Center for Cancer Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Fudan-VARI Center for Genetic Epidemiology, Fudan University, Shanghai, China; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Urology, Johns Hopkins Medical Institutions, Baltimore, Maryland; Van Andel Research Institute, Grand Rapids, Michigan.
The molecular mechanisms for the genome-wide association studies (GWAS)-identified prostate cancer (PCa) risk-associated single-nucleotide polymorphisms (SNP) remain largely unexplained. One recent finding that the PCa risk SNPs are enriched in genomic regions containing androgen receptor (AR)-binding sites has suggested altered AR signaling as a potentially important mechanism.
To explore novel associations by leveraging this knowledge, we utilized a meta-analysis previously done over SNPs harbored in ChIP-on-chip identified AR-binding genomic regions using the GWAS data from the Johns Hopkins Hospital (JHH) and the Cancer Genetic Markers of Susceptibility (CGEMS) study, and subsequently evaluated the top associations in a third population from the CAncer of the Prostate in Sweden (CAPS) study.
One SNP (rs4919743: G>A), located at the KRT8 locus at 12q13.13 which encodes a keratin protein (K8) long used as a prostate epithelial malignancy marker and implicated in the tumorigenesis of several cancer types, was identified to be associated with PCa risk. The frequency of its minor "A" allele was consistently higher in PCa cases than in controls in all three study populations, with a combined OR of 1.22 (95% CI: 1.13-1.32) and an overall P value of 4.50 × 10-7 (Bonferroni corrected, P = 0.006).
We have identified a novel genetic locus that is associated with PCa risk.
This study illustrated the great potential of prior biological knowledge in facilitating the search for novel disease-associated genetic loci. This finding warrants further replication in other studies.
Written by:
Feng J, Sun J, Kim ST, Lu Y, Wang Z, Zhang Z, Gronberg H, Isaacs WB, Zheng SL, Xu J. Are you the author?
Reference: Cancer Epidemiol Biomarkers Prev. 2011 Oct 18. Epub ahead of print.
doi: 10.1158/1055-9965.EPI-11-0523
PubMed Abstract
PMID: 21960693
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