Integrative multi-ancestry genetic analysis of gene regulation in coronary arteries prioritizes disease risk loci

All full-sample files contain results generated in coronary artery tissue from 138 American adults. Subset analyses utilized 80 individuals selected from the original 138. Scripts accompanying some of these data in downstream analyses can be viewed on our Github, which also contains a link to the current version of our accompanying manuscript: https://github.com/MillerLab-CPHG/CAD_QTL Full summary statistics for eQTL associations using mixQTL (https://github.com/hakyimlab/mixqtl/wiki) by chromosome are located in UVA_coronary_mixQTL_sumstats_by_chromosome.zip Full summary statistics for eQTL associations using mixQTL in the subset of 100% European-ancestry study sample members by chromosome are located in Hodonsky_mixQTL_Euro_sumstats.zip Full summary statistics for eQTL associations using mixQTL in the genetically diverse downsampled subset by chromosome are located in Hodonsky_mixQTL_downsample_sumstats.zip Full summary statistics for nominal pass for all genes identified as significant in the permutation pass using QTLtools (https://qtltools.github.io/qtltools/) adjusting for local ancestry by gene by chromosome are located in Local_ancestry_UVA_coronary_QTLtools_nominal_sumstats.zip Full summary statistics for sQTL associations with splice junctions using QTLtools by gene are located in sQTL_results_UVA_coronary_full_sumstats.zip