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Activity Number:
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43
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Type:
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Invited
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Date/Time:
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Sunday, August 3, 2008 : 4:00 PM to 5:50 PM
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Sponsor:
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IMS
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| Abstract - #300392 |
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Title:
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Extensions of Conditional Likelihood Bias Adjustment for Disease Association Risk Estimates in Whole-Genome Scans
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Author(s):
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Fred Wright*+ and Arpita Ghosh and Fei Zou
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Companies:
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The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
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Address:
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3107B McGavran-Greenberg, Chapel Hill, NC, 27599,
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Keywords:
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genome scan ; bias ; association ; genetic risk
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Abstract:
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It is widely recognized that genome-wide association studies suffer from inflation of the risk estimates for genetic variants (usually SNPs) identified as significant in the genome scan. To handle such significance bias, a number of investigators have proposed using likelihoods which condition on the declared significance of the outcome. We elaborate on an approximate conditional likelihood approach that can be applied using odds ratio estimates provided by standard statistical software, and consider competing estimators to the maximum of the conditional likelihood. We also discuss extensions to the situation where risk estimation is performed for multiple correlated phenotypes in the genome scan. The results have considerable importance for the proper design of follow-up studies and risk characterization.
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