JSM 2011 Online Program

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Abstract Details

Activity Number: 320
Type: Invited
Date/Time: Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
Sponsor: SSC
Abstract - #300115
Title: Penalized Regression with Application to Genetic Association Studies
Author(s): Wei Pan*+
Companies: University of Minnesota
Address: Division of Biostatistics, Minneapolis, MN, 55455, USA
Keywords: Complex traits ; Penalized regression ; Rare variants ; SNP ; Statistical tests

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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