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Fig. 4 | Genome Medicine

Fig. 4

From: Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases

Fig. 4

Hierarchical clustering of projected diseases significantly different from control (FDR < 1%) or of small sample size. Coloured labels are used to distinguish UKBB (grey) and other GWAS (green) datasets. Heatmaps indicate delta values for each disease on each component PC1–PC13, with grey indicating 0 (no difference from control), and darker shades of blue or magenta showing departure from controls in one direction or the other. An overlaid “*” indicates delta was significantly non-zero (FDR < 1%). Roman numerals indicate clusters described in the text. ANCA−, anti-neutrophil cytoplasmic antibody negative; Ank. Spond, ankylosing spondylitis; EGPA, eosinophilic granulomatosis with polyangiitis; EO, extended oligo; ERA, juvenile enthesitis-related arthritis; IgGPos, IgG positive; JIA, juvenile idiopathic arthritis; MPO+, myeloperoxidase positive; NMO, neuromyelitis optica; PO, persistent oligo; PR3+, proteinase 3 positive; PsA, psoriatic arthritis; RF+/−, polyarticular rheumatoid factor positive/negative; SLE, systemic lupus erythematosus; UC, ulcerative colitis

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