Extended Data Fig. 6: Shared genetic components and eRegulons across five autoimmune diseases. | Nature Aging

Extended Data Fig. 6: Shared genetic components and eRegulons across five autoimmune diseases.

From: Integrating polygenic signals and single-cell multiomics identifies cell-type-specific regulomes critical for immune- and aging-related diseases

Extended Data Fig. 6

a. Genetic correlation among five autoimmune diseases (IBD, PBC, RA, SLE, and UC), computed using cross-trait LD score regression. Circle size and color intensity represent the strength of genetic correlation. Asterisks denote statistically significant genetic correlations (* P < 0.05, ** P < 0.01, *** P < 0.001). b. Pairwise overlap of GWAS risk loci among five autoimmune diseases, based on genome-wide significant SNPs. c. Pairwise overlap of OpenTargets-prioritized risk genes among five autoimmune diseases based on GWAS associations. d. Pairwise overlap of significant scMORE-prioritized eRegulons (cell type-specific regulatory program enriched for GWAS risk loci) across five autoimmune diseases. Notably, UC and IBD, which show strong genetic correlation and GWAS locus overlap, also exhibit high eRegulon overlap, indicating shared transcriptional regulatory mechanisms.

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