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. 2020 Oct 5;11:4995. doi: 10.1038/s41467-020-18819-5

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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. 4 — a Representative examples of variant allele frequency density plots for a high complexity tumour (left), intermediate complexity tumour (centre) and low complexity tumour (right). Variant allele frequency (VAF) clusters are shown and summarised within box plots above the density plot; boxes represent the 1st to 3rd quartile, with the median labelled as the central line, and whiskers extend to the data range from 1st and 3rd quartile +/−1.5 times the interquartile range. b Mutant-allele tumour heterogeneity (MATH) genomic complexity scores across all 112 endometrioid ovarian carcinoma (EnOC) cases, ranked high to low. c MATH genomic complexity scores across the three EnOC subtypes. Comparisons were made using the two-sided Mann–Whitney U-test without adjustment for multiple testing (P < 0.0001 and P = 0.0353). m mutant, wt wild-type.