Supplementary Figure 6: GWAS summary simulations over diverse disease architectures.
From: Integrative approaches for large-scale transcriptome-wide association studies
Power to detect a genome-wide significant association is shown for three methods (GWAS; eGWAS computed from best eQTL, and TWAS computed from summary statistics) over different disease architectures. Colors represent number of causal variants in each simulated gene. Left/right panels correspond to simulations with causal variants hidden/shown. Top/bottom panels correspond to simulations with each gene explaining 0.001/0.0005 of trait variance. x-axis shows simulations at increasing GWAS sample sizes (with expression panel fixed at 1,000 samples).
