ABSTRACT
Purpose: This study was conducted to comprehensively evaluate the potential association of SKIV2L polymorphism rs429608 with age-related macular degeneration (AMD) through a meta-analysis.
Methods: We performed a literature search in EMBASE, PubMed, Web of Science, and the Chinese Biomedical Database for AMD genetic studies published before August 30, 2015. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated for single-nucleotide polymorphisms (SNPs) using fixed-effect models or random effect models according to between-study heterogeneity. Publication bias analyses were conducted using Egger’s test.
Results: A total of five studies from published articles were included, and a total number of 2789 AMD cases and 3451 healthy controls were tested in this meta-analysis. The results demonstrated that SKIV2L rs429608 is associated with AMD under allelic model (A vs. G; OR = 0.52, 95% CI 0.44–0.62, p < 0.001), heterozygous model (AG vs. GG; OR = 0.51; 95%CI, 0.38–0.68; p < 0.001; PQ = 0.48; I2 = 0) and dominant model (AA+AG vs. GG; OR = 0.49; 95%CI 0.37–0.65; p < 0.001; PQ = 0.44; I2 = 0), but not under other genetic models.
Conclusions: This meta-analysis showed that SKIV2L rs429608 was statistically associated with AMD and it might exert a protective effect on AMD. Further investigations are needed to validate the association and confirm the role of SKIV2L in AMD.
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Acknowledgments
We gratefully acknowledge all the authors who kindly participated in this research. Bo Gong and Yi Shi conceived and designed the study; Ping Shuai, Zimeng Ye, and Bo Gong retrieved the data; Xiaoqi Liu and Huaichao Luo analyzed the data; Yuping Liu, Chao Qu, Xiaoyun Feng, and Xiulan Li were consulted to resolve the dispute of the analysis; Zimeng Ye, Ping Shuai, and Bo Gong contributed to the writing of the manuscript.
Declaration of interest
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.
Funding
This study was supported by grants from the Natural Science Foundation of China (81371048 (B.G.), 81170882 (Y.S.) and 81570888(Y.S.)); The Department of Science and Technology of Sichuan Province, China (2015HH0031(B.G.), 2014JZ0004 (Y.S.), 2016JQ0026 (Y.S.)); The Science and Technology Innovation & Talent Project of Sichuan Province (2014-58(P.S.)); and The Youth Innovation Medical Science Project of Sichuan Provincial Medical Association (Q14048 (P.S.)).