Preprocessed single-cell RNA-seq and donor data for MR-CCC: Bayesian Mendelian Randomization for Causal Cell-Cell Communication

Preprocessed data from the OneK1K cohort (Yazar et al., Science 2022) used in the MR-CCC analysis of causal cell-cell communication. B_T_NK_Monocytes.rda contains pseudo-bulk gene expression count matrices (genes × donors) for five cell types: B cells, CD4+ T cells, CD8+ T cells, NK cells, and monocytes. Each matrix was aggregated from single-cell counts per donor and library-size normalized. donor.rda contains donor-level metadata and genotype information, including: donor covariates (age, sex, ancestry principal components), a SNP genotype matrix (dosage-encoded), and GRanges objects for SNP and gene genomic coordinates used for cis-eQTL instrument construction. These files are intended for use with the MR-CCC analysis scripts available at: https://github.com/bitansa/MR-CCC Original OneK1K data: https://onek1k.org