private Map<String, Object> calculateIC(final VariantContext vc) {
final GenotypesContext genotypes =
(founderIds == null || founderIds.isEmpty())
? vc.getGenotypes()
: vc.getGenotypes(founderIds);
if (genotypes == null || genotypes.size() < MIN_SAMPLES) return null;
int idxAA = 0, idxAB = 1, idxBB = 2;
if (!vc.isBiallelic()) {
// for non-bliallelic case, do test with most common alt allele.
// Get then corresponding indeces in GL vectors to retrieve GL of AA,AB and BB.
int[] idxVector = vc.getGLIndecesOfAlternateAllele(vc.getAltAlleleWithHighestAlleleCount());
idxAA = idxVector[0];
idxAB = idxVector[1];
idxBB = idxVector[2];
}
double refCount = 0.0;
double hetCount = 0.0;
double homCount = 0.0;
int N = 0; // number of samples that have likelihoods
for (final Genotype g : genotypes) {
if (g.isNoCall() || !g.hasLikelihoods()) continue;
if (g.getPloidy() != 2) // only work for diploid samples
continue;
N++;
final double[] normalizedLikelihoods =
MathUtils.normalizeFromLog10(g.getLikelihoods().getAsVector());
refCount += normalizedLikelihoods[idxAA];
hetCount += normalizedLikelihoods[idxAB];
homCount += normalizedLikelihoods[idxBB];
}
if (N < MIN_SAMPLES) {
return null;
}
final double p =
(2.0 * refCount + hetCount)
/ (2.0 * (refCount + hetCount + homCount)); // expected reference allele frequency
final double q = 1.0 - p; // expected alternative allele frequency
final double F = 1.0 - (hetCount / (2.0 * p * q * (double) N)); // inbreeding coefficient
Map<String, Object> map = new HashMap<String, Object>();
map.put(getKeyNames().get(0), String.format("%.4f", F));
return map;
}
/**
* Helper method to subset a VC record, modifying some metadata stored in the INFO field (i.e. AN,
* AC, AF).
*
* @param vc the VariantContext record to subset
* @param samples the samples to extract
* @return the subsetted VariantContext
*/
private VariantContext subsetRecord(VariantContext vc, Set<String> samples) {
if (samples == null || samples.isEmpty()) return vc;
ArrayList<Genotype> genotypes = new ArrayList<Genotype>();
for (Map.Entry<String, Genotype> genotypePair : vc.getGenotypes().entrySet()) {
if (samples.contains(genotypePair.getKey())) genotypes.add(genotypePair.getValue());
}
VariantContext sub = vc.subContextFromGenotypes(genotypes, vc.getAlleles());
// if we have fewer alternate alleles in the selected VC than in the original VC, we need to
// strip out the GL/PLs (because they are no longer accurate)
if (vc.getAlleles().size() != sub.getAlleles().size())
sub = VariantContext.modifyGenotypes(sub, VariantContextUtils.stripPLs(vc.getGenotypes()));
HashMap<String, Object> attributes = new HashMap<String, Object>(sub.getAttributes());
int depth = 0;
for (String sample : sub.getSampleNames()) {
Genotype g = sub.getGenotype(sample);
if (g.isNotFiltered() && g.isCalled()) {
String dp = (String) g.getAttribute("DP");
if (dp != null
&& !dp.equals(VCFConstants.MISSING_DEPTH_v3)
&& !dp.equals(VCFConstants.MISSING_VALUE_v4)) {
depth += Integer.valueOf(dp);
}
}
}
if (KEEP_ORIGINAL_CHR_COUNTS) {
if (attributes.containsKey(VCFConstants.ALLELE_COUNT_KEY))
attributes.put("AC_Orig", attributes.get(VCFConstants.ALLELE_COUNT_KEY));
if (attributes.containsKey(VCFConstants.ALLELE_FREQUENCY_KEY))
attributes.put("AF_Orig", attributes.get(VCFConstants.ALLELE_FREQUENCY_KEY));
if (attributes.containsKey(VCFConstants.ALLELE_NUMBER_KEY))
attributes.put("AN_Orig", attributes.get(VCFConstants.ALLELE_NUMBER_KEY));
}
VariantContextUtils.calculateChromosomeCounts(sub, attributes, false);
attributes.put("DP", depth);
sub = VariantContext.modifyAttributes(sub, attributes);
return sub;
}
private static List<String> calcVCFGenotypeKeys(VariantContext vc) {
Set<String> keys = new HashSet<String>();
boolean sawGoodGT = false;
boolean sawGoodQual = false;
boolean sawGenotypeFilter = false;
