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Assessment of Association between Common Variants at 17q12 and Prostate Cancer Risk—Evidence from Serbian Population and Meta‐Analysis

机译:评估17q12常见变异与前列腺癌风险之间的关联-来自塞尔维亚人口和荟萃分析的证据

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摘要

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.
机译:这项研究旨在评估两个17q12多态性(rs3760511和rs7501939)的基因型和等位基因与前列腺癌(PCa)风险和进展之间的可能关联。本研究包括271例PCa患者,261例前列腺增生(BPH)患者和171例对照。通过PCR进行单核苷酸多态性(SNP)基因分型,然后进行限制性片段长度(PCR-RFLP)分析。我们对有关这些SNP与PCa风险的关联的已发表研究进行了荟萃分析。 SNP rs3760511的交流基因型与最佳拟合主导模型的BPH风险之间呈正相关的证据(BPH与对照比较,p = 0.026;优势比[OR] = 1.58; 95%的置信区间[95% CI] 1.05-2.36)。 rs7501939的T等位基因与PCa风险之间的关联通过PCa与对照组的比较确定(p = 0.0032; OR = 0.66,95%CI 0.50-0.87),并且最合适的遗传模型是对数加性的。还发现该变异与BPH风险有关(p = 0.0023; OR = 0.65,95%CI 0.49–0.86)。我们发现PCa进展的参数和分析的SNP之间没有关联。荟萃分析显示这些变异与PCa风险之间有很强的联系。我们的研究表明,在塞尔维亚人口中,基因座17q12的SNP与前列腺疾病的风险相关。同时,荟萃分析结果表明这些SNP与PCa风险相关。

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