-We now assign a functional class (nonsense, missense, silent, or none) to each SnpEff effect, and add a
SNPEFF_FUNCTIONAL_CLASS annotation to the INFO field of the output VCF.
-Effects are now prioritized according to both biological impact and functional class, instead of impact only.
-Many of SnpEff's "low-impact" effects are now classified as "modifiers" with lower priority than every
other effect. This includes such "effects" as DOWNSTREAM, UPSTREAM, INTRON, GENE, EXON, and others that
really describe the location of the variant rather than its biological effect.
This code will be short-lived (likely 1.2-only), as the next version of SnpEff will include most of these
features directly.
Checking this change into Stable+Unstable instead of Unstable because the current functional class stratification
in VariantEval is basically broken and urgently needs to be fixed for production purposes.
-- Old code required qual to be <64, which isn't strictly necessary. Now uses the Picard SAMUtils.MAX_PHRED_SCORE constant
-- Unittest to enforce this behavior
-- Now handles multiple records at a site, so that you don't see records like set=dbsnp-dbsnp-dbsnp when combining something with dbsnp
-- Proper handling of ids. If you are merging files with multiple ids for the same record, the ids are merged into a comma separated list
This change is urgently required for production, which is why it's going into Stable+Unstable
instead of just Unstable.
The keys for the SnpEff version and command header lines in the VCF file output by
VariantAnnotator (OriginalSnpEffVersion and OriginalSnpEffCmd) are intentionally
different from the keys for those same lines in the SnpEff output file (SnpEffVersion
and SnpEffCmd), so that output files from VariantAnnotator won't be confused
with output files from SnpEff itself.
After discussing this with Mark, it seems clear that the old version of the
VariantEval FunctionalClass stratification is preferable to this version.
By reverting, we maintain backwards compatibility with legacy output files
from the old GenomicAnnotator, and can add SnpEff support later without
breaking that backwards compatibility.
This reverts commit b44acd1abd9ab6eec37111a19fa797f9e2ca3326.
This is a temporary and hopefully short-lived solution. I've modified
the FunctionalClass stratification to stratify by effect impact as
defined by SnpEff annotations (high, moderate, and low impact) rather
than by the silent/missense/nonsense categories.
If we want to bring back the silent/missense/nonsense stratification,
we should probably take the approach of asking the SnpEff author
to add it as a feature to SnpEff rather than coding it ourselves,
since the whole point of moving to SnpEff was to outsource genomic
annotation.
-Rewrote SnpEff support in VariantAnnotator to support the latest SnpEff release (version 2.0.2)
-Removed support for SnpEff 1.9.6 (and associated tribble codec)
-Will refuse to parse SnpEff output files produced by unsupported versions (or without a version tag)
-Correctly matches ref/alt alleles before annotating a record, unlike the previous version
-Correctly handles indels (again, unlike the previous version
All VariantAnnotator annotation classes may now have an (optional) initialize() method
that gets called by the VariantAnnotatorEngine ONCE before annotation starts.
As an example of how this can be used, the SnpEff annotation class will use the initialize()
method to check whether the SnpEff version number stored in the vcf header is a supported
version, and also to verify that its required RodBinding is present.
b) Added (but left commented out since it may affect integration tests and to isolate commits) fix to per-sample DP reporting, so that deletions are included in count.
c) Bug fix to avoid having non-reference genotypes assigned to samples with PL=0,0,0. Correct behavior should be to no-call these samples, and to ignore these samples when computing AC distribution since their likelihoods are not informative.
Khalid Shakir
Eric Banks
Mark DePristo
Mauricio Carneiro
David Roazen
Ryan Poplin
Christopher Hartl
Guillermo del Angel
Matt Hanna