Fig. 3: Power to detect overlap between genes and genesets identified by corresponding GWAS and EWAS.
From: A comparison of the genes and genesets identified by GWAS and EWAS of fifteen complex traits
Simulations were set up as illustrated in Box 1 and simulations iterated over each set of parameters 1000 times. EWAS power is equivalent to the proportion of associated genes (Assoc genes) EWAS is detecting. In the scenario where Assoc genes = 500, EWAS power = 1, and the proportion of causal EWAS genes = 0.05, the EWAS is detecting 500 genes, 25 of which are causal. Panel A show results when the proportion of causal EWAS genes = 0.05 and panel B show results when the proportion of causal EWAS genes = 1. The area under receiver operator curves (AUC) was used to estimate the ability to distinguish between results generated when GWAS and EWAS were sampling, in part, from the same set of causal genes and results generated when EWAS was sampling random genes from the genome. Error bars represent the 95% confidence intervals of the AUC estimates. The header of each set indicates the proportion of genes identified by the simulated EWAS that were set to be causal. ORg = assessing overlap of genes, ORp = assessing overlap of genesets, ρp = assessing correlation between geneset enrichment scores. GO gene ontology, PPI protein–protein interaction database from EpiGraphDB. This is a summary of the results, full results can be found in Supplementary Fig. 3.
