Open AccessAssociation screening of common and rare genetic variants by penalized regression
Author(s) -
Hua Zhou,
Mary E. Sehl,
Janet S. Sinsheimer,
Kenneth Lange
Publication year - 2010
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btq448
Subject(s) - regression , association (psychology) , genetic association , computational biology , regression analysis , genetic variants , genetics , computer science , biology , statistics , single nucleotide polymorphism , machine learning , genotype , mathematics , psychology , gene , psychotherapist
This article extends our recent research on penalized estimation methods in genome-wide association studies to the realm of rare variants.
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