Of the three methods with properly calibrated rejection rates for the null simulations with baseline enrichment (GoShifter, fgwas, and stratified LD score regression), stratified LD score regression was the most powerful for the polygenic traits. For the less polygenic traits, stratified LD score regression had power similar to GoShifter for the cell-type group, and none of the three methods had any power for the single cell type with less polygenic genetic architecture.