02 September 2015 : Meta-Analysis
Adiponectin Gene Polymorphisms are Associated with Increased Risk of Colorectal Cancer
Xiaoyu YangABC, Jinsong LiBC, Weimei CaiCD, Qinghui YangEF, Zhihong LuBE, Jian YuBD, Hong YuAE, Na ZhangBE, Deyu SunBF, Yanli QuBF, Hong GuoE, Fengyun WenD, Yinghua JiBEFDOI: 10.12659/MSM.893472
Med Sci Monit 2015; 21:2595-2606
Abstract
BACKGROUND: This meta-analysis investigates the associations of adiponectin (ADIPOQ) genetic polymorphisms with the susceptibility to colorectal cancer (CRC).
MATERIAL AND METHODS: 2 reviewers independently searched 6 databases – PubMed, Cochrane Library, Ovid, Embase, China National Knowledge Infrastructure (CNKI) and Wanfang databases – to identify published studies relevant to adiponectin gene polymorphisms and CRC. Studies retrieved from database searches were screened using our stringent inclusion and exclusion criteria. Full texts of the selected studies were accessed and related data was extracted using a standardized data extraction form. Comprehensive Meta-analysis 2.0 software was used for statistical analyses.
RESULTS: A total of 188 studies were initially retrieved from database search, and 6 studies were eventually selected, through a rigorous screening process, for inclusion in this meta-analysis. The 6 studies contained a total of 1897 patients (Asians: 1190; white: 707) with CRC in case group and 2475 healthy controls (Asians: 1325; white: 1150) in the control group. Results of the current meta-analysis revealed that the rs2241766 T>G single-nucleotide polymorphisms (SNP) increase the risk of CRC; rs1501299 G>T under dominant model was associated with increased risk of CRC; and rs266729 C>G SNP under allele model conferred an increased risk of CRC.
CONCLUSIONS: Our meta-analysis strongly suggests that the ADIPOQ rs2241766 T>G, rs1501299 G>T, and rs266729 C>G SNPs correlate with an increased risk of CRC.
Keywords: Colorectal Neoplasms - genetics, Adiponectin - genetics, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Models, Genetic, Polymorphism, Single Nucleotide
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