I would say rows 1 and 3 are SNVs, but not row 4. For this application
I think a variant has to be an SNV or not, as you can't pass half a
variant. (I suppose you could remove the ALT values with length > 1 and
set those genotypes to missing, but that is both complicated and
unexpected behavior. Also, it could introduce bias into association
testing, since you would get non-random missingness.)
isSNV() in SeqVarTools returns TRUE only if the max length of all
alleles is 1. It also has a logical argument "biallelic" which allows
to select for only biallelic SNVs - that could be useful here as well.
If biallelic=TRUE, only row 1 would make it into the subset.
Stephanie
On 3/18/14 4:04 PM, Julian Gehring wrote:
Hi Valerie,
I would consider G>C an SNV, G>TT not. But I assume that there exists
no clear consensus on this. How about a flag that let's the second pass
as SNV optionally, so everybody can get what one needs?
Best wishes
Julian
On 18/03/14 18:36, Valerie Obenchain wrote:
Hi,
I've added a restrictToSNV() function to VariantAnnotation (1.9.46). The
return value is a subset VCF object containing SNVs only. The function
operates on CollapsedVCF or ExapandedVCF and the alt(VCF) value must be
nucleotides (i.e., no structural variants).
A variant is considered a SNV if the nucleotide sequences in both
ref(vcf) and alt(x) are of length 1. I have a question about how
variants with multiple 'ALT' values should be handled.
Should we consider row 4 a SNV? One 'ALT' is length 1, the other is not.
ALT <- DNAStringSetList("A", c("TT"), c("G", "A"), c("TT", "C"))
REF <- DNAStringSet(c("G", c("AA"), "T", "G"))
DataFrame(REF, ALT)
DataFrame with 4 rows and 2 columns
REF ALT
<DNAStringSet> <DNAStringSetList>
1 G A
2 AA TT
3 T G,A
4 G TT,C
Thanks.
Valerie
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