Association screening of common and rare genetic variants by penalized regression

作者：Zhou Hua^*; Sehl Mary E; Sinsheimer Janet S; Lange Kenneth

来源：Bioinformatics, 2010, 26(19): 2375-2382.

DOI：10.1093/bioinformatics/btq448

Motivation: This article extends our recent research on penalized estimation methods in genome-wide association studies to the realm of rare variants.
Results: 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.

• 出版日期2010-10