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Fig. 5 | Genome Biology

Fig. 5

From: Modeling double strand break susceptibility to interrogate structural variation in cancer

Fig. 5

Regions enriched for cancer SV breakpoints (ESBs) display a significant increase in DSB frequency across cancer types. ac The regions with ICGC SV breakpoint frequencies in the top 5% are shown with their predicted DSB values as violin plots for each of the three cell type models: NHEK, K562, and MCF7. ICGC cohorts are shown all together (pancancer) and split into three cancer categories: carcinoma, blood, and breast cancers (see the “Methods” section). df ICGC SV breakpoint counts separated by SV type, and the top 5% of ESBs are shown with their predicted DSB values as violin plots. The numbers following the x-axis labels are SV breakpoint count cutoffs for the top 5% ESBs, and the numbers in parenthesis are the number of 50 kb regions that meet the cutoff. For example, there are 225 50 kb regions with more than two SV breakpoints in blood cancers. Stars indicate significantly higher values in DSB predictions for the ESBs relative to non-ESBs for each category, as determined by a Wilcox ranked sum test (* for p ≤ 0.05, ** for p ≤ 0.01, *** for p ≤ 1e−3, and **** for p ≤ 1e−4)

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