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Get colocalization results computed by Schilder et al. 2022 (doi:10.1093/hmg/ddab294 ) between the Nalls2019 Parkinson's disease GWAS (doi:10.1016/S1474-4422(19)30320-5 ) and all eQTL datasets in the eQTL Catalogue.

Usage

get_Nalls2019_coloc()

Source

URL <- paste("https://github.com/RajLabMSSM/Fine_Mapping_Shiny/raw", "master/www/data/GWAS/Nalls23andMe_2019/_genome_wide/COLOC", "coloc.eQTL_Catalogue_ALL.csv.gz", sep="/") tmp <- file.path(tempdir(), basename(URL)) utils::download.file(URL, tmp) piggyback::pb_upload(file = tmp, repo = "RajLabMSSM/echodata")

Examples

coloc_res <- get_Nalls2019_coloc()