for (Genotype g : vc.getGenotypes().values()) {
keys.addAll(g.getAttributes().keySet());
if (g.isAvailable()) sawGoodGT = true;
if (g.hasNegLog10PError()) sawGoodQual = true;
if (g.isFiltered() && g.isCalled()) sawGenotypeFilter = true;
}
if (sawGoodQual) keys.add(VCFConstants.GENOTYPE_QUALITY_KEY);
if (sawGenotypeFilter) keys.add(VCFConstants.GENOTYPE_FILTER_KEY);
List<String> sortedList = ParsingUtils.sortList(new ArrayList<String>(keys));
// make sure the GT is first
if (sawGoodGT) {
List<String> newList = new ArrayList<String>(sortedList.size() + 1);
newList.add(VCFConstants.GENOTYPE_KEY);
newList.addAll(sortedList);
sortedList = newList;
}
return sortedList;
}
/**
* 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)
* @param compVCs the comparison VariantContext (discordance
* @return
*/
private boolean isDiscordant(VariantContext vc, Collection<VariantContext> compVCs) {
if (vc == null) return false;
// if we're not looking at specific samples then the absence of a compVC means discordance
if (NO_SAMPLES_SPECIFIED) return (compVCs == null || compVCs.isEmpty());
// check if we find it in the variant rod
Map<String, Genotype> genotypes = vc.getGenotypes(samples);
for (Genotype g : genotypes.values()) {
if (sampleHasVariant(g)) {
// There is a variant called (or filtered with not exclude filtered option set) that is not
// HomRef for at least one of the samples.
if (compVCs == null) return true;
// Look for this sample in the all vcs of the comp ROD track.
boolean foundVariant = false;
for (VariantContext compVC : compVCs) {
if (sampleHasVariant(compVC.getGenotype(g.getSampleName()))) {
foundVariant = true;
break;
}
}
// if (at least one sample) was not found in all VCs of the comp ROD, we have discordance
if (!foundVariant) return true;
}
}
return false; // we only get here if all samples have a variant in the comp rod.
}
static boolean allGenotypesAreUnfilteredAndCalled(VariantContext vc) {
for (final Genotype gt : vc.getGenotypes()) {
if (gt.isNoCall() || gt.isFiltered()) return false;
}
return true;
}
/**
* Returns a context identical to this with the REF and ALT alleles reverse complemented.
*
* @param vc variant context
* @return new vc
*/
public static VariantContext reverseComplement(VariantContext vc) {
// create a mapping from original allele to reverse complemented allele
HashMap<Allele, Allele> alleleMap = new HashMap<Allele, Allele>(vc.getAlleles().size());
for (Allele originalAllele : vc.getAlleles()) {
Allele newAllele;
if (originalAllele.isNoCall() || originalAllele.isNull()) newAllele = originalAllele;
else
newAllele =
Allele.create(
BaseUtils.simpleReverseComplement(originalAllele.getBases()),
originalAllele.isReference());
alleleMap.put(originalAllele, newAllele);
}
// create new Genotype objects
GenotypesContext newGenotypes = GenotypesContext.create(vc.getNSamples());
for (final Genotype genotype : vc.getGenotypes()) {
List<Allele> newAlleles = new ArrayList<Allele>();
for (Allele allele : genotype.getAlleles()) {
Allele newAllele = alleleMap.get(allele);
if (newAllele == null) newAllele = Allele.NO_CALL;
newAlleles.add(newAllele);
}
newGenotypes.add(Genotype.modifyAlleles(genotype, newAlleles));
}
return new VariantContextBuilder(vc).alleles(alleleMap.values()).genotypes(newGenotypes).make();
}
protected final void printCallInfo(
final VariantContext vc,
final double[] log10AlleleFrequencyPriors,
final long runtimeNano,
final AFCalcResult result) {
printCallElement(vc, "type", "ignore", vc.getType());
int allelei = 0;
for (final Allele a : vc.getAlleles())
printCallElement(vc, "allele", allelei++, a.getDisplayString());
for (final Genotype g : vc.getGenotypes())
printCallElement(vc, "PL", g.getSampleName(), g.getLikelihoodsString());
for (int priorI = 0; priorI < log10AlleleFrequencyPriors.length; priorI++)
