Sun, Ryan Hui, Shirley D. Bader, Gary Lin, Xihong Kraft, Peter GSA power simulation with unstructured signal configurations over different sparsity settings. <p>Simulated power with random sets of ten genes selected from 10,000 total genes. Causal SNPs are chosen at random from all SNPs in the set. The subfigures correspond to (A) 2, (B) 5, (C) 8, (D) 9, (E) 12, and (F) 15 signals. We perform 100 simulations at each parameter setting and test at <i>α</i> = 0.01. GBJ offers robust performance through very sparse, moderately sparse, and dense settings, while other tests show decreased power in certain scenarios.</p> GSA;Single Nucleotide Polymorphisms;breast cancer pathway analysis;SNP;Generalized Berk-Jones statistic;set-based testing settings;Genome-Wide Association Studies;GBJ step-down inference technique;FGFR;breast cancer GWAS;gene;summary statistics 2019-03-15
    https://plos.figshare.com/articles/figure/GSA_power_simulation_with_unstructured_signal_configurations_over_different_sparsity_settings_/7853168
10.1371/journal.pgen.1007530.g002