A Large-Scale Analysis of Genetic Variants within Putative miRNA Binding Sites in Prostate Cancer



: Stegeman S, Amankwah E, Klein K, O'Mara TA, Kim D, Lin HY, Permuth-Wey J, Sellers TA, Srinivasan S, Eeles R, Easton D, Kote-Jarai Z, Al Olama AA, Benlloch S, Muir K, Giles GG, Wiklund F, Gronberg H, Haiman CA, Schleutker J, Nordestgaard BG, Travis RC, Neal D, Pharoah P, Khaw KT, Stanford JL, Blot WJ, Thibodeau S, Maier C, Kibel AS, Cybulski C, Cannon-Albright L, Brenner H, Kaneva R, Teixeira MR, Spurdle AB, Clements JA, Park JY, Batra J

Publisher: AMER ASSOC CANCER RESEARCH

: 2015

: Cancer Discovery

: CANCER DISCOVERY

: CANCER DISCOV

: 5

: 4

: 368

: 379

: 12

: 2159-8274

: 2159-8290

DOI: https://doi.org/10.1158/2159-8290.CD-14-1057


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. (C)2015 AACR.




Last updated on 2024-26-11 at 22:24