GenomeComb

predictgender

Format

cg predictgender ?options? bamfile/sampledir ?outfile?

Summary

predicts gender for a sample

Description

cg predictgender calculates a number of relevant metrics and predicts the gender of the given sample. It outputs the results in report form (tsv file with parameter/value fields). The predicted gender is in the predgender line in the results.

Usually the sampledir is given as argument, and the command will find all files needed for the prediction in it. If a bamfile is given instead, the command will look for other files needed in the same directory. The other files used can however also be given explicitely using options (-varfile, -targetfile)

The measures compare the non-pseudoautosomal region on the Y chromosome (yreg) to the non-pseudoautosomal region on the X chromosome (xreg). these regions can be derived from data in the given reference dbdir (-dbdir) or given directly by the options -regy and -regx.

The gender prediction is primarily based on the the ratio of median coverage of 500 target regions in regy vs regx (pg_yxcovratio). If this is unclear (insufficient X coverage, between 0.1 and 0.3), a combination of the ratio of number of reads mapping to regy (normalized vs the target region) vs that of regx (pg_yxnratio), and the percentage of heterozygous high quality variants (pg_pcthqheterozygous) is used.

Arguments

bamfile/sampledir
The bamfile of the sample or the sampledir can be given as first argument
outfile
if given, results are written to outfile. Otherwise to stdout

Options

-dbdir dbdir
dbdir containing reference genomes databases, used to find non-pseudoautosomal regions
-varfile varfile
variantfile used for calculating the percentage of heterozygous high quality variants
-targetfile targetfile
used to find the size of target area and targeted regions in regy and regx
-xreg xreg
non-pseudoautosomal region on the X chromosome
-yreg yreg
non-pseudoautosomal region on the Y chromosome
-refreg refreg
non X/Y chromosome region, used for adding some reference metrics

Category

Report