Merge branch 'master' of ssh://nickel.broadinstitute.org/humgen/gsa-scr1/gsa-engineering/git/unstable
This commit is contained in:
commit
51af61b5d7
|
|
@ -33,6 +33,9 @@ import org.broadinstitute.sting.gatk.refdata.RefMetaDataTracker;
|
|||
import org.broadinstitute.sting.gatk.samples.Sample;
|
||||
import org.broadinstitute.sting.gatk.walkers.RodWalker;
|
||||
import org.broadinstitute.sting.gatk.walkers.TreeReducible;
|
||||
import org.broadinstitute.sting.gatk.walkers.genotyper.GenotypeLikelihoodsCalculationModel;
|
||||
import org.broadinstitute.sting.gatk.walkers.genotyper.UnifiedArgumentCollection;
|
||||
import org.broadinstitute.sting.gatk.walkers.genotyper.UnifiedGenotyperEngine;
|
||||
import org.broadinstitute.sting.utils.MendelianViolation;
|
||||
import org.broadinstitute.sting.utils.SampleUtils;
|
||||
import org.broadinstitute.sting.utils.codecs.vcf.*;
|
||||
|
|
@ -235,6 +238,16 @@ public class SelectVariants extends RodWalker<Integer, Integer> implements TreeR
|
|||
@Argument(fullName="excludeFiltered", shortName="ef", doc="Don't include filtered loci in the analysis", required=false)
|
||||
protected boolean EXCLUDE_FILTERED = false;
|
||||
|
||||
/**
|
||||
* This argument triggers re-genotyping of the selected samples through the Exact calculation model. Note that this is truly the
|
||||
* mathematically correct way to select samples (especially when calls were generated from low coverage sequencing data); using the
|
||||
* hard genotypes to select (i.e. the default mode of SelectVariants) can lead to false positives when errors are confused for variants
|
||||
* in the original genotyping. We decided not to set the --regenotype option as the default though as the output can be unexpected if
|
||||
* a user is strictly comparing against the original genotypes (GTs) in the file.
|
||||
*/
|
||||
@Argument(fullName="regenotype", shortName="regenotype", doc="re-genotype the selected samples based on their GLs (or PLs)", required=false)
|
||||
protected Boolean REGENOTYPE = false;
|
||||
private UnifiedGenotyperEngine UG_engine = null;
|
||||
|
||||
/**
|
||||
* When this argument is used, we can choose to include only multiallelic or biallelic sites, depending on how many alleles are listed in the ALT column of a vcf.
|
||||
|
|
@ -430,6 +443,13 @@ public class SelectVariants extends RodWalker<Integer, Integer> implements TreeR
|
|||
SELECT_RANDOM_FRACTION = fractionRandom > 0;
|
||||
if (SELECT_RANDOM_FRACTION) logger.info("Selecting approximately " + 100.0*fractionRandom + "% of the variants at random from the variant track");
|
||||
|
||||
if ( REGENOTYPE ) {
|
||||
final UnifiedArgumentCollection UAC = new UnifiedArgumentCollection();
|
||||
UAC.GLmodel = GenotypeLikelihoodsCalculationModel.Model.BOTH;
|
||||
UAC.OutputMode = UnifiedGenotyperEngine.OUTPUT_MODE.EMIT_ALL_SITES;
|
||||
UAC.NO_SLOD = true;
|
||||
UG_engine = new UnifiedGenotyperEngine(getToolkit(), UAC, logger, null, null, samples, VariantContextUtils.DEFAULT_PLOIDY);
|
||||
}
|
||||
|
||||
/** load in the IDs file to a hashset for matching */
|
||||
if ( rsIDFile != null ) {
|
||||
|
|
@ -509,7 +529,14 @@ public class SelectVariants extends RodWalker<Integer, Integer> implements TreeR
|
|||
continue;
|
||||
|
||||
VariantContext sub = subsetRecord(vc, samples, EXCLUDE_NON_VARIANTS);
|
||||
if ( (sub.isPolymorphicInSamples() || !EXCLUDE_NON_VARIANTS) && (!sub.isFiltered() || !EXCLUDE_FILTERED) ) {
|
||||
|
||||
if ( REGENOTYPE && sub.isPolymorphicInSamples() && hasPLs(sub) ) {
|
||||
final VariantContextBuilder builder = new VariantContextBuilder(UG_engine.calculateGenotypes(tracker, ref, context, sub)).filters(sub.getFiltersMaybeNull());
|
||||
addAnnotations(builder, sub);
|
||||
sub = builder.make();
|
||||
}
|
||||
|
||||
if ( (!EXCLUDE_NON_VARIANTS || sub.isPolymorphicInSamples()) && (!EXCLUDE_FILTERED || !sub.isFiltered()) ) {
|
||||
boolean failedJexlMatch = false;
|
||||
for ( VariantContextUtils.JexlVCMatchExp jexl : jexls ) {
|
||||
if ( !VariantContextUtils.match(sub, jexl) ) {
|
||||
|
|
@ -531,6 +558,14 @@ public class SelectVariants extends RodWalker<Integer, Integer> implements TreeR
|
|||
return 1;
|
||||
}
|
||||
|
||||
private boolean hasPLs(final VariantContext vc) {
|
||||
for ( Genotype g : vc.getGenotypes() ) {
|
||||
if ( g.hasLikelihoods() )
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Checks if vc has a variant call for (at least one of) the samples.