printCallElement(vc, "priorI", priorI, log10AlleleFrequencyPriors[priorI]);
printCallElement(vc, "runtime.nano", "ignore", runtimeNano);
printCallElement(vc, "log10PosteriorOfAFEq0", "ignore", result.getLog10PosteriorOfAFEq0());
printCallElement(vc, "log10PosteriorOfAFGt0", "ignore", result.getLog10PosteriorOfAFGT0());
for (final Allele allele : result.getAllelesUsedInGenotyping()) {
if (allele.isNonReference()) {
printCallElement(vc, "MLE", allele, result.getAlleleCountAtMLE(allele));
printCallElement(
vc, "pNonRefByAllele", allele, result.getLog10PosteriorOfAFGt0ForAllele(allele));
}
}
callReport.flush();
}
private static void mergeGenotypes(
GenotypesContext mergedGenotypes,
VariantContext oneVC,
AlleleMapper alleleMapping,
boolean uniqifySamples) {
for (Genotype g : oneVC.getGenotypes()) {
String name = mergedSampleName(oneVC.getSource(), g.getSampleName(), uniqifySamples);
if (!mergedGenotypes.containsSample(name)) {
// only add if the name is new
Genotype newG = g;
if (uniqifySamples || alleleMapping.needsRemapping()) {
final List<Allele> alleles =
alleleMapping.needsRemapping() ? alleleMapping.remap(g.getAlleles()) : g.getAlleles();
newG =
new Genotype(
name,
alleles,
g.getLog10PError(),
g.getFilters(),
g.getAttributes(),
g.isPhased());
}
mergedGenotypes.add(newG);
}
}
}
public Map<String, Object> annotate(
RefMetaDataTracker tracker,
AnnotatorCompatible walker,
ReferenceContext ref,
Map<String, AlignmentContext> stratifiedContexts,
VariantContext vc) {
if (stratifiedContexts.size()
== 0) // size 0 means that call was made by someone else and we have no data here
return null;
if (!vc.isSNP() && !vc.isIndel() && !vc.isMixed()) return null;
final AlignmentContext context =
AlignmentContextUtils.joinContexts(stratifiedContexts.values());
final int contextWingSize = Math.min((ref.getWindow().size() - 1) / 2, MIN_CONTEXT_WING_SIZE);
final int contextSize = contextWingSize * 2 + 1;
final int locus =
ref.getLocus().getStart() + (ref.getLocus().getStop() - ref.getLocus().getStart()) / 2;
final ReadBackedPileup pileup = context.getBasePileup();
// Compute all haplotypes consistent with the current read pileup
final List<Haplotype> haplotypes = computeHaplotypes(pileup, contextSize, locus, vc);
final MathUtils.RunningAverage scoreRA = new MathUtils.RunningAverage();
if (haplotypes != null) {
for (final Genotype genotype : vc.getGenotypes()) {
final AlignmentContext thisContext = stratifiedContexts.get(genotype.getSampleName());
if (thisContext != null) {
final ReadBackedPileup thisPileup = thisContext.getBasePileup();
if (vc.isSNP())
scoreRA.add(
scoreReadsAgainstHaplotypes(
haplotypes,
thisPileup,
contextSize,
locus)); // Taking the simple average of all sample's score since the score can
// be negative and the RMS doesn't make sense
else if (vc.isIndel() || vc.isMixed()) {
Double d = scoreIndelsAgainstHaplotypes(thisPileup);
if (d == null) return null;
scoreRA.add(
d); // Taking the simple average of all sample's score since the score can be
// negative and the RMS doesn't make sense
}
}
}
}
// annotate the score in the info field
final Map<String, Object> map = new HashMap<String, Object>();
map.put(getKeyNames().get(0), String.format("%.4f", scoreRA.mean()));
return map;
}
static boolean allSamplesAreMergeable(VariantContext vc1, VariantContext vc2) {
// Check that each sample's genotype in vc2 is uniquely appendable onto its genotype in vc1:
for (final Genotype gt1 : vc1.getGenotypes()) {
Genotype gt2 = vc2.getGenotype(gt1.getSampleName());
if (!alleleSegregationIsKnown(gt1, gt2)) // can merge if: phased, or if either is a hom
return false;
}
return true;
}
public static VariantContext purgeUnallowedGenotypeAttributes(
VariantContext vc, Set<String> allowedAttributes) {
if (allowedAttributes == null) return vc;
