Run PLINK missingness rate calculation

Source: R/individualQC.R

Run plink --missing to calculate missing genotype rates per individual.

run_check_missingness(
  indir,
  name,
  qcdir = indir,
  verbose = FALSE,
  path2plink = NULL,
  keep_individuals = NULL,
  remove_individuals = NULL,
  exclude_markers = NULL,
  extract_markers = NULL,
  showPlinkOutput = TRUE
)

Arguments

indir

[character] /path/to/directory containing the basic PLINK data files name.bim, name.bed, name.fam files.
name

[character] Prefix of PLINK files, i.e. name.bed, name.bim, name.fam.
qcdir

[character] /path/to/directory to save name.imiss as returned by plink --missing. User needs writing permission to qcdir. Per default qcdir=indir.
verbose

[logical] If TRUE, progress info is printed to standard out.
path2plink

[character] Absolute path to PLINK executable (https://www.cog-genomics.org/plink/1.9/) i.e. plink should be accessible as path2plink -h. The full name of the executable should be specified: for windows OS, this means path/plink.exe, for unix platforms this is path/plink. If not provided, assumed that PATH set-up works and PLINK will be found by exec('plink').
keep_individuals

[character] Path to file with individuals to be retained in the analysis. The file has to be a space/tab-delimited text file with family IDs in the first column and within-family IDs in the second column. All samples not listed in this file will be removed from the current analysis. See https://www.cog-genomics.org/plink/1.9/filter#indiv. Default: NULL, i.e. no filtering on individuals.
remove_individuals

[character] Path to file with individuals to be removed from the analysis. The file has to be a space/tab-delimited text file with family IDs in the first column and within-family IDs in the second column. All samples listed in this file will be removed from the current analysis. See https://www.cog-genomics.org/plink/1.9/filter#indiv. Default: NULL, i.e. no filtering on individuals.
exclude_markers

[character] Path to file with makers to be removed from the analysis. The file has to be a text file with a list of variant IDs (usually one per line, but it's okay for them to just be separated by spaces). All listed variants will be removed from the current analysis. See https://www.cog-genomics.org/plink/1.9/filter#snp. Default: NULL, i.e. no filtering on markers.
extract_markers

[character] Path to file with makers to be included in the analysis. The file has to be a text file with a list of variant IDs (usually one per line, but it's okay for them to just be separated by spaces). All unlisted variants will be removed from the current analysis. See https://www.cog-genomics.org/plink/1.9/filter#snp. Default: NULL, i.e. no filtering on markers.
showPlinkOutput

[logical] If TRUE, plink log and error messages are printed to standard out.

Details

All, run_check_heterozygosity, run_check_missingness and their evaluation by evaluate_check_het_and_miss can simply be invoked by check_het_and_miss.

Examples

indir <- system.file("extdata", package="plinkQC")
name <- 'data'
qcdir <- tempdir()
path2plink <- '/path/to/plink'
# the following code is not run on package build, as the path2plink on the
# user system is not known.
if (FALSE) {
# missingness check on all individuals in dataset
run <- run_check_missingness(indir=indir, qcdir=qcdir, name=name,
path2plink=path2plink)

# missingness on subset of dataset
remove_individuals_file <- system.file("extdata", "remove_individuals",
package="plinkQC")
run <- run_check_missingness(indir=indir, qcdir=qcdir, name=name,
remove_individuals=remove_individuals_file, path2plink=path2plink)
}