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Abstract Details
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Activity Number:
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320
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Type:
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Invited
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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SSC
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| Abstract - #300115 |
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Title:
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Penalized Regression with Application to Genetic Association Studies
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Author(s):
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Wei Pan*+
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Companies:
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University of Minnesota
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Address:
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Division of Biostatistics, Minneapolis, MN, 55455, USA
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Keywords:
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Complex traits ;
Penalized regression ;
Rare variants ;
SNP ;
Statistical tests
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Abstract:
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Recent biotechnological breakthroughs have enabled large-scale genetic association studies to uncover common genetic variants predisposing to common and complex human diseases. However, recently published genome-wide association studies (GWASs) have confirmed the typically small to modest effect sizes of common genetic variants and limited statistical power of the standard single-marker analysis, thus it is critical to develop powerful statistical methods for multi-locus analyses to maximize the chance for discovery. We discuss novel and powerful penalized regression methods for analyses of common and rare variants for genetic association.
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Authors who are presenting talks have a * after their name.
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