GenotypesContext newGenotypes = GenotypesContext.create(vc.getNSamples());
for (final Genotype genotype : vc.getGenotypes()) {
Map<String, Object> attrs = new HashMap<String, Object>();
for (Map.Entry<String, Object> attr : genotype.getAttributes().entrySet()) {
if (allowedAttributes.contains(attr.getKey())) attrs.put(attr.getKey(), attr.getValue());
}
newGenotypes.add(Genotype.modifyAttributes(genotype, attrs));
}
return new VariantContextBuilder(vc).genotypes(newGenotypes).make();
}
/**
* Copy constructor
*
* @param other the VariantContext to copy
*/
protected VariantContext(VariantContext other) {
this(
other.getSource(),
other.getID(),
other.getChr(),
other.getStart(),
other.getEnd(),
other.getAlleles(),
other.getGenotypes(),
other.getLog10PError(),
other.getFiltersMaybeNull(),
other.getAttributes(),
other.REFERENCE_BASE_FOR_INDEL,
NO_VALIDATION);
}
static boolean someSampleHasDoubleNonReferenceAllele(VariantContext vc1, VariantContext vc2) {
for (final Genotype gt1 : vc1.getGenotypes()) {
Genotype gt2 = vc2.getGenotype(gt1.getSampleName());
List<Allele> site1Alleles = gt1.getAlleles();
List<Allele> site2Alleles = gt2.getAlleles();
Iterator<Allele> all2It = site2Alleles.iterator();
for (Allele all1 : site1Alleles) {
Allele all2 = all2It.next(); // this is OK, since allSamplesAreMergeable()
if (all1.isNonReference() && all2.isNonReference()) // corresponding alleles are alternate
return true;
}
}
return false;
}
public void update2(
VariantContext eval,
VariantContext comp,
RefMetaDataTracker tracker,
ReferenceContext ref,
AlignmentContext context) {
if (eval == null || (getWalker().ignoreAC0Sites() && eval.isMonomorphicInSamples())) return;
final Type type = getType(eval);
if (type == null) return;
TypeSampleMap titvTable = null;
// update DP, if possible
if (eval.hasAttribute(VCFConstants.DEPTH_KEY)) depthPerSample.inc(type, ALL);
// update counts
allVariantCounts.inc(type, ALL);
// type specific calculations
if (type == Type.SNP && eval.isBiallelic()) {
titvTable =
VariantContextUtils.isTransition(eval) ? transitionsPerSample : transversionsPerSample;
titvTable.inc(type, ALL);
}
// novelty calculation
if (comp != null || (type == Type.CNV && overlapsKnownCNV(eval)))
knownVariantCounts.inc(type, ALL);
// per sample metrics
for (final Genotype g : eval.getGenotypes()) {
if (!g.isNoCall() && !g.isHomRef()) {
countsPerSample.inc(type, g.getSampleName());
// update transition / transversion ratio
if (titvTable != null) titvTable.inc(type, g.getSampleName());
if (g.hasDP()) depthPerSample.inc(type, g.getSampleName());
}
}
}
@Test(dataProvider = "mergeGenotypes")
public void testMergeGenotypes(MergeGenotypesTest cfg) {
final VariantContext merged =
VariantContextUtils.simpleMerge(
genomeLocParser,
cfg.inputs,
cfg.priority,
VariantContextUtils.FilteredRecordMergeType.KEEP_IF_ANY_UNFILTERED,
VariantContextUtils.GenotypeMergeType.PRIORITIZE,
true,
false,
"set",
false,
false);
// test alleles are equal
Assert.assertEquals(merged.getAlleles(), cfg.expected.getAlleles());
// test genotypes
assertGenotypesAreMostlyEqual(merged.getGenotypes(), cfg.expected.getGenotypes());
}
static boolean doubleAllelesSegregatePerfectlyAmongSamples(
VariantContext vc1, VariantContext vc2) {
// Check that Alleles at vc1 and at vc2 always segregate together in all samples (including
// reference):
Map<Allele, Allele> allele1ToAllele2 = new HashMap<Allele, Allele>();
Map<Allele, Allele> allele2ToAllele1 = new HashMap<Allele, Allele>();
// Note the segregation of the alleles for the reference genome:
allele1ToAllele2.put(vc1.getReference(), vc2.getReference());
allele2ToAllele1.put(vc2.getReference(), vc1.getReference());
// Note the segregation of the alleles for each sample (and check that it is consistent with the
// reference and all previous samples).
