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. 2021 Apr 20;12:2345. doi: 10.1038/s41467-021-22560-y

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© The Author(s) 2021

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 Association between age and pan-cancer GI score. Dots are coloured by cancer type. Multiple linear regression R-squared and p value are shown in the figure. Multiple-hypothesis testing correction was not performed (single test). b Association between age and cancer type-specific GI score. Linear regression coefficients and significant values are shown in the figure. Multiple-hypothesis testing correction was done using Benjamini–Hochberg procedure. Cancers with a significant positive association between age and GI score after using multiple linear regression (adj. p value < 0.05) are highlighted in red. Cancers with a significant association in simple linear regression but not significant after using multiple linear regression are showed in black. The grey line indicates adj. p value = 0.05. Dot size is proportional to median GI score. c Association between age and pan-cancer percent genomic LOH. Dots are coloured by cancer type. Multiple linear regression R-squared and p value are shown in the figure. Multiple-hypothesis testing correction was not performed (single test). d Association between age and cancer type-specific percent genomic LOH. Linear regression coefficients and significant values are shown in the figure. Multiple-hypothesis testing correction was done using Benjamini–Hochberg procedure. Cancers with a significant positive and negative association between age and percent genomic LOH after using multiple linear regression are highlighted in red and blue, respectively. Cancer with a significant association in simple linear regression but not significant after using multiple linear regression is showed in black. The grey line indicates adj. p value = 0.05. Dot size is proportional to median percent genomic LOH. e Association between age and WGD events in pan-cancer (FALSE n = 5313, TRUE n = 4365 samples), OV (FALSE n = 207, TRUE n = 349 samples), and UCEC (FALSE n = 294, TRUE n = 140 samples). Multiple logistic regression p values were indicated in the figure. Multiple-hypothesis testing correction was done using Benjamini–Hochberg procedure. The middle bar of the boxplot is the median. The box represents interquartile range (IQR), 25th to 75th percentile. Whiskers represent a distance of 1.5 × IQR. TCGA cancer type acronyms and their associated name are provided in Table 1.