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. Author manuscript; available in PMC: 2023 Oct 26.
Published in final edited form as: Nat Genet. 2023 Sep 28;55(10):1651–1664. doi: 10.1038/s41588-023-01518-4

Figure 2 |. Prioritization of CAC causal genes using STARNET eQTLs.

Figure 2 |

a,b, Summary-based Mendelian Randomization (SMR) to identify causal CAC genes using subclinical atherosclerotic mammary artery (MAM, a) and atherosclerotic aortic root (AOR, b) tissue cis-eQTLs in STARNET. Dashed black and red lines indicate SMR P-value significance thresholds for tested CAC and CAD candidate genes, respectively. Teal green dots represent significant genes for both CAC and CAD, while blue dots represent those only significant for CAC. SMR P-value determined by approximate chi-square test statistic for mediating effect of gene expression on CAC or CAD. c,d, Coloc-based colocalization analysis of CAC and CAD candidate genes using STARNET MAM (c) and AOR (d) cis-eQTLs. Dashed black lines indicate high colocalization (PP4 > 0.8) and dashed red lines indicate low colocalization (PP4 < 0.5) thresholds, respectively. Teal green dots represent high colocalized genes (PP4 > 0.8) for both CAC and CAD, whereas blue dots represent those highly colocalized for CAC (PP4 > 0.8) but not CAD (PP4 < 0.5).