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. Author manuscript; available in PMC: 2024 Feb 1.
Published in final edited form as: Nat Genet. 2023 Nov 30;55(12):2255–2268. doi: 10.1038/s41588-023-01586-6

Fig. 6 ∣. Dynamic HLA-DQ eQTLs in myeloid and B cells.

Fig. 6 ∣

a–c, Dynamic HLA-DQA1 eQTL (rs3104413) in myeloid cells (n = 69 individuals, m = 66,789 cells in synovium; n = 861, m = 40,568 in PBMC-blood). UMAP (a) of cells for tissue-defined embedding, colored by βtotal, from blue (weakest) to orange (strongest). Boxplot (b) showing the eQTL effect across individuals in the bottom and top quintiles of estimated βtotal. Labeled βNBME and P value are from fitting the NBME model without cell-state interaction terms on the cells from the discrete quintile and comparing to a null model without genotype using an LRT. Mean log2(UMI + 1) across cells per individual (y axis) by each genotype. Boxplot center line represents median, lower/upper box limits represent 25/75% quantiles, whiskers extend to box limit ± 1.5× interquartile range, and outlying points are plotted individually. Scatterplot (c) showing the mean estimated βtotal (y axis) compared to the mean log(CP10k + 1)-normalized expression of HLA-DQA1 (x axis) across annotated cell states (color). d–f, Dynamic HLA-DQA1 eQTL in B cells (n = 65 individuals, m = 25,917 cells in synovium; n = 909 individuals, m = 80,784 in PBMC-blood). d–f are analogous to a–c, respectively. LRT, likelihood ratio test (one-sided).