for (final Genotype gt1 : vc1.getGenotypes()) {
Genotype gt2 = vc2.getGenotype(gt1.getSampleName());
List<Allele> site1Alleles = gt1.getAlleles();
List<Allele> site2Alleles = gt2.getAlleles();
Iterator<Allele> all2It = site2Alleles.iterator();
for (Allele all1 : site1Alleles) {
Allele all2 = all2It.next();
Allele all1To2 = allele1ToAllele2.get(all1);
if (all1To2 == null) allele1ToAllele2.put(all1, all2);
else if (!all1To2.equals(all2)) // all1 segregates with two different alleles at site 2
return false;
Allele all2To1 = allele2ToAllele1.get(all2);
if (all2To1 == null) allele2ToAllele1.put(all2, all1);
else if (!all2To1.equals(all1)) // all2 segregates with two different alleles at site 1
return false;
}
}
return true;
}
public static VariantContextBuilder pruneVariantContext(
final VariantContextBuilder builder, Collection<String> keysToPreserve) {
final VariantContext vc = builder.make();
if (keysToPreserve == null) keysToPreserve = Collections.emptyList();
// VC info
final Map<String, Object> attributes = subsetAttributes(vc.commonInfo, keysToPreserve);
// Genotypes
final GenotypesContext genotypes = GenotypesContext.create(vc.getNSamples());
for (final Genotype g : vc.getGenotypes()) {
Map<String, Object> genotypeAttributes = subsetAttributes(g.commonInfo, keysToPreserve);
genotypes.add(
new Genotype(
g.getSampleName(),
g.getAlleles(),
g.getLog10PError(),
g.getFilters(),
genotypeAttributes,
g.isPhased()));
}
return builder.genotypes(genotypes).attributes(attributes);
}
static VariantContext reallyMergeIntoMNP(
VariantContext vc1, VariantContext vc2, ReferenceSequenceFile referenceFile) {
int startInter = vc1.getEnd() + 1;
int endInter = vc2.getStart() - 1;
byte[] intermediateBases = null;
if (startInter <= endInter) {
intermediateBases =
referenceFile.getSubsequenceAt(vc1.getChr(), startInter, endInter).getBases();
StringUtil.toUpperCase(intermediateBases);
}
MergedAllelesData mergeData =
new MergedAllelesData(
intermediateBases, vc1, vc2); // ensures that the reference allele is added
GenotypesContext mergedGenotypes = GenotypesContext.create();
for (final Genotype gt1 : vc1.getGenotypes()) {
Genotype gt2 = vc2.getGenotype(gt1.getSampleName());
List<Allele> site1Alleles = gt1.getAlleles();
List<Allele> site2Alleles = gt2.getAlleles();
List<Allele> mergedAllelesForSample = new LinkedList<Allele>();
/* NOTE: Since merged alleles are added to mergedAllelesForSample in the SAME order as in the input VC records,
we preserve phase information (if any) relative to whatever precedes vc1:
*/
Iterator<Allele> all2It = site2Alleles.iterator();
for (Allele all1 : site1Alleles) {
Allele all2 = all2It.next(); // this is OK, since allSamplesAreMergeable()
Allele mergedAllele = mergeData.ensureMergedAllele(all1, all2);
mergedAllelesForSample.add(mergedAllele);
}
double mergedGQ = Math.max(gt1.getLog10PError(), gt2.getLog10PError());
Set<String> mergedGtFilters =
new HashSet<
String>(); // Since gt1 and gt2 were unfiltered, the Genotype remains unfiltered
Map<String, Object> mergedGtAttribs = new HashMap<String, Object>();
PhaseAndQuality phaseQual = calcPhaseForMergedGenotypes(gt1, gt2);
if (phaseQual.PQ != null) mergedGtAttribs.put(ReadBackedPhasingWalker.PQ_KEY, phaseQual.PQ);
Genotype mergedGt =
new Genotype(
gt1.getSampleName(),
mergedAllelesForSample,
mergedGQ,
mergedGtFilters,
mergedGtAttribs,
phaseQual.isPhased);
mergedGenotypes.add(mergedGt);
}
String mergedName = mergeVariantContextNames(vc1.getSource(), vc2.getSource());
double mergedLog10PError = Math.min(vc1.getLog10PError(), vc2.getLog10PError());
