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. 2022 Jun 29;13:3750. doi: 10.1038/s41467-022-31430-0

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© The Author(s) 2022

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. 1 — a Oncoprint of point mutations and small indels for significantly mutated genes in 511 cases of relapsed and refractory multiple myeloma (RRMM) from the MMRF Molecular Profiling Initiative. The panel of significant genes was derived from an ensemble approach for statistical testing (Methods). Classes of alterations are indicated in the legend. The upper histogram represents the mutation rate (number of point mutations per megabase) per case. APOBEC and non-APOBEC hypermutated cases are indicated. The right histogram represents the number of patients with an indicated mutation in the cohort, with percentages provided on the left. b Consensus plot for arm-level (lower panel) and focal copy-number alterations (upper panel). Gains are shown in red and losses in blue. Relevant genes in the recurrent gain or loss regions are indicated. The q-values were calculated by GISTIC2.0. Horizontal dashed green lines correspond to q value = 0.05.