Efficient and Fast Gene-by-Gene Interaction Analysis for Genomewide Association Analysis

• Activity Number: 360
• Type: Contributed
• Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
• Sponsor: Biometrics Section
• Author(s): Sohee Oh* and Jaehoon Lee and Min-Seok Kwon and Kyunga Kim and Taesung Park+
• Companies: Seoul National University and Seoul National University and Seoul National University and Seoul National University and Seoul National University
• Keywords: Genome wide association study ; Gene-Gene interaction ; Statistical genetics

Abstract

Most complex biological phenotypes are often affected by multiple genes and environmental factors. Thus, the investigation of gene-gene and gene-environment interactions can be essential in understanding the genetic architecture of complex traits. Many different methods have been proposed to analyze gene-gene interactions in genetic association studies. Among them, the multifactor dimensionality reduction (MDR) method is known to have the advantages in examining high-order interactions and detecting interactions and has been widely applied to detect gene-gene interactions in many common diseases. However, the current MDR focuses on SNP level interactions. In this paper, we propose the gene-based MDR method (GENE-MDR) which focuses on gene level interactions. GENE-MDR first summarizes the gene effect through SNP interactions and then performs MDR analysis for the summarized gene effects.