setMissingGenotypes {GWASTools} | R Documentation

## Write a new netCDF or GDS file, setting certain SNPs to missing

### Description

`setMissingGenotypes` copies an existing GDS or netCDF genotype file to a new one, setting SNPs in specified regions to missing.

### Usage

    setMissingGenotypes(parent.file, new.file, regions, file.type=c("gds", "ncdf"),
                        sample.include=NULL, compress="LZMA_RA",
                        copy.attributes=TRUE, verbose=TRUE)

### Arguments

`parent.file` | Name of the parent file
`new.file` | Name of the new file
`regions` | Data.frame of chromosome regions with columns `"scanID", "chromosome", "left.base", "right.base", "whole.chrom"`.
`file.type` | The type of `parent.file` and `new.file` ("gds" or "ncdf")
`sample.include` | Vector of sampleIDs to include in `new.file`
`compress` | The compression level for variables in a GDS file (see `add.gdsn` for options).
`copy.attributes` | Logical value specifying whether to copy chromosome attributes to the new file.
`verbose` | Logical value specifying whether to show progress information.

### Details

`setMissingGenotypes` removes chromosome regions by setting SNPs that fall within the anomaly regions to `NA` (i.e., the missing value in the netCDF/GDS file). Optionally, entire samples may be excluded from the netCDF/GDS file as well: if the `sample.include` argument is given, only the scanIDs in this vector will be written to the new file, so the sample dimension will be `length(sample.include)`.

For regions with `whole.chrom=TRUE`, the entire chromosome will be set to `NA` for that sample. For other regions, only the region between `left.base` and `right.base` will be set to `NA`.

### Author(s)

Stephanie Gogarten

### See Also

`gdsSubset`, `anomSegStats` for chromosome anomaly regions

### Examples

    gdsfile <- system.file("extdata", "illumina_geno.gds", package="GWASdata")
    gds <- GdsGenotypeReader(gdsfile)
    sample.sel <- getScanID(gds, index=1:10)
    close(gds)

    regions <- data.frame("scanID"=sample.sel[1:3], "chromosome"=c(21,22,23),
      "left.base"=c(14000000, 30000000, NA), "right.base"=c(28000000, 450000000, NA),
      whole.chrom=c(FALSE, FALSE, TRUE))

    newgds <- tempfile()
    setMissingGenotypes(gdsfile, newgds, regions, file.type="gds", sample.include=sample.sel)
    file.remove(newgds)

[Package GWASTools version 1.36.0 Index]