Fig. 1From: Adaptive Fisher method detects dense and sparse signals in association analysis of SNV setsPower curves for binary trait. Comparison of empirical powers for binary trait. a Power against varying number of loci K in the dense scenario with effect proportion π=20% and effect size δ=0.2. K∈{50,100,...,450,500}. b Power against varying number of loci K in the sparse scenario with effect proportion π=2% and effect size δ=1. K∈{50,100,...,450,500}Back to article page