| Literature DB >> 25691096 |
Shane Stegeman1, Ernest Amankwah2, Kerenaftali Klein3, Tracy A O'Mara4, Donghwa Kim5, Hui-Yi Lin6, Jennifer Permuth-Wey2, Thomas A Sellers2, Srilakshmi Srinivasan1, Rosalind Eeles7, Doug Easton8, Zsofia Kote-Jarai9, Ali Amin Al Olama8, Sara Benlloch8, Kenneth Muir10, Graham G Giles11, Fredrik Wiklund12, Henrik Gronberg12, Christopher A Haiman13, Johanna Schleutker14, Børge G Nordestgaard15, Ruth C Travis16, David Neal17, Paul Pharoah18, Kay-Tee Khaw19, Janet L Stanford20, William J Blot21, Stephen Thibodeau22, Christiane Maier23, Adam S Kibel24, Cezary Cybulski25, Lisa Cannon-Albright26, Hermann Brenner27, Radka Kaneva28, Manuel R Teixeira29, Amanda B Spurdle4, Judith A Clements1, Jong Y Park2, Jyotsna Batra30.
Abstract
UNLABELLED: Prostate cancer is the second most common malignancy among men worldwide. Genome-wide association studies have identified 100 risk variants for prostate cancer, which can explain approximately 33% of the familial risk of the disease. We hypothesized that a comprehensive analysis of genetic variations found within the 3' untranslated region of genes predicted to affect miRNA binding (miRSNP) can identify additional prostate cancer risk variants. We investigated the association between 2,169 miRSNPs and prostate cancer risk in a large-scale analysis of 22,301 cases and 22,320 controls of European ancestry from 23 participating studies. Twenty-two miRSNPs were associated (P<2.3×10(-5)) with risk of prostate cancer, 10 of which were within 7 genes previously not mapped by GWAS studies. Further, using miRNA mimics and reporter gene assays, we showed that miR-3162-5p has specific affinity for the KLK3 rs1058205 miRSNP T-allele, whereas miR-370 has greater affinity for the VAMP8 rs1010 miRSNP A-allele, validating their functional role. SIGNIFICANCE: Findings from this large association study suggest that a focus on miRSNPs, including functional evaluation, can identify candidate risk loci below currently accepted statistical levels of genome-wide significance. Studies of miRNAs and their interactions with SNPs could provide further insights into the mechanisms of prostate cancer risk. ©2015 American Association for Cancer Research.Entities:
Mesh:
Substances:
Year: 2015 PMID: 25691096 PMCID: PMC4390388 DOI: 10.1158/2159-8290.CD-14-1057
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397