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Activity Number:
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87
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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General Methodology
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| Abstract - #307659 |
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Title:
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Efficient Design and Analysis of Genome-Wide Association Studies
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Author(s):
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Michael Boehnke*+
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Companies:
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University of Michigan
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Address:
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School of Public Health, Ann Arbor, MI, 48109-2029,
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Keywords:
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association ; genetics ; type 2 diabetes ; two-stage designs
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Abstract:
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Genome wide association studies in which hundreds of thousands of genetic markers are genotyped on hundreds or thousands of subjects are now a practical approach to study the genetic basis of complex human diseases. In this talk, I will discuss optimal experimental design and analysis methods for two-stage genome wide association studies in which a subset of samples is genotyped on all genetic markers in stage 1, and the remaining samples are genotyped on the most interesting markers in stage 2. I also will discuss the use of genome wide association data for matching cases and controls to correct for possible population stratification. I will illustrate these methods with application to data from stage 1 of a genome wide association study of type 2 diabetes from the Finland-United States Investigation of NIDDM Genetics (FUSION) study.
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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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