Set<String> mergedFilters =
new HashSet<
String>(); // Since vc1 and vc2 were unfiltered, the merged record remains unfiltered
Map<String, Object> mergedAttribs = mergeVariantContextAttributes(vc1, vc2);
// ids
List<String> mergedIDs = new ArrayList<String>();
if (vc1.hasID()) mergedIDs.add(vc1.getID());
if (vc2.hasID()) mergedIDs.add(vc2.getID());
String mergedID =
mergedIDs.isEmpty()
? VCFConstants.EMPTY_ID_FIELD
: Utils.join(VCFConstants.ID_FIELD_SEPARATOR, mergedIDs);
VariantContextBuilder mergedBuilder =
new VariantContextBuilder(
mergedName,
vc1.getChr(),
vc1.getStart(),
vc2.getEnd(),
mergeData.getAllMergedAlleles())
.id(mergedID)
.genotypes(mergedGenotypes)
.log10PError(mergedLog10PError)
.filters(mergedFilters)
.attributes(mergedAttribs);
VariantContextUtils.calculateChromosomeCounts(mergedBuilder, true);
return mergedBuilder.make();
}
public void writeBeagleOutput(
VariantContext preferredVC, VariantContext otherVC, boolean isValidationSite, double prior) {
GenomeLoc currentLoc =
VariantContextUtils.getLocation(getToolkit().getGenomeLocParser(), preferredVC);
StringBuffer beagleOut = new StringBuffer();
String marker = String.format("%s:%d ", currentLoc.getContig(), currentLoc.getStart());
beagleOut.append(marker);
if (markers != null)
markers.append(marker).append("\t").append(Integer.toString(markerCounter++)).append("\t");
for (Allele allele : preferredVC.getAlleles()) {
String bglPrintString;
if (allele.isNoCall() || allele.isNull()) bglPrintString = "-";
else bglPrintString = allele.getBaseString(); // get rid of * in case of reference allele
beagleOut.append(String.format("%s ", bglPrintString));
if (markers != null) markers.append(bglPrintString).append("\t");
}
if (markers != null) markers.append("\n");
GenotypesContext preferredGenotypes = preferredVC.getGenotypes();
GenotypesContext otherGenotypes = goodSite(otherVC) ? otherVC.getGenotypes() : null;
for (String sample : samples) {
boolean isMaleOnChrX = CHECK_IS_MALE_ON_CHR_X && getSample(sample).getGender() == Gender.MALE;
Genotype genotype;
boolean isValidation;
// use sample as key into genotypes structure
if (preferredGenotypes.containsSample(sample)) {
genotype = preferredGenotypes.get(sample);
isValidation = isValidationSite;
} else if (otherGenotypes != null && otherGenotypes.containsSample(sample)) {
genotype = otherGenotypes.get(sample);
isValidation = !isValidationSite;
} else {
// there is magically no genotype for this sample.
throw new StingException(
"Sample "
+ sample
+ " arose with no genotype in variant or validation VCF. This should never happen.");
}
/*
* Use likelihoods if: is validation, prior is negative; or: is not validation, has genotype key
*/
double[] log10Likelihoods = null;
if ((isValidation && prior < 0.0) || genotype.hasLikelihoods()) {
log10Likelihoods = genotype.getLikelihoods().getAsVector();
// see if we need to randomly mask out genotype in this position.
if (GenomeAnalysisEngine.getRandomGenerator().nextDouble() <= insertedNoCallRate) {
// we are masking out this genotype
log10Likelihoods =
isMaleOnChrX ? HAPLOID_FLAT_LOG10_LIKELIHOODS : DIPLOID_FLAT_LOG10_LIKELIHOODS;
}
if (isMaleOnChrX) {
log10Likelihoods[1] = -255; // todo -- warning this is dangerous for multi-allele case
}
}
/** otherwise, use the prior uniformly */
else if (!isValidation && genotype.isCalled() && !genotype.hasLikelihoods()) {
// hack to deal with input VCFs with no genotype likelihoods. Just assume the called
// genotype
// is confident. This is useful for Hapmap and 1KG release VCFs.
