Linear models in genomic studies

Linear models in which a dependent variable (expression of a disease trait) is related to a set of independent variables (for instance, SNPs) provide with a very versatile tool that can be used for the association analysis both for a single as well as multiple traits. To this end, we systematically discuss the sparse regression methodology of Ridge Regression, Lasso, and GFLasso with illustrations from published literature.