Variant-level results for all pooled CRISPR screens for endothelial cell readouts. nr_sgRNA, number of sgRNAs that targeted the variant/gene; Beta, SE, zscore, pvalue and false discovery rate (FDR) are statistics generated by MAGECK; FACS_phenotype, cellular readouts.

The Beta corresponds to the effect when comparing sgRNA normalized counts between the top and the bottom 10% FACS fractions. For each variant, we provide the Variant Effect Predictor’s most severe annotation. We also annotated variant if they map (1 = overlap) to ATAC-seq peaks in resting teloHAEC (NT) or teloHAEC stimulated for 4h or 24h with TNFalpha. The ATAC-seq data is from Lalonde et al., Genome Biology, 2019. We also used chromatin states predictions from endothelial cells from the EpiMap Project to annotate all tested variants (Boix et al., Nature, 2021). The definition of each EpiMap cell type and chromatin state can be found at: https://personal.broadinstitute.org/cboix/epimap/metadata/Short_Metadata.html and https://www.nature.com/articles/s41586-020-03145-z/figures/7. We used the following chromatin states to define enhancers: EnhG1, EnhG2, EnhA1, EnhA2, EnhWk. Although we present results for all SNPs tested in our screens, our donwstream analyses only considered SNPs with FDR<10% that were tested with at least 2 high-quality sgRNAs. (XLSX)