Hello,
I am currently dealing with a false-negative case involving a male sample. When the log2 ratio for genes on the sex chromosomes reaches 1.4, we suspect it might indicate a potential mosic-duplication. However, the do_call() function converts this into a copy number (cn=1) through the operation outarr["cn"] = absolutes.round().astype("int"), which is then recorded in the CNV file.
When exporting to VCF format using the segments2vcf() function, this entry is filtered out because at this point, ncopies==1 and abs_exp==1. This scenario wouldn't occur on diploid chromosomes, where typically would be ncopies==3 and abs_exp==2 for such a scenario.
The relevant code snippet for the filtering logic during VCF export is as follows:
for out_row, abs_exp in zip(out_dframe.itertuples(index=False), abs_expect):
if (
out_row.ncopies == abs_exp
or
# To accommodate data from the faulty v0.7.1 version (#53)
not str(out_row.probes).isdigit()
):
# Skip regions with neutral copy number
continue # or mark as "CNV" for subclonal events?
Hello, I am currently dealing with a false-negative case involving a male sample. When the log2 ratio for genes on the sex chromosomes reaches 1.4, we suspect it might indicate a potential mosic-duplication. However, the
do_call()function converts this into a copy number (cn=1) through the operationoutarr["cn"] = absolutes.round().astype("int"), which is then recorded in the CNV file.When exporting to VCF format using the
segments2vcf()function, this entry is filtered out because at this point,ncopies==1andabs_exp==1. This scenario wouldn't occur on diploid chromosomes, where typically would bencopies==3andabs_exp==2for such a scenario.The relevant code snippet for the filtering logic during VCF export is as follows: