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. 2020 Aug 3;3:421. doi: 10.1038/s42003-020-01119-5

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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. 2 — a A schematic representation of the Hidden Markov Model used to identify mutagenesis-related epigenomic (MRE) states integrating genomic, epigenomic, and cellular process features relevant for mutagenesis and DNA repair. b Enrichment score of the features for the MRE states in a 20-state model. Descriptions of the MRE states are provided in Supplementary Data 1. Enrichment values of exon for E9–10 and 14–16 are >9. Contrast is saturated for values >3.5. c Relationship between MRE states from the 10, 20, and 30 state models. d Annotation of chromosome 21:27–30 Mb regions using 10, 20, and 30 state models and UCSC Genes are shown in breast epithelial cell type. Genomic coordinates of the MRE annotations from the 20-state model are provided in Supplementary Fig. 2 and Supplementary Data 3. e Relationship between MRE states and ChromHMM chromatin states. f Boxplot showing distributions of weight of SBS8 in different MRE contexts for multiple cancer types. See Supplementary Data 1 for description of the cancer cohorts including the number of samples.