This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #308539
Title: Efficient and Fast Gene-by-Gene Interaction Analysis for Genomewide Association Analysis
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
Address: 56-1 Shillim-Dong Kwanak-Gu, Seoul, 151-747, South Korea
Keywords: Genome wide association study ; Gene-Gene interaction ; Statistical genetics

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.

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