These authors contributed equally to this work.
Assessment of Association between Common Variants at 17q12 and Prostate Cancer Risk—Evidence from Serbian Population and Meta-Analysis
Article first published online: 14 JAN 2014
© 2014 Wiley Periodicals, Inc.
Clinical and Translational Science
Volume 7, Issue 4, pages 307–313, August 2014
How to Cite
Nikolić, Z. Z., Branković, A. S., Savić-Pavićević, D. L.J., Preković, S. M., Vukotić, V. D., Cerović, S. J., Filipović, N. N., Tomović, S. M., Romac, S. P. and Brajušković, G. N. (2014), Assessment of Association between Common Variants at 17q12 and Prostate Cancer Risk—Evidence from Serbian Population and Meta-Analysis. Clinical and Translational Science, 7: 307–313. doi: 10.1111/cts.12130
- Issue published online: 14 AUG 2014
- Article first published online: 14 JAN 2014
- Ministry of Education and Science of Serbia. Grant Number: 173016
- prostate cancer;
- association study;
- single nucleotide polymorphism (SNP);
This study aimed to evaluate possible association between genotypes and alleles of two 17q12 polymorphisms (rs3760511 and rs7501939) and prostate cancer (PCa) risk and progression. Two hundred seventy-one patients with PCa, 261 patients with benign prostatic hyperplasia (BPH), and 171 controls were included in the study. Single nucleotide polymorphisms (SNPs) were genotyped by using PCR followed by restriction fragment length (PCR-RFLP) analysis. We conducted meta-analysis of published studies regarding association of these SNPs with PCa risk. Evidence of positive association between the AC genotype of the SNP rs3760511 and BPH risk for the best-fitting overdominant model of association (BPH vs. controls comparison, p = 0.026; odds ratio [OR] = 1.58; 95% confidence interval [95%CI] 1.05–2.36) were obtained. The association between T allele of rs7501939 and PCa risk was determined in PCa versus controls comparison (p = 0.0032; OR = 0.66, 95%CI 0.50–0.87) with the best-fitting model of inheritance being log-additive. This variant was also found to be associated with the risk of BPH (p = 0.0023; OR = 0.65, 95%CI 0.49–0.86). We found no association between parameters of PCa progression and the analyzed SNPs. Meta-analysis showed strong association between these variants and PCa risk. Our study shows association between SNPs at locus 17q12 and the risk of prostatic diseases in Serbian population. At the same time, results of meta-analysis suggest the association of these SNPs with PCa risk.