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Complex quantitative traits are influenced by many factors including the main effects of many quantitative trait loci (QTLs), the epistatic effects involving more than one QTLs, environmental effects and the effects of gene-environment interactions. We recently developed an empirical Bayesian Lasso (EBlasso) method that employs a high-dimensional sparse regression model to infer the QTL effects from...
Pathway‐based genome‐wide association studies (GWAS) can exploit collective effects of causal variants in a pathway to increase power of detection. However, current methods for pathway‐based GWAS do not consider epistatic effects of genetic variants, although interactions between genetic variants may play an important role in influencing complex traits. In this paper, we employed a Bayesian Lasso...
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