title: Association screening of common and rare genetic variants by penalized regression.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  Rare variant discovery by group penalized regression is now implemented in the free program Mendel at http://www.genetics.ucla.edu/software/.
authors.affiliation: Department of Statistics, North Carolina State University, Raleigh, NC 27695-8203, USA. huazhou@ucla.edu
authors.forename: Hua
authors.initials: H
authors.lastname: Zhou
authors.forename: Mary E
authors.initials: ME
authors.lastname: Sehl
authors.forename: Janet S
authors.initials: JS
authors.lastname: Sinsheimer
authors.forename: Kenneth
authors.initials: K
authors.lastname: Lange
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics*; D016208:Databases, Factual; D005260:Female; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D012044:Regression Analysis