LASSO, Elastic Net and top SNPs37,40. A cross-validation for each of the desired models are performed; (3) Perform a final estimate of weights for each of the desired models and store results. The imputed unit is treated as a linear model of genotypes with weights based on the correlation between SNPs and expression in the training data while accounting for LD among SNPs. To account for multiple hypotheses, we applied an FDR < 0.05 within each expression and splicing reference panel that was used.
