title: Association between a functional variant inRAD51gene's 3' untranslated region and its mRNA expression in lymphoblastoid cell lines.
abstract: OBJECTIVE
  Variants of microRNA (miRNA)-binding sites inRAD51gene'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 ofRAD51were 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 onRAD51genotypes and mRNA levels available online for the genotype-phenotype association analysis.
  
  
  RESULTS
  We found that rs12593359, rs7180135, rs11855560, and rs45507396 in theRAD513'UTR affect possible miRNA-binding sites according to bioinformatic analysis. Only rs12593359 was significantly associated withRAD51mRNA expression in lymphoblastoid cell lines (P = 0.022).
  
  
  CONCLUSIONS
  This study demonstrated that rs12593359 may be a putative variant mediating the post-transcriptional regulation of theRAD51gene. Deeper understanding of how 3'UTR variants influenceRAD51activity will pave the way to targeting of theRAD51pathway as a cancer treatment.
authors.affiliation: Department of Medical Oncology, General Hospital of The Yangtze River Shipping, Wuhan, 430022 Hubei People's Republic of China.
authors.forename: Fengxia
authors.initials: F
authors.lastname: Chen
authors.affiliation: Department of Medical Oncology, General Hospital of The Yangtze River Shipping, Wuhan, 430022 Hubei People's Republic of China.
authors.forename: Haozhong
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei People's Republic of China.
authors.forename: Feifei
authors.initials: F
authors.lastname: Pu
keywords: Genetic; MicroRNA; Polymorphism; RAD51; Variant