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Association of OGG1 and MTHFR polymorphisms with age-related cataract: A systematic review and meta-analysis.


ABSTRACT:

Purpose

To discern and confirm genetic biomarkers that help identify populations at high risk for age-related cataract (ARC).

Methods

A literature search was performed in the PubMed, Web of Science and China National Knowledge Internet databases for genetic association studies published before June 26, 2016 regarding ARC susceptibility. All genetic polymorphisms reported were systematically reviewed, followed by extraction of candidate genes/loci with sufficient genotype data in ?3 studies for the meta-analysis. A random/fixed-effects model was used to calculate the pooled odds ratios and 95% confidence intervals to evaluate the associations considering multiple genetic models. Sensitivity analysis was also performed.

Results

A total of 144 polymorphisms in 36 genes were reported in the 61 previous genetic association studies. Thereby, three polymorphisms of two genes (8-oxoguanine DNA glycosylase-1 [OGG1]; methylenetetrahydrofolate reductase NADPH [MTHFR]) in eight studies were included in the meta-analysis. Regarding the OGG1-rs1052133, the GG (OR = 1.925; 95%CI, 1.181-3.136; p = 0.009) and CG (OR = 1.384; 95%CI, 1.171-1.636; p<0.001) genotypes indicated higher risk of ARC. For the MTHFR gene, the CC+TT genotype of rs1801133 might be protective (OR, 0.838; 95%CI, 0.710-0.989; p = 0.036), whereas the AA+CC genotype of rs1801131 indicated increased risk for the mixed subtype (OR = 1.517; 95%CI, 1.113-2.067; p = 0.008).

Conclusions

Polymorphisms of OGG1 and MTHFR genes are associated with ARC susceptibility and may help identify populations at high risk for ARC.

SUBMITTER: Wu X 

PROVIDER: S-EPMC5333819 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Association of OGG1 and MTHFR polymorphisms with age-related cataract: A systematic review and meta-analysis.

Wu Xiaohang X   Lai Weiyi W   Lin Haotian H   Liu Yizhi Y  

PloS one 20170302 3


<h4>Purpose</h4>To discern and confirm genetic biomarkers that help identify populations at high risk for age-related cataract (ARC).<h4>Methods</h4>A literature search was performed in the PubMed, Web of Science and China National Knowledge Internet databases for genetic association studies published before June 26, 2016 regarding ARC susceptibility. All genetic polymorphisms reported were systematically reviewed, followed by extraction of candidate genes/loci with sufficient genotype data in ≥  ...[more]

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