On 03/16/2015 04:06 PM, Michael Lawrence wrote:


On Mon, Mar 16, 2015 at 3:12 PM, Robert Castelo <robert.cast...@upf.edu
<mailto:robert.cast...@upf.edu>> wrote:

    +1 IMO BioC could adopt the zero-width ranges representation for
    insertions, adapting readVcf(), writeVcf(), XtraSNPlocs.*, etc., to
    deal with each corresponding beast, be VCF, dbSNP or the like. Who
    knows, VCF could also change their representation in the future and
    it'll be a headache to update the affected packages if we decide to
    keep using its insertion representation internally to store variant
    ranges in BioC.


That would break just about every tool, so let's hope not. There's a
bunch of code on top of Bioc that currently depends on the current
representation. For example, zero width ranges do not overlap anything,
so they need special treatment to e.g. detect whether an insertion falls
within a gene. There are real benefits to keeping the representation of
indels consistent with the rest of the field (VCF). There was much
thought put into this.

Note that findOverlaps() now handles zero-width ranges.

Straight use of findOverlaps() on the ranges of a VCF object leads to
some subtle problems on insertions. For example predictCoding() (which
I guess uses findOverlaps() internally) reports strange things for
these 2 insertions (1 right before and 1 right after the stop codon):

library(TxDb.Hsapiens.UCSC.hg19.knownGene)
txdb <- TxDb.Hsapiens.UCSC.hg19.knownGene

> cdsBy(txdb, use.names=TRUE)$uc002wcw.3
GRanges object with 2 ranges and 3 metadata columns:
      seqnames         ranges strand |    cds_id    cds_name exon_rank
         <Rle>      <IRanges>  <Rle> | <integer> <character> <integer>
  [1]    chr20 [68351, 68408]      + |    206100        <NA>         1
  [2]    chr20 [76646, 77058]      + |    206101        <NA>         2
  -------
  seqinfo: 93 sequences (1 circular) from hg19 genome


library(VariantAnnotation)
> rowRanges(vcf)  # hand-made VCF
GRanges object with 2 ranges and 5 metadata columns:
                        seqnames         ranges strand | paramRangeID
                           <Rle>      <IRanges>  <Rle> |     <factor>
  ins before stop codon    chr20 [77055, 77055]      * |         <NA>
   ins after stop codon    chr20 [77058, 77058]      * |         <NA>
REF ALT QUAL FILTER <DNAStringSet> <DNAStringSetList> <numeric> <character> ins before stop codon T TG 70 PASS ins after stop codon A AG 70 PASS
  -------
  seqinfo: 1 sequence from hg19 genome

Calling predictCoding():

> library(BSgenome.Hsapiens.UCSC.hg19)
> predictCoding(vcf, txdb, Hsapiens)
GRanges object with 2 ranges and 17 metadata columns:
                        seqnames         ranges strand | paramRangeID
                           <Rle>      <IRanges>  <Rle> |     <factor>
  ins before stop codon    chr20 [77055, 77055]      + |         <NA>
   ins after stop codon    chr20 [77058, 77058]      + |         <NA>
REF ALT QUAL FILTER <DNAStringSet> <DNAStringSetList> <numeric> <character> ins before stop codon T TG 70 PASS ins after stop codon A AG 70 PASS
                             varAllele     CDSLOC    PROTEINLOC   QUERYID
                        <DNAStringSet>  <IRanges> <IntegerList> <integer>
  ins before stop codon             TG [468, 468]           156         1
   ins after stop codon             AG [471, 471]           157         2
                               TXID         CDSID      GENEID CONSEQUENCE
                        <character> <IntegerList> <character>    <factor>
  ins before stop codon       70477                    245938  frameshift
   ins after stop codon       70477                    245938  frameshift
                              REFCODON       VARCODON         REFAA
                        <DNAStringSet> <DNAStringSet> <AAStringSet>
  ins before stop codon            AAT            AAT
   ins after stop codon            TAA            TAA
                                VARAA
                        <AAStringSet>
  ins before stop codon
   ins after stop codon
  -------
  seqinfo: 1 sequence from hg19 genome

PROTEINLOC, REFCODON, VARCODON, and CONSEQUENCE don't seem quite right
to me. Could be that my hand-made vcf is missing some important data
needeed by predictCoding() though...

H.



    robert.