double AA = (1.0 - prior) / 2.0;
double AB = (1.0 - prior) / 2.0;
double BB = (1.0 - prior) / 2.0;
if (genotype.isHomRef()) {
AA = prior;
} else if (genotype.isHet()) {
AB = prior;
} else if (genotype.isHomVar()) {
BB = prior;
}
log10Likelihoods = MathUtils.toLog10(new double[] {AA, isMaleOnChrX ? 0.0 : AB, BB});
} else {
log10Likelihoods =
isMaleOnChrX ? HAPLOID_FLAT_LOG10_LIKELIHOODS : DIPLOID_FLAT_LOG10_LIKELIHOODS;
}
writeSampleLikelihoods(beagleOut, preferredVC, log10Likelihoods);
}
beagleWriter.println(beagleOut.toString());
}
public static VariantContext createVariantContextWithPaddedAlleles(
VariantContext inputVC, boolean refBaseShouldBeAppliedToEndOfAlleles) {
// see if we need to pad common reference base from all alleles
boolean padVC;
// We need to pad a VC with a common base if the length of the reference allele is less than the
// length of the VariantContext.
// This happens because the position of e.g. an indel is always one before the actual event (as
// per VCF convention).
long locLength = (inputVC.getEnd() - inputVC.getStart()) + 1;
if (inputVC.hasSymbolicAlleles()) padVC = true;
else if (inputVC.getReference().length() == locLength) padVC = false;
else if (inputVC.getReference().length() == locLength - 1) padVC = true;
else
throw new IllegalArgumentException(
"Badly formed variant context at location "
+ String.valueOf(inputVC.getStart())
+ " in contig "
+ inputVC.getChr()
+ ". Reference length must be at most one base shorter than location size");
// nothing to do if we don't need to pad bases
if (padVC) {
if (!inputVC.hasReferenceBaseForIndel())
throw new ReviewedStingException(
"Badly formed variant context at location "
+ inputVC.getChr()
+ ":"
+ inputVC.getStart()
+ "; no padded reference base is available.");
Byte refByte = inputVC.getReferenceBaseForIndel();
List<Allele> alleles = new ArrayList<Allele>();
for (Allele a : inputVC.getAlleles()) {
// get bases for current allele and create a new one with trimmed bases
if (a.isSymbolic()) {
alleles.add(a);
} else {
String newBases;
if (refBaseShouldBeAppliedToEndOfAlleles)
newBases = a.getBaseString() + new String(new byte[] {refByte});
else newBases = new String(new byte[] {refByte}) + a.getBaseString();
alleles.add(Allele.create(newBases, a.isReference()));
}
}
// now we can recreate new genotypes with trimmed alleles
GenotypesContext genotypes = GenotypesContext.create(inputVC.getNSamples());
for (final Genotype g : inputVC.getGenotypes()) {
List<Allele> inAlleles = g.getAlleles();
List<Allele> newGenotypeAlleles = new ArrayList<Allele>(g.getAlleles().size());
for (Allele a : inAlleles) {
if (a.isCalled()) {
if (a.isSymbolic()) {
newGenotypeAlleles.add(a);
} else {
String newBases;
if (refBaseShouldBeAppliedToEndOfAlleles)
newBases = a.getBaseString() + new String(new byte[] {refByte});
else newBases = new String(new byte[] {refByte}) + a.getBaseString();
newGenotypeAlleles.add(Allele.create(newBases, a.isReference()));
}
} else {
// add no-call allele
newGenotypeAlleles.add(Allele.NO_CALL);
}
}
genotypes.add(
new Genotype(
g.getSampleName(),
newGenotypeAlleles,
g.getLog10PError(),
g.getFilters(),
g.getAttributes(),
g.isPhased()));
}
return new VariantContextBuilder(inputVC).alleles(alleles).genotypes(genotypes).make();
} else return inputVC;
}
public String update1(
VariantContext vc1,
RefMetaDataTracker tracker,
ReferenceContext ref,
AlignmentContext context) {
nCalledLoci++;
// Note from Eric:
// This is really not correct. What we really want here is a polymorphic vs. monomorphic count
// (i.e. on the Genotypes).
// So in order to maintain consistency with the previous implementation (and the intention of
// the original author), I've
// added in a proxy check for monomorphic status here.
