The effect of epistatic interactions between genetic variants located in microRNA and silencing complex genes on prostate cancer progression risk

4区 农林科学 Q3 Agricultural and Biological Sciences Genetika-Belgrade Pub Date : 2023-01-01 DOI:10.2298/gensr2301263d
Zorana Dobrijević, J. Karanović, D. Savić-Pavićević, G. Brajušković
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Abstract

Previous studies conducted in Asian and European populations have provided evidence of the association between microRNA-related genetic variants and prostate cancer (PCa) risk and/or progression. Nevertheless, the results obtained in these studies are inconsistent, which could be explained by the limitations of single-locus main effect evaluations to detect joint effects of multiple genetic variants, reflected in statistical epistases. Therefore, we conducted the analysis of potential epistatic interactions between variants located in microRNA genes and in genes encoding the components of RNA-induced silencing complex (RISC) in relation with PCa risk/aggressiveness. Raw data on genotyping results from our previous studies involving four microRNA polymorphisms and five variants in RISC genes were subjected to the exclusion of samples based on missing data criterion, followed by the re-evaluation of Hardy-Weinberg equilibrium. Afterwards, these genotyping results were included in the Multifactor dimensionality reduction (MDR) analysis. Permutation testing was conducted in order to assess statistical significance of the best models from MDR tests. MDR tests on the risk of developing PCa yielded statistically insignificant results. Nevertheless, the MDR results for comparison of PCa patients with high and low cancer progression risk were statistically significant for the analysis that included rs11614913, with the 3-locus best model comprising this genetic variant, rs7813 and rs784567. We conclude that statistical epistasis between rs11614913 in hsa-miR-196a2, rs7813 in GEMIN4 and rs784567 in TARBP2 shows association with the invasiveness of PCa.
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microRNA基因变异与沉默复杂基因之间的上位性相互作用对前列腺癌进展风险的影响
先前在亚洲和欧洲人群中进行的研究已经提供了microrna相关遗传变异与前列腺癌(PCa)风险和/或进展之间关联的证据。然而,这些研究得到的结果并不一致,这可能是由于单位点主效应评估在检测多个遗传变异的联合效应方面存在局限性,这反映在统计上位性上。因此,我们分析了位于microRNA基因和编码rna诱导沉默复合体(RISC)成分的基因中的变异与PCa风险/侵袭性的潜在上位性相互作用。我们先前的研究涉及RISC基因的4个microRNA多态性和5个变异的基因分型结果的原始数据基于缺失数据标准排除样本,然后重新评估Hardy-Weinberg平衡。然后,将这些基因分型结果纳入多因素降维(MDR)分析。进行排列检验以评估MDR检验中最佳模型的统计学显著性。多药耐药试验对PCa发病风险的影响没有统计学意义。然而,在包含rs11614913的分析中,比较高、低癌进展风险PCa患者的MDR结果具有统计学意义,其中包含该遗传变异rs7813和rs784567的3位点最佳模型。我们得出结论,hsa-miR-196a2中的rs11614913、GEMIN4中的rs7813和TARBP2中的rs784567之间的统计学上的优势表明与PCa的侵袭性有关。
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来源期刊
Genetika-Belgrade
Genetika-Belgrade AGRONOMY-GENETICS & HEREDITY
CiteScore
1.80
自引率
0.00%
发文量
1
审稿时长
6-12 weeks
期刊介绍: The GENETIKA is dedicated to genetic studies of all organisms including genetics of microorganisms, plant genetics, animal genetics, human genetics, molecular genetics, genomics, functional genomics, plant and animal breeding, population and evolutionary genetics, mutagenesis and genotoxicology and biotechnology.
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