get_Kunkle2019_coloc: Get colocalization results with Kunkle2019 GWAS

In RajLabMSSM/echodata: echoverse module: Fine-mapping data access and formatting

Get colocalization results with Kunkle2019 GWAS

Description

Get colocalization results computed by Lopes et al. 2022 between the Kunkle2019 Alzheimer's disease GWAS and microglia eQTL datasets.

Usage

get_Kunkle2019_coloc(return_path = FALSE)

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.

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")

Examples

coloc_res <- get_Kunkle2019_coloc()

RajLabMSSM/echodata documentation built on Nov. 21, 2023, 8 a.m.