Association screening of common and rare genetic variants by penalized regression.

Zhou, Hua; Sehl, Mary E; Sinsheimer, Janet S; Lange, Kenneth · Bioinformatics · 2010

other · Level V

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Abstract

This article extends our recent research on penalized estimation methods in genome-wide association studies to the realm of rare variants. The new strategy is tested on both simulated and real data. Our findings on breast cancer data replicate previous results and shed light on variant effects within genes. Rare variant discovery by group penalized regression is now implemented in the free program Mendel at http://www.genetics.ucla.edu/software/.

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