库，以识别2017年5月19日前发表的关于OGG1基因Ser326Cys多态性与ARC风险关联的潜在研究。使用纽卡斯尔-渥太华量表工具评估纳入研究的质量。采用Meta分析方法分析OGG1基因Ser326Cys多态性与ARC之间的关联。同时进行发表偏倚和敏感性分析。
本系统评价纳入6项研究，其中5项符合Hardy-Weinberg平衡的研究纳入Meta分析。Meta分析的样本量为3716例，包括1831例白内障患者和1885例对照。隐性、显性、共显性和等位基因对比模型的比值比（OR）分别为0.67（95%置信区间（CI）0.52-0.85）、0.90（95%CI 0.54-1.51）、0.52（95%CI 0.32-0.85）和0.72（95%CI 0.56-0.92）。敏感性分析表明Meta分析结果稳健。未观察到发表偏倚。
OGG1基因Ser326Cys多态性与ARC风险相关。
