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Activity Number:
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373
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #304551 |
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Title:
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Using Cases from Genome-Wide Association Studies to Strengthen Inference on the Association Between Single Nucleotide Polymorphisms and a Secondary Phenotype
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Author(s):
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Huilin Li*+ and Mitchell H. Gail
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Companies:
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National Cancer Institute and National Cancer Institute
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Address:
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6120 Executive Plaza, Rockville , MD, 20852,
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Keywords:
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GWAS ; case-control ; Empirical Bayes ; secondary phenotype
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Abstract:
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Whole genome scan case-control association studies offer the opportunity to study the association of genotypes with a secondary phenotype in addition to case-control status. Because controls may represent a random sample from the population, they can be used for this purpose. However, the cases can provide additional useful information. We examine under what conditions cases can be used without introducing bias in estimating the association between a genotype and a secondary phenotype. We consider a two-stage model to incorporate the bias from using cases, and propose an Empirical Bayes method to combine the case and control data to estimate the association with reduced mean square error, based on a balance between bias and variance. Both simulated and real data examples suggest the advantage of the newly proposed Empirical Bayes estimator.
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