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. 2021 Jan 20;66(6):625–636. doi: 10.1038/s10038-020-00895-6

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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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Fig. 2 — Tissue-specific association of cortisol-related SNPs with gene expression in STARNET. a LocusZoom plot showing genomic loci of given SNPs against measure of significance (−log10 (p value)) for an eQTL analysis in liver for all SNPs within 100 Kb of SERPINA6. Squares represent the 21 significant cis-eQTLs (q ≤ 0.05) that are also at genome-wide significance in CORNET (p ≤ 5 × 10⁻⁸). b Genotypic effect of representative SNP for LD block 2 (rs2736898) on SERPINA6 gene expression in liver. c Global tissue-specific effects on gene expression for rs2736898 represented as Q–Q plots for genes in liver, subcutaneous fat and visceral abdominal fat describing observed p values vs. those expected by chance. Deviation from expected uniform distribution described by Kolmogorov–Smirnov test p value (Ks-test)