We investigated two sets of prioritised genes in silico: (1) conditionally independent associations (TWAS/PWAS/spliceWAS) from marginally significant signals (FDR < 0.05) that are at least nominally jointly significant (p < 0.05), and (2) genes in the finemapped 90% credible set with PIP > 0.4 and the absence of the null model in the credible set. Firstly, we considered biological pathways and other ontological sets for which these two sets of genes could separately be overrepresented via the g:Profiler framework and the Benjamini-Hochberg method for multiple-testing correction (Reimand, Kull, Peterson, Hansen, & Vilo, 2007). We used the default background for gene-set enrichment (statistical domain size) in g:Profiler of only genes annotated to at one least domain out of the thousands of gene-sets considered.
