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. 2020 Feb 19;11:955. doi: 10.1038/s41467-020-14561-0

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© The Author(s) 2020

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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Fig. 5 — a Bar plot showing the number of eGenes detected in each eQTL analysis from liver (shades of red) and skin (shades of blue). b–d Distributions of b number of GTEx tissues where each eGene has significant eQTLs, c effect size β, and d standard error of β in liver and skin. Colors are as in panel a. Vertical dashed lines represent mean values. p-values were calculated in comparison with the bulk resolution analysis for each tissue using Mann–Whitney U test. e–i Bar plots showing the number of eGenes significantly associated with each cell population considering cell estimates for: liver high resolution e, liver collapsed resolution f, liver low resolution g, skin high resolution h, and skin collapsed resolution i. Total number of eGenes for each cell type indicates the cell type is significantly associated and the hashed number of eGenes for each cell type indicates the association is cell-type-specific (e.g. only significant in that cell type). In cases where a given cell type had no significant association, the bar is not shown.