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Updated: May 24, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
LASSO model selection with post-processing for a genome-wide association study data set
Allan J Motyer1, Chris McKendry, Sally Galbraith
1Prince of Wales Clinical School, University of New South Wales, New South Wales 2052, Australia. a.motyer@unsw.edu.au.
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.

