Article
Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies.
Statistical applications in genetics and molecular biology - 1 Jun 2015
Li Yun, O'Connor George T, Dupuis Josée, Kolaczyk Eric
Abstract excerpt
In genome-wide association studies (GWAS), it is of interest to identify genetic variants associated with phenotypes. For a given phenotype, the associated genetic variants are usually a sparse subset of all possible variants. Traditional Lasso-type estimation methods can therefore be used to detect important genes. But the relationship between genotypes at one variant and a phenotype may be influenced by other...
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