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. 2022 Jun 9;6:36. doi: 10.1038/s41698-022-00276-6

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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. 6 — a Correlation of HRDsum between WES and SNP array data. Each tumor is colored according to the HRR gene mutation class H1-H3. Linear fit with intercept fixed at zero. R = Pearson correlation. b/c Analysis of the influence of tumor purity on determination of HRDsum by WES. In silico dilution series including 10%, …, 100% reads from the tumor DNA samples and 90%, …, 0% of the reads from the normal DNA samples. b HRDsum scores of the diluted samples expressed as percentages of the corresponding undiluted samples. Box-plot elements show the 5%, 25%, 50%, 75% and 95% quantile of the distribution of HRD scores. c Comparison between HRDsum scores of WES and SNP arrays by Pearson correlations and by fitting linear models without intercepts fixed at zero. Pearson correlations and slopes are shown including 95% confidence intervals.