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. 2021 Sep 6;53(9):1290–1299. doi: 10.1038/s41588-021-00924-w

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 5 — Distribution of pairwise mash QTL sharing estimates for seven cell types and tissues (skin, adipose, LCL, blood, fibroblast, muscle, brain (DLPFC)) profiled in two or more studies (GTEx, TwinsUK, GENCORD, GEUVADIS, Lepik_2017, ROSMAP, FUSION). Each panel contrasts the QTL sharing estimates for the same cell type or tissue profiled in different studies (n = 18) against different cell types and tissues profiled in the same study (n = 30). Analysis was performed separately for gene expression (a-b), transcript usage (c), exon expression (d) and txrevise (e) QTLs. Note that adipose, skin and muscle tissues have high eQTL sharing also within the same study. The p-values were calculated using the two-sample Wilcoxon rank sum test (two-sided).