The effect of epistatic interactions between genetic variants located in microRNA and silencing complex genes on prostate cancer progression risk
Author:
Dobrijevic Zorana1, Karanovic Jelena2, Savic-Pavicevic Dusanka2, Brajuskovic Goran2
Affiliation:
1. University of Belgrade, Faculty of Biology, Belgrade, Serbia + Present address: University of Belgrade, Institute for Application of Nuclear Energy, Belgrade, Serbia 2. University of Belgrade, Faculty of Biology, Belgrade, Serbia
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.
Funder
Ministry of Education, Science and Technological Development of the Republic of Serbia
Publisher
National Library of Serbia
Subject
Plant Science,Genetics
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