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. 2023 Jun 3;15:95. doi: 10.1186/s13148-023-01511-y

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© The Author(s) 2023

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 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. 4 — Somatic mutational “oncoplot” showing differential mutational patterns by Consensus Clusters as defined by genome-wide DNA methylation. Somatic mutational profiles of 20 novel genes, including 3 genes associated with Consensus Cluster 3, 10 genes associated with Consensus Cluster 3 and 7 genes associated with Consensus Cluster 4 are shown. The samples are shown in vertical lines and ordered by CRC subgroup and their Consensus Clusters. The total mutational burden (TMB) shows the accumulative numbers of somatic mutations identified in each tumour sample. Individual tumour samples are further annotated by CRC subgroup, anatomical location, gender and CRC diagnosis age (years). The different types of somatic mutations are shown in different colours, and the compositional barplots illustrate the total loads of somatic mutations separated by the nucleotide changes