The identification of trans-associations between prostate cancer GWAS SNPs and RNA expression differences in tumor-adjacent stroma.
Title
The identification of trans-associations between prostate cancer GWAS SNPs and RNA expression differences in tumor-adjacent stroma.
Creator
Chen Xin; McClelland Michael; Jia Zhenyu; Rahmatpanah Farah B; Sawyers Anne; Trent Jeffrey; Duggan David; Mercola Dan
Publisher
Oncotarget
Date
2015
2015-01
Description
Here we tested the hypothesis that SNPs associated with prostate cancer risk, might differentially affect RNA expression in prostate cancer stroma. The most significant 35 SNP loci were selected from Genome Wide Association (GWA) studies of \textasciitilde40,000 patients. We also selected 4030 transcripts previously associated with prostate cancer diagnosis and prognosis. eQTL analysis was carried out by a modified BAYES method to analyze the associations between the risk variants and expressed transcripts jointly in a single model. We observed 47 significant associations between eight risk variants and the expression patterns of 46 genes. This is the first study to identify associations between multiple SNPs and multiple in trans gene expression differences in cancer stroma. Potentially, a combination of SNPs and associated expression differences in prostate stroma may increase the power of risk assessment for individuals, and for cancer progression.
Subject
Humans; Male; Risk Factors; Genetic Predisposition to Disease; Genome-Wide Association Study; Prostatic Neoplasms/*genetics/metabolism; RNA/*biosynthesis/genetics; Polymorphism; Single Nucleotide
Identifier
Rights
Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
Citation
Chen Xin; McClelland Michael; Jia Zhenyu; Rahmatpanah Farah B; Sawyers Anne; Trent Jeffrey; Duggan David; Mercola Dan, “The identification of trans-associations between prostate cancer GWAS SNPs and RNA expression differences in tumor-adjacent stroma.,” NEOMED Bibliography Database, accessed February 18, 2025, https://neomed.omeka.net/items/show/5033.