RGN and atherosclerosis: Therefore, here we employed a weighted gene co‐expression network analysis (WGCNA) on the transcriptomic database of the Stockholm Atherosclerosis Gene Expression (STAGE) patient cohort[4] to identify biologically relevant gene clusters (modules) that significantly correlate with AIP and the other key atherosclerosis‐associated RGN driver genes (DRAP1, POLR21, and PQBP1).