Get colocalization results with Kunkle2019 GWAS

Get colocalization results computed by Lopes et al. 2022 (doi:10.1038/s41588-021-00976-y ) between the Kunkle2019 Alzheimer's disease GWAS (doi:10.1038/s41588-019-0358-2 ) and microglia eQTL datasets.

Usage

get_Kunkle2019_coloc(return_path = FALSE)

Source

URL <- paste( "https://github.com/RajLabMSSM", "Fine_Mapping_Shiny/raw/master/www", "Microglia_all_regions_Kunkle_2019_COLOC.snp-level_select.tsv.gz", sep="/") tmp <- file.path(tempdir(), basename(URL)) utils::download.file(URL, tmp) piggyback::pb_upload(file = tmp, repo = "RajLabMSSM/echodata")

Arguments

return_path

If TRUE, return a named list containing both the imported data and the path where it has been saved. Default: FALSE.

Value

data.table.

Examples

coloc_res <- get_Kunkle2019_coloc()