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. 2022 Jan 7;23:13. doi: 10.1186/s13059-021-02560-3

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Relationship between enriched GWAS phenotypes for different epigenomic marks from consolidated Roadmap Epigenomics consortium data: heatmap showing the number of tissue-specific enriched phenotypes (q value < 0.01, BH correction) for FORGE2 analysis across the GWAS catalogue for DNase I hotspots, histone mark broadPeaks and HMM chromatin states. Epigenomic mark categories are clustered using complete linkage clustering (Euclidean distance), across rows and columns. Clustering reveals 5 main groups of epigenomic marks, coloured in purple (group 1), dark blue (group 2), green (group 3), yellow (group 4), and light blue (group 5). A zoomable version of this figure can be found at: https://www.easyzoom.com/imageaccess/4e114698194f492faa1d6812d325cd30