GenomeSTRiP SVGenotyper not producing genotypes
Hi,
We ran SVGenotyper on our VCF output from the CNVDiscovery pipeline, however, the GT and GQ fields in the resulting VCF are empty (they just have a ".") for all of the CNVs. This is an example for one of the CNVs:
"""
1 9124572 CNV_1_9124572_9125672 G <CNV> . PASS END=9125672;GCFRACTION=0.47;GCLENGTH=1101;GLALTFREQ=NA;GLALTSUM=0.000;GLHETSUM=0.000;GLINBREEDINGCOEFF=NA;GLREFFREQ=NA;GLREFSUM=0.000;GSCALLRATE=1.000;GSCLUSTERSEP=6.59;GSCLUSTERSEPWEIGHTEDMEAN=5.73;GSCLUSTERSEPWEIGHTEDMEDIAN=5.62;GSCNALLELES=2;GSCNCATEGORY=DEL;GSCNDIST=0,1,453;GSCNMAX=2;GSCNMIN=1;GSCNQUAL=0.4832;GSDUPLICATEOVERLAP=NA;GSDUPLICATES=NA;GSDUPLICATESCORE=NA;GSELENGTH=1101;GSEXPMEAN=71.3606;GSGMMWEIGHTS=0.0082,0.0082,0.9836,0.0000;GSM1=1.0230;GSM2=0.2432,1.2162;GSNNONREF=1;GSNONVARSCORE=NA;GSNVARIANT=1;GSVDJFRACTION=0.000;SVTYPE=CNV GT:CN:CNF:CNL:CNP:CNQ:FT:GQ:GSPC .:2:2.2118:-1000.00,-20.51,-0.00,-2.73:-1000.00,-22.59,0.00,-25.15:99.0:PASS:.:0 .:2:1.8976:-250.71,-11.02,-0.00,-5.67:-252.79,-13.10,-0.00,-28.09:99.0:PASS:.:0 .:2:1.9830:-271.14,-13.20,-0.00,-4.85:-273.22,-15.28,-0.00,-27.27:99.0:PASS:.:0 .:2:1.5809:-150.03,-2.88,-0.00,-7.17:-152.11,-4.96,-0.00,-29.59:49.6:PASS:.:0 .:2:1.8424:-224.80,-9.11,-0.00,-5.86:-226.88,-11.19,-0.00,-28.28:99.0:PASS:.:0 .:2:1.9328:-250.11,-11.49,-0.00,-5.15:-252.19,-13.57,-0.00,-27.58:99.0:PASS:.:0 .:2:2.1839:-316.39,-18.26,-0.00,-2.82:-318.47,-20.34,0.00,-25.24:99.0:PASS:.:0 .:2:1.8725:-237.09,-10.06,-0.00,-5.72:-239.17,-12.14,-0.00,-28.15:99.0:PASS:.:0 .:2:1.9649:-261.49,-12.48,-0.00,-4.93:-263.56,-14.56,-0.00,-27.35:99.0:PASS:.:0 .:2:2.2497:-319.62,-19.24,-0.00,-2.07:-321.40,-21.31,0.00,-24.49:99.0:PASS:.:0 .:2:2.1272:-304.39,-16.87,-0.00,-3.40:-306.47,-18.95,0.00,-25.83:99.0:PASS:.:0 .:2:2.1276:-283.08,-15.68,-0.00,-3.17:-285.16,-17.76,0.00,-25.59:99.0:PASS:.:0
"""
Do you know why this is happening/have a solution for this?
Thank you,
Laura
-
The diploid genotypes for CNVs are encoded in the CN / CNQ fields, analogous to GT and GQ. CN is the diploid copy number estimate and CNQ is the quality. There is also CNF which is a fractional "point estimate" of the copy number from read depth alone. And CNL gives the likelihood of each copy number class (starting from zero).
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