Quality Control based on KING-robust kinship estimator. More information can be found at http://www.cog-genomics.org/plink/2.0/distance#king_cutoff.

snp_plinkKINGQC(
  plink2.path,
  bedfile.in,
  bedfile.out = NULL,
  thr.king = 2^-3.5,
  make.bed = TRUE,
  ncores = 1,
  extra.options = "",
  verbose = TRUE
)

Arguments

plink2.path

Path to the executable of PLINK 2.

bedfile.in

Path to the input bedfile.

bedfile.out

Path to the output bedfile. Default is created by appending "_norel" to prefix.in (bedfile.in without extension).

thr.king

Note that KING kinship coefficients are scaled such that duplicate samples have kinship 0.5, not 1. First-degree relations (parent-child, full siblings) correspond to ~0.25, second-degree relations correspond to ~0.125, etc. It is conventional to use a cutoff of ~0.354 (2^-1.5, the geometric mean of 0.5 and 0.25) to screen for monozygotic twins and duplicate samples, ~0.177 (2^-2.5) to remove first-degree relations as well, and ~0.0884 (2^-3.5, default) to remove second-degree relations as well, etc.

make.bed

Whether to create new bed/bim/fam files (default). Otherwise, returns a table with coefficients of related pairs.

ncores

Number of cores used. Default doesn't use parallelism. You may use nb_cores.

extra.options

Other options to be passed to PLINK2 as a string.

verbose

Whether to show PLINK log? Default is TRUE.

Value

See parameter make-bed.

References

Manichaikul, Ani, Josyf C. Mychaleckyj, Stephen S. Rich, Kathy Daly, Michele Sale, and Wei-Min Chen. "Robust relationship inference in genome-wide association studies." Bioinformatics 26, no. 22 (2010): 2867-2873.

See also

Examples

if (FALSE) { bedfile <- system.file("extdata", "example.bed", package = "bigsnpr") plink2 <- download_plink2(AVX2 = FALSE) bedfile2 <- snp_plinkKINGQC(plink2, bedfile, bedfile.out = tempfile(fileext = ".bed"), ncores = 2) df_rel <- snp_plinkKINGQC(plink2, bedfile, make.bed = FALSE, ncores = 2) str(df_rel) }