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ABSTRACT: Purpose
We conducted a meta-analysis aiming to evaluate the relationship between a common polymorphism (rs2511989 G>A) in the SERPING1 gene and the risk of age-related macular degeneration (AMD).Methods
The PubMed, CISCOM, CINAHL, Web of Science, Google Scholar, EBSCO, Cochrane Library, and CBM databases were searched for relevant articles published before November 1, 2013, without any language restrictions. A meta-analysis was conducted using STATA 12.0 software. We calculated a crude odds ratio (OR) with a 95% confidence interval (95% CI) to evaluate the relationships under five genetic models.Results
Seven case-control studies with a total of 7,159 patients with AMD and 5,797 healthy subjects met the inclusion criteria. The results of our meta-analysis showed that the SERPING1 rs2511989 polymorphism might be correlated with an increased risk of AMD (G allele versus A allele: OR = 1.09, 95% CI = 1.03-1.15, p = 0.020; GG + GA versus AA: OR = 1.14, 95% CI = 1.03-1.26, p = 0.014; GG versus GA+AA: OR = 1.10, 95% CI = 1.02-1.19, p = 0.012; GG versus AA: OR = 1.20, 95% CI = 1.07-1.34, p = 0.002; respectively). Results of subgroup analysis by ethnicity revealed positive correlations between the SERPING1 rs2511989 polymorphism and risk of AMD among Caucasians under five genetic models (all p<0.05), but not among Asians (all p>0.05).Conclusions
The current meta-analysis shows that the SERPING1 rs2511989 polymorphism may have a positive effect on the risk of AMD, especially among Caucasians.
SUBMITTER: Ma YB
PROVIDER: S-EPMC4203579 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Ma Yan-Bo YB Fu Shao-Ying SY Ma Yan-Hua YH Liu Hong-Ling HL
Molecular vision 20141017
<h4>Purpose</h4>We conducted a meta-analysis aiming to evaluate the relationship between a common polymorphism (rs2511989 G>A) in the SERPING1 gene and the risk of age-related macular degeneration (AMD).<h4>Methods</h4>The PubMed, CISCOM, CINAHL, Web of Science, Google Scholar, EBSCO, Cochrane Library, and CBM databases were searched for relevant articles published before November 1, 2013, without any language restrictions. A meta-analysis was conducted using STATA 12.0 software. We calculated a ...[more]