Extended Data Fig. 5: Enrichment of sex-diversified subcluster genes in human GRNs.
135 tissue-specific GRNs inferred from genotype and bulk RNAseq data of two arterial wall (atherosclerotic aortic root, and the non- or early atherosclerosis mammary artery and four metabolic (liver, skeletal muscle, subcutaneous fat and visceral abdominal fat) tissues obtained from 600 CAD patients of the STARNET study were inferred using block-wise WCGNA and the GENIE3 algorithms, as described5. The enrichments of sex-diversified subcluster genes in the SMC-specific GRN82 and GRN49 shown in Fig. 5a. a) Pie charts showing the relative cell type specificity of genes in GRN82 (top), GRN49 (bottom) according to the scRNA seq data (Methods). Below the pie charts, abbreviations of GRN82 (top) and GRN 49 (bottom) GWAS CAD candidate genes. b) GRN82 (top) and GRN 49 (bottom) color-coded according to the cell type specificity. Bigger size nodes are key driver genes. c) Radar plot showing statistical significance of key cardiometabolic phenotypes associations with GRN82 (top) and GRN 49 (bottom). The significance of GRN-phenotype associations ( − log10; P = 0–100) was calculated by aggregating GRN gene-level phenotype associations (Pearson correlation two tailed t-test) corrected for the total number of STARNET GRNs (n = 135) and the number of genes in each GRN using the Benjamini-Hochberg procedure.
