Systematic Search for Gene-Gene Interaction Effect on Prostate Cancer Risk
Abstract
Prostate cancer (PCa) is the most common cancer and the second leading cause of cancer death among men in the United States. Considering that PCa development requires the coordination of many genes, it is expected that simultaneous evaluation of multiple genetic variants can improve the statistical power to detect additional PCa risk variants. Recent improvements in analytical methods and computation make it feasible to search for gene-gene interaction of SNPs in the genome. We hypothesized that multiple sequence variants in the genome may interact to increase PCa risk. These variants may or may not have known main effect on PCa risk and can be better detected by systematically evaluating gene-gene interactions for SNPs in the genome. We utilized data from an existing GWAS of a large NCI Cancer Genetic Markers of Susceptibility (CGEMS) study to systematically discover gene-gene interactions in the genome. We identified pairs of SNPs that interact with each of the thirty-two known risk SNPs on PCa risk using logistic regression. And we confirmed the interaction for approx. 300 pairs of SNPs in another case-control study population in Sweden (CAPS) (P<0.05).
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2011
- Accession Number
- ADA549774
Entities
People
- Jielin Sun
Organizations
- Wake Forest University