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. 2023 Oct 26;15:171. doi: 10.1186/s13148-023-01580-z

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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. 6 — Coefficient plots for multivariable analysis of mutations (A) and chromosomal aberrations (B). A Coefficient plot for contained mutations, age and gender in comparison to the 12-CpG-signature. B Coefficient plot for karyotypes, age and gender in comparison to the 12-CpG-signature. Plots include the 95%-confidence interval for each predictor. Values in respective tables are the results from multiple logistic regression modelling. A model containing both mutational and cytogenetic variables could not be fitted because the sample size was too small to estimate all model parameters with sufficient confidence. Due to very small samples sizes for the del(5q)/-5 and t(11q23) groups (n = 2 each), both groups were combined with the group „other “ (n = 11) for the multivariable analysis. Karyotype merged comprises “del(5q)/-5 “, “t(11q23)“, “other “