|
||||
* @param vc the variant rod VariantContext. Here, the variant is the dataset you're looking for discordances to (e.g. HapMap)
|
||||
|
|
@ -682,9 +717,26 @@ public class SelectVariants extends RodWalker<Integer, Integer> implements TreeR
|
|||
|
||||
builder.genotypes(newGC);
|
||||
|
||||
addAnnotations(builder, sub);
|
||||
|
||||
return builder.make();
|
||||
}
|
||||
|
||||
private void addAnnotations(final VariantContextBuilder builder, final VariantContext originalVC) {
|
||||
if (KEEP_ORIGINAL_CHR_COUNTS) {
|
||||
if ( originalVC.hasAttribute(VCFConstants.ALLELE_COUNT_KEY) )
|
||||
builder.attribute("AC_Orig", originalVC.getAttribute(VCFConstants.ALLELE_COUNT_KEY));
|
||||
if ( originalVC.hasAttribute(VCFConstants.ALLELE_FREQUENCY_KEY) )
|
||||
builder.attribute("AF_Orig", originalVC.getAttribute(VCFConstants.ALLELE_FREQUENCY_KEY));
|
||||
if ( originalVC.hasAttribute(VCFConstants.ALLELE_NUMBER_KEY) )
|
||||
builder.attribute("AN_Orig", originalVC.getAttribute(VCFConstants.ALLELE_NUMBER_KEY));
|
||||
}
|
||||
|
||||
VariantContextUtils.calculateChromosomeCounts(builder, false);
|
||||
|
||||
int depth = 0;
|
||||
for (String sample : sub.getSampleNames()) {
|
||||
Genotype g = sub.getGenotype(sample);
|
||||
for (String sample : originalVC.getSampleNames()) {
|
||||
Genotype g = originalVC.getGenotype(sample);
|
||||
|
||||
if ( g.isNotFiltered() ) {
|
||||
|
||||
|
|
@ -694,21 +746,7 @@ public class SelectVariants extends RodWalker<Integer, Integer> implements TreeR
|
|||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
if (KEEP_ORIGINAL_CHR_COUNTS) {
|
||||
if ( sub.hasAttribute(VCFConstants.ALLELE_COUNT_KEY) )
|
||||
builder.attribute("AC_Orig", sub.getAttribute(VCFConstants.ALLELE_COUNT_KEY));
|
||||
if ( sub.hasAttribute(VCFConstants.ALLELE_FREQUENCY_KEY) )
|
||||
builder.attribute("AF_Orig", sub.getAttribute(VCFConstants.ALLELE_FREQUENCY_KEY));
|
||||
if ( sub.hasAttribute(VCFConstants.ALLELE_NUMBER_KEY) )
|
||||
builder.attribute("AN_Orig", sub.getAttribute(VCFConstants.ALLELE_NUMBER_KEY));
|
||||
}
|
||||
|
||||
VariantContextUtils.calculateChromosomeCounts(builder, false);
|
||||
builder.attribute("DP", depth);
|
||||
|
||||
return builder.make();
|
||||
}
|
||||
|
||||
private void randomlyAddVariant(int rank, VariantContext vc) {
|
||||
|
|
|
|||
|
|
@ -116,6 +116,19 @@ public class SelectVariantsIntegrationTest extends WalkerTest {
|
|||
executeTest("testUsingDbsnpName--" + testFile, spec);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testRegenotype() {
|
||||
String testFile = validationDataLocation + "combine.3.vcf";
|
||||
|
||||
WalkerTestSpec spec = new WalkerTestSpec(
|
||||
"-T SelectVariants -R " + b36KGReference + " -regenotype -sn NA12892 --variant " + testFile + " -o %s -NO_HEADER",
|
||||
1,
|
||||
Arrays.asList("0fd8e52bdcd1f4b921d8fb5c689f196a")
|
||||
);
|
||||
|
||||
executeTest("testRegenotype--" + testFile, spec);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testMultipleRecordsAtOnePosition() {
|
||||
String testFile = validationDataLocation + "selectVariants.onePosition.vcf";
|
||||
|
|
|
|||
Loading…
Reference in New Issue