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Association between a functional variant in RAD51 gene's 3' untranslated region and its mRNA expression in lymphoblastoid cell lines.


ABSTRACT: OBJECT:Variants of microRNA (miRNA)-binding sites in RAD51 gene's 3' untranslated region (3'UTR) are significantly associated with cancer risk, but the roles of these genetic variants in post-transcriptional regulation have not been elucidated. METHODS:The SNPs of RAD51 were identified both in the regulatory region and in the coding region by means of the online database. The bioinformatic tool SNP Function Prediction was used to predict the potential functional relevance of the miRNA-binding sites. We used additional data on RAD51 genotypes and mRNA levels available online for the genotype-phenotype association analysis. RESULTS:We found that rs12593359, rs7180135, rs11855560, and rs45507396 in the RAD51 3'UTR affect possible miRNA-binding sites according to bioinformatic analysis. Only rs12593359 was significantly associated with RAD51 mRNA expression in lymphoblastoid cell lines (P = 0.022). CONCLUSION:This study demonstrated that rs12593359 may be a putative variant mediating the post-transcriptional regulation of the RAD51 gene. Deeper understanding of how 3'UTR variants influence RAD51 activity will pave the way to targeting of the RAD51 pathway as a cancer treatment.

SUBMITTER: Chen F 

PROVIDER: S-EPMC5042920 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Association between a functional variant in <i>RAD51</i> gene's 3' untranslated region and its mRNA expression in lymphoblastoid cell lines.

Chen Fengxia F   Zhang Haozhong H   Pu Feifei F   Pu Feifei F  

SpringerPlus 20160929 1


<h4>Object</h4>Variants of microRNA (miRNA)-binding sites in <i>RAD51</i> gene's 3' untranslated region (3'UTR) are significantly associated with cancer risk, but the roles of these genetic variants in post-transcriptional regulation have not been elucidated.<h4>Methods</h4>The SNPs of <i>RAD51</i> were identified both in the regulatory region and in the coding region by means of the online database. The bioinformatic tool SNP Function Prediction was used to predict the potential functional rele  ...[more]

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