    On 3/16/15 9:00 PM, Kasper Daniel Hansen wrote:
    > There would be a LOT of value  in having core packages use exactly the
     > same representation; I don't have any opinion about which one is
     > best.
     >
     > Kasper
     >
     > On Mon, Mar 16, 2015 at 3:38 PM, Hervé Pagès
    <hpa...@fredhutch.org <mailto:hpa...@fredhutch.org>
     > <mailto:hpa...@fredhutch.org> <mailto:hpa...@fredhutch.org>> wrote:
     >
     > On 03/16/2015 09:22 AM, Michael Lawrence wrote:
     >
     > Yes, I think it would make sense for the Xtra package to follow the
     > established convention in VariantAnnotation/VCF.
     >
     >
     > I don't know. I agree it would be nice to use a more consistent
     > representation of insertions across the software but I'm not
     > convinced we should necessarily follow the VCF way, which is to
     > include the base before the event in the ref and alt alleles as well
     > as in the reported range.
     >
     > Note that there doesn't seem to be any consensus in the broader
     > Bioinformatics community either. For example dbSNP and HGVS report
     > the range that corresponds to the 2 flanking nucleotides but they
     > don't include these nucleotides in the ref or alt alleles. VCF does
     > the same as GFF3 which says "start equals end and the implied site is
     > to the right of the indicated base" except that VCF wants to treat
     > events that occur at position 1 in a special way. In that case VCF
     > says the base *after* the event should be included (seems like the
     > VCF authors want to avoid both: empty ranges and also ranges that
     > start at POS 0). BTW it doesn't seem that
     > VariantAnnotation::isInsertion() is aware of that special treatment.
     >
     > UCSC uses a zero-width range, and so does the XtraSNPlocs.*
     > packages. The advantage of this representation is its simplicity.
     > There is no special cases. It also reflects the notion that an
     > insertion is a replacement of an empty string with a non-empty
     > string. No need to include flanking nucleotides in the representation
     > (which is artificial and distorts the "real" alt allele).
     >
     >
     > H.
     >
     >
     > On Mon, Mar 16, 2015 at 9:16 AM, Robert Castelo
     > <robert.cast...@upf.edu <mailto:robert.cast...@upf.edu>
    <mailto:robert.cast...@upf.edu> <mailto:robert.cast...@upf.edu>> wrote:
     >
     > dear devel people, specially Val and Michael,
     >
     > Hervé has recently added an annotation package that includes
     > non-SNVs variants from dbSNP, it is called:
     >
     > library(XtraSNPlocs.Hsapiens.dbSNP141.GRCh38)
     >
     > if you execute the corresponding example you'll see the kind of
     > information stored in the package:
     >
     > example(XtraSNPlocs.Hsapiens.dbSNP141.GRCh38)
     >
     >
     > if you pay attention to the following case:
     >
     > my_snps1[1:2] GRanges object with 2 ranges and 3 metadata columns:
     > seqnames               ranges strand |   RefSNP_id alleles <Rle>
     > <IRanges>  <Rle> | <character> <character> [1]       22 [10513380,
     > 10513380]      - | rs386831164         -/T [2]       22 [10519678,
     > 10519677]      + |  rs71286731       -/TTT ref_allele <DNAStringSet>
     > [1]              T [2]              - ------- seqinfo: 25 sequences
     > (1 circular) from GRCh38 genome
     >
     > you'll see the first variant (rs386831164) is a deletion of one
     > nucleotide and the second (rs71286731) is an insertion of three
     > nucleotides (TTT).
     >
     > it struck me that the ranges representing the insertion had an start
     > position one nucleotide larger than then and i contacted Hervé
     > thinking that this was a mistake. however, i've learned from him that
     > these are so-called "zero-width" ranges and they actually allow to
     > distinguish insertions from every other type of variant without the
     > need to know anything about the reference or the alternate allele.
     >
     > currently, the VCF specification 4.2 (http://samtools.github.io/
     > hts-specs/VCFv4.2.pdf page 5) uses the nucleotide composition of the
     > REF column to help distinguishing insertions by including the
     > flanking nucleotide of the inserted sequence. As a result,
     > VariantAnnotation::readVcf() produces ranges that mimic this
     > standard having identical start and end positions leading to 1-width
     > ranges:
     >
     > fl <- system.file("extdata", "CEUtrio.vcf.bgz",
     > package="VariantFiltering") vcf <- readVcf(fl, genome="hg19")
     > rowRanges(vcf[isInsertion(vcf), ])[1:2] GRanges object with 2 ranges
     > and 5 metadata columns: seqnames               ranges strand |
     > paramRangeID <Rle>            <IRanges> <Rle> |     <factor>
     > rs11474033       20 [45093330, 45093330]      * | <NA>
     > 20:47592746_G/GGC       20 [47592746, 47592746]      * |
     > <NA> REF                ALT      QUAL      FILTER <DNAStringSet>
     > <DNAStringSetList> <numeric> <character> rs11474033              C
     > CTTCT   2901.12           . 20:47592746_G/GGC              G
     > GGC    608.88           . ------- seqinfo: 84 sequences from hg19
     > genome
     >
     >
     > table(width(rowRanges(vcf[isInsertion(vcf), ])))
     >
     > 1 78
     >
     > i would like to ask whether it would make sense to harmonize the way
     > in which dbSNP insertions and variants are imported into Bioconductor
     > by making VariantAnnotation::readVcf() to produce zero-width ranges
     > for insertion variants. this not a feature request, i only would like
     > to know what whether there is a particular reason not to use the
     > available zero-width ranges that seem to be implemented for this
     > purpose.
     >
     >
     > cheers,
     >
     > robert.
     >
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     > -- Hervé Pagès
     >
     > Program in Computational Biology Division of Public Health Sciences
     > Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514
     > P.O. Box 19024 Seattle, WA 98109-1024
     >
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--
Hervé Pagès

Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N, M1-B514
P.O. Box 19024
Seattle, WA 98109-1024

E-mail: hpa...@fredhutch.org
Phone:  (206) 667-5791
Fax:    (206) 667-1319

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