get_Nalls2019: Example GWAS summary statistics: Nalls2019

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

Example GWAS summary statistics: Nalls2019

Description

Downsampled GWAS summary statistics from Nalls et al. 2019 Parkinson's Disease GWAS (without 23andMe data).

Usage

get_Nalls2019()

Source

Nalls et al. 2019, The Lancet Neurology

path <- echodata::example_fullSS() Nalls2019 <- data.table::fread(path) # meta <- MungeSumstats::find_sumstats(ids = "ieu_b_7") # Nalls2019 <- MungeSumstats::import_sumstats(ids = meta$id[1]) path <- file.path("/Volumes/bms20/projects/neurogenomics-lab/live", "GWAS_sumstats/OpenGWAS/ieu-b-7.tsv.gz") #### piggyback #### tmp <- file.path(tempdir(),"Nalls2019.tsv.gz") data.table::fwrite(Nalls2019,tmp,sep="\t") piggyback::pb_upload(file = tmp, repo = "RajLabMSSM/echodata")

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