This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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360
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #308539 |
Title:
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Efficient and Fast Gene-by-Gene Interaction Analysis for Genomewide Association Analysis
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Author(s):
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Sohee Oh* and Jaehoon Lee and Min-Seok Kwon and Kyunga Kim and Taesung Park+
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Companies:
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Seoul National University and Seoul National University and Seoul National University and Seoul National University and Seoul National University
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Address:
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56-1 Shillim-Dong Kwanak-Gu, Seoul, 151-747, South Korea
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Keywords:
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Genome wide association study ;
Gene-Gene interaction ;
Statistical genetics
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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