#' Example GWAS: raw (pre-munged)
#'
#' Write example GWAS summary statistics to disk.
#'
#' @param timeout How many seconds to wait before timeout.
#' @param verbose Print messages.
#' @inheritParams get_data
#'
#' @return Path to sumstats
#'
#' @keywords internal
#' @importFrom utils download.file
#' @importFrom R.utils gunzip
#' @importFrom tools R_user_dir
get_example_gwas_raw <- function(storage_dir = tools::R_user_dir(
package = "MAGMA.Celltyping",
which = "cache"
),
trait = c(
"prospective_memory",
"fluid_intelligence"
),
timeout = 60 * 5,
verbose = TRUE) {
#### Check trait ####
trait <- tolower(trait)[1]
if (trait == "prospective_memory") {
URL <- paste(
"https://www.dropbox.com/s/j6mde051pl8k8vu",
"20018.gwas.imputed_v3.both_sexes.tsv.bgz?dl=1",
sep = "/"
)
study_name <- "20018.gwas.imputed_v3.both_sexes.tsv"
} else if (trait == "fluid_intelligence") {
URL <- paste(
"https://www.dropbox.com/s/t3lrfj1id8133sx",
"20016_irnt.gwas.imputed_v3.both_sexes.tsv.bgz?dl=1",
sep="/"
)
study_name <- "20016_irnt.gwas.imputed_v3.both_sexes.tsv"
} else {
stop("trait must be 'prospective_memory' or 'fluid_intelligence'")
}
gwas_sumstats_path <- file.path(storage_dir, basename(URL))
unzipped_path <- gsub(".bgz|.gz|[?]|dl=1", "", gwas_sumstats_path)
if (file.exists(unzipped_path)) {
messager("Importing pe-existing file.",v=verbose)
} else {
messager("Downloading example GWAS:", trait,v=verbose)
options(timeout = timeout)
utils::download.file(
url = URL,
destfile = gwas_sumstats_path
)
messager("Unzipping example GWAS.",v=verbose)
R.utils::gunzip(
gwas_sumstats_path,
unzipped_path
)
}
messager("File saved at:", unzipped_path,v=verbose)
return(unzipped_path)
}
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