Extended Data Fig. 6: Structural variant burden associated genomic features.

a) Volcano plot representing the cancer type-specific regression coefficients (x-axis) and significance (y-axis, measured by the linear regression model coefficient p-value) of clinical and genomic features against the number of small deletions. Each dot represents one feature in one cancer type. Labels are coloured according to the feature category. Dots are coloured by the frequency enrichment in metastatic (purple) or primary (orange) patients. Analogous panels are displayed for b) large deletions, c) short duplications, d) large duplications, e) short complex SVs, f) large complex SVs and g) LINEs. h) Lollipop plots representing the regression coefficients (left, relative to panel b. x-axis) and metastatic enrichment (right, relative to dots colour from panel b.) of features associated with small deletions. Only significant features (LM>0.0, LM coefficient p-value < 0.01 and with independent significance in primary or metastatic tumors) enriched in metastatic tumor patients (enrichment > 0.0) are displayed. i), j) and k) are identical but referring to large deletions, small duplications and large duplications, respectively. LM, linear model. Coef, coefficient.