Abstract Details
Activity Number:
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291
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Type:
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Invited
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Date/Time:
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Tuesday, August 11, 2015 : 8:30 AM to 10:20 AM
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Sponsor:
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International Chinese Statistical Association
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Abstract #314613
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Title:
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Developing Polygenic Risk Prediction Models Based on Winner's Curse Correction and Multidimensional Thresholding
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Author(s):
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Nilanjan Chatterjee* and Jianxin Shi
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Companies:
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National Cancer Institute and National Cancer Institute
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Keywords:
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Effect size distribution ;
eQTL ;
Heritability ;
Lasso ;
Penalized regression ;
Power calculation
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Abstract:
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Estimates of heritability suggest that genome-wide association studies have the potential to improve genetic risk prediction models, but SNPs discovered at genome-wide significance levels typically have low discriminatory power. We will explore methods for optimal thresholding and weighting SNPs to improve performance of models exploiting sub genomewide significant SNPs. In particular, we will study effects of winner's curse correction in estimation of weights for the SNPs and use of functional/annotation information for defining variable thresholds for SNP selection. Methods will be illustrated based on models built from summary-level results from large GWAS for a variety of complex traits.
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Authors who are presenting talks have a * after their name.
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