Additional file 1 of Epigenomic signature of major congenital heart defects in newborns with Down syndrome

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Additional file 1: Table S1. Study characteristics: description of sample traits included in study. Table S2. Sample traits: values of traits for each sample. Table S3. Welch’s t test for differences in sample traits in DS-CHD versus DS non-CHD samples. Table S4. Pearson correlation coefficients and p values (unadjusted and adjusted) for sample traits. Table S5. EPIC array beta values. Table S6. Logistic regression for CHD and linear regression for global methylation. Table S7. Annotated Sex Combined DMRs (adjusted for sex, age of blood collection, cell types). Table S8. Annotated Females Only DMRs (adjusted for age of blood collection, cell types). Table S9. Annotated Males Only DMRs (adjusted for age of blood collection, cell types). Table S10. Annotated Males Only DMRs (adjusted for age of blood collection, cell types) Sensitivity Analysis (5 samples with nRBC > 20% removed). Table S11. Machine Learning DMRs. Table S12. Smoothed methylation of Sex-combined DMRs in replication dataset. Table S13. Smoothed methylation of Females Only DMRs in replication dataset. Table S14. Smoothed methylation of Males Only DMRs in replication dataset. Table S15. Stats from permutation testing of DMR overlaps from Sex Combined, Females Only, and Males Only comparisons. Table S16. Chromosome location enrichments of Sex Combined, Females Only, and Males Only DMRs. Table S17. CpG and Genic enrichments for Sex Combined, Females Only, and Males Only comparisons. Table S18. GREAT gene ontology enrichments for Sex-Combined DMRs compared to background regions. Table S19. GREAT gene ontology enrichments for Females Only DMRs compared to background regions. Table S20. GREAT gene ontology enrichments for Males Only DMRs compared to background regions. Table S21. Smoothed methylation of Sex-combined DMRs in DSvTD dataset. Table S22. Smoothed methylation of Females Only DMRs in DSvTD dataset. Table S23. Smoothed methylation of Males Only DMRs in DSvTD dataset.

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