Additional file 1: of Imprint of parity and age at first pregnancy on the genomic landscape of subsequent breast cancer

Table S1. Systematic multivariate analysis of mutational load comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S2. Systematic multivariate analysis of breast cancer driver SNVs comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S3. Systematic multivariate analysis of breast cancer driver SCNAs comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S4. Clinicopathological features of nulliparous and parous patients included in the RNAseq analysis. Table S5. Differential expression analysis between nulliparous and parous patients using DEseq2 on raw counts data and controlling for age at diagnosis, pathological stage, molecular subtypes by IHC, histological subtypes. Table S6. Pathway analysis using the generally applicable gene-set enrichment (GAGE) method to identify significantly enriched pathways between nulliparous and parous patients. Table S7. Differential expression analysis between early and late parous patients using DEseq2 on raw counts data and controlling for age at diagnosis, pathological stage, molecular subtypes by IHC, histological subtypes. Table S8. Pathway analysis using the generally applicable gene-set enrichment (GAGE) method to identify significantly enriched pathways between early and late parous patients. Table S9. Systematic multivariate analysis of TILs levels comparing nulliparous vs. parous, early parous vs. late parous and PABC vs. nulliparous patients. Table S10. Clinicopathological features of nulliparous and PABC patients. Table S11. Pathway analysis using the generally applicable gene-set enrichment (GAGE) method to identify significantly enriched pathways between nulliparous and PABC patients. (XLSX 366 kb)