Fig. 6: Subcluster–disease associations via GWASs and DEG correlations with insulin resistance and hyperandrogenemia.
From: Single-cell profiling of the human endometrium in polycystic ovary syndrome
a, CELLECT analysis of the association between cell types in human endometrial snRNA-seq data (PCOS + controls) with GWASs. The red dashed line outlines the −log10(transformed) Bonferroni’s adjusted P = 0.05. The colors of the bars indicate the subclusters listed in the legend. Fasting insulin, 2-h glucose, T2D and WHR were BMI adjusted. Subclusters with a higher adjusted −log10(P) than the red dashed line indicate significant enrichment. b, A magnification of GWASs and subclusters identified as significantly enriched by CELLECT analysis. The exact adjusted P values (a and b) can be found in Supplementary Table 5b. c, Spearman’s correlation of averaged gene expression of DEGs per subcluster. CNTNT1 is negatively correlated with HOMA-IR in epithelial and stromal subpopulations. d, NRCAM1 negatively correlated with HOMA-IR in epithelial subpopulations. e,f, CD44 (e) and ITGA6 (f) positively correlated with HOMA-IR in stromal subpopulations. g, CNTNT1 negatively correlated with androstenedione in stromal subpopulations. h, ROBO2 negatively correlated with androstenedione in epithelial subpopulations. i,j, ESR1 (i) and COL1A2 (j) negatively correlated with androstenedione in stromal subpopulations. k, IGFR1 positively correlated with androstenedione in stromal subpopulations. See ‘Statistical analyses’ for a detailed description of Spearman’s correlations. RS, Spearman’s rank correlation.
