Pattern Identification of SNP-SNP Interactions

• Activity Number: 555
• Type: Contributed
• Date/Time: Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistics in Genomics and Genetics
• Author(s): Hui-Yi Lin* and Dung-Tsa Chen
• Companies: Moffitt Cancer Center and Moffitt Cancer Center
• Keywords: SNP ; polymophism ; interaction

Abstract

It has led to the general recognition that targeting individual single nucleotide polymorphisms (SNPs) is not sufficient to explain the complexity of cancer causality. The predictive power of cancer risk for the SNPs identified in the genome-wide association (GWA) studies is limited with the median per-allele odds ratio of 1.2 based on a recent review. SNP-SNP interactions may be the key to overcome bottleneck situations of genetic association studies. Although a growing number of studies evaluate SNP-SNP interactions to complement the findings from univariate analyses, statistical methods for detecting SNP-SNP interactions are still under-development. The objective of this study is to propose a new statistical approach for evaluating 2-way SNP-SNP interactions. A simulation study was conducted to compare our proposed method with other related statistical approaches. A large scale prostate cancer consortium data were applied to evaluate SNP-SNP interactions associated with prostate cancer risk/aggressiveness.