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. 2019 Jul 17;9:10381. doi: 10.1038/s41598-019-46897-z

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© The Author(s) 2019

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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Comparison of chromosomal distributions of missense mutations in various datasets to the human genome. The left panels (blue) represent mutations in the human genome (18,864 genes), and the right panels (orange) represent mutations in various protein or gene datasets. Comparisons to the human genome are provided for: (a–c) an aggregate list of 9,046 genes coding for proteins detected in the proteome profile of MCF7, MCF10 and SKBR3 cells; (d–f) the list of 980 genes in the OncoKB database³³; (g–i) the list of 137 oncogenes and tumor suppressors proposed in ref.¹. (j–l) the list of 194 mutated proteins detected in SKBR3 and MCF7 cells. The 1^st column of histograms represents the % distribution of genes or proteins per chromosome in the human genome and in the various datasets; the 2^nd column represents the % distribution of missense mutations per chromosome in the human genome and in various datasets; the 3^rd column represents the distribution of the total number of mutations per gene or protein and per chromosome. The numbers of genes or proteins for each dataset are provided for each panel, and the 2^nd column provides the total mutation counts per dataset, as well. All mutation counts represent the catalogued values for the existing genes in the mutation database that was used in this study.