Abstract | OBJECTIVES: Some polymorphisms of the interleukin-16 (IL-16) gene are associated with various cancers. To resolve inconsistencies in published data, we performed a meta-analysis of studies of IL-16 polymorphisms and cancer risk. MATERIALS AND METHODS: Seven eligible studies pooling 1678 cases and 1937 controls were quantitatively analyzed to evaluate three IL-16 polymorphisms (rs4778889, rs4072111, rs11556218) and cancer risk. Hardy-Weinberg equilibrium (HWE) for controls was evaluated by goodness-of-fit chi-squared tests. Odds ratios ( ORs) and their 95% confidence intervals (CIs) were calculated for each genetic model and allelic comparison. Data were pooled using fixed- or random-effects models depending on heterogeneity across studies. RESULTS: Our meta-analysis demonstrated that the IL-16 polymorphism rs11556218 was significantly associated with increased susceptibility to cancer in several models, including allelic contrast (OR=1.307; 95% CI, 1.108-1.541), heterozygote contrast (OR=1.650; 95% CI, 1.424-1.911), and dominant model (OR=1.605; 95% CI, 1.391-1.845). The result remained consistent after adjustment for age and gender. No significant association was found between IL-16 polymorphisms rs4778889 rs4072111 and cancer risk. CONCLUSIONS: The rs11556218 T/G polymorphism of the IL-16 gene was significantly associated with elevated cancer risk in Asian populations. Our results warrant larger, better-designed studies, including a greater ethnic variety.
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Authors | Yanhui Zhao, Li Tao, Bing Wang, Ping Nie, Yanmei Tang, Min Zhu |
Journal | Genetic testing and molecular biomarkers
(Genet Test Mol Biomarkers)
Vol. 18
Issue 3
Pg. 174-82
(Mar 2014)
ISSN: 1945-0257 [Electronic] United States |
PMID | 24328527
(Publication Type: Journal Article, Meta-Analysis)
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Chemical References |
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Topics |
- Adult
- Aged
- Asian People
(genetics, statistics & numerical data)
- Case-Control Studies
- Female
- Genetic Predisposition to Disease
- Humans
- Interleukin-16
(genetics)
- Male
- Middle Aged
- Neoplasms
(epidemiology, genetics)
- Polymorphism, Single Nucleotide
- Risk Factors
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