1.
BMC Proc
; 5 Suppl 9: S24, 2011 Nov 29.
Article
in English
| MEDLINE
| ID: mdl-22373266
ABSTRACT
Model selection procedures for simultaneous analysis of all single-nucleotide polymorphisms in genome-wide association studies are most suitable for making full use of the data for a complex disease study. In this paper we consider a penalized regression using the LASSO procedure and show that post-processing of the penalized-regression results with subsequent stepwise selection may lead to improved identification of causal single-nucleotide polymorphisms.