// Protect against case when vc only as no-calls too - can happen if we strafity by sample and
// sample as a single no-call.
if (vc1.isMonomorphicInSamples()) {
nRefLoci++;
} else {
switch (vc1.getType()) {
case NO_VARIATION:
// shouldn't get here
break;
case SNP:
nVariantLoci++;
nSNPs++;
if (vc1.getAttributeAsBoolean("ISSINGLETON", false)) nSingletons++;
break;
case MNP:
nVariantLoci++;
nMNPs++;
if (vc1.getAttributeAsBoolean("ISSINGLETON", false)) nSingletons++;
break;
case INDEL:
nVariantLoci++;
if (vc1.isSimpleInsertion()) nInsertions++;
else if (vc1.isSimpleDeletion()) nDeletions++;
else nComplex++;
break;
case MIXED:
nVariantLoci++;
nMixed++;
break;
case SYMBOLIC:
nSymbolic++;
break;
default:
throw new ReviewedStingException("Unexpected VariantContext type " + vc1.getType());
}
}
String refStr = vc1.getReference().getBaseString().toUpperCase();
String aaStr =
vc1.hasAttribute("ANCESTRALALLELE")
? vc1.getAttributeAsString("ANCESTRALALLELE", null).toUpperCase()
: null;
// if (aaStr.equals(".")) {
// aaStr = refStr;
// }
// ref aa alt class
// A C A der homozygote
// A C C anc homozygote
// A A A ref homozygote
// A A C
// A C A
// A C C
for (final Genotype g : vc1.getGenotypes()) {
final String altStr =
vc1.getAlternateAlleles().size() > 0
? vc1.getAlternateAllele(0).getBaseString().toUpperCase()
: null;
switch (g.getType()) {
case NO_CALL:
nNoCalls++;
break;
case HOM_REF:
nHomRef++;
if (aaStr != null && altStr != null && !refStr.equalsIgnoreCase(aaStr)) {
nHomDerived++;
}
break;
case HET:
nHets++;
break;
case HOM_VAR:
nHomVar++;
if (aaStr != null && altStr != null && !altStr.equalsIgnoreCase(aaStr)) {
nHomDerived++;
}
break;
case MIXED:
break;
default:
throw new ReviewedStingException("BUG: Unexpected genotype type: " + g);
}
}
return null; // we don't capture any interesting sites
}
public static VariantContext createVariantContextWithTrimmedAlleles(VariantContext inputVC) {
// see if we need to trim common reference base from all alleles
boolean trimVC;
// We need to trim common reference base from all alleles in all genotypes if a ref base is
// common to all alleles
Allele refAllele = inputVC.getReference();
if (!inputVC.isVariant()) trimVC = false;
else if (refAllele.isNull()) trimVC = false;
else {
trimVC =
(AbstractVCFCodec.computeForwardClipping(
new ArrayList<Allele>(inputVC.getAlternateAlleles()),
inputVC.getReference().getDisplayString())
> 0);
}
// nothing to do if we don't need to trim bases
if (trimVC) {
List<Allele> alleles = new ArrayList<Allele>();
GenotypesContext genotypes = GenotypesContext.create();
// set the reference base for indels in the attributes
Map<String, Object> attributes = new TreeMap<String, Object>(inputVC.getAttributes());
Map<Allele, Allele> originalToTrimmedAlleleMap = new HashMap<Allele, Allele>();
for (Allele a : inputVC.getAlleles()) {
if (a.isSymbolic()) {
alleles.add(a);
originalToTrimmedAlleleMap.put(a, a);
} else {
// get bases for current allele and create a new one with trimmed bases
byte[] newBases = Arrays.copyOfRange(a.getBases(), 1, a.length());
Allele trimmedAllele = Allele.create(newBases, a.isReference());
alleles.add(trimmedAllele);
originalToTrimmedAlleleMap.put(a, trimmedAllele);
}
}
// detect case where we're trimming bases but resulting vc doesn't have any null allele. In
// that case, we keep original representation
// example: mixed records such as {TA*,TGA,TG}
boolean hasNullAlleles = false;
for (Allele a : originalToTrimmedAlleleMap.values()) {
if (a.isNull()) hasNullAlleles = true;
if (a.isReference()) refAllele = a;
}
if (!hasNullAlleles) return inputVC;
// now we can recreate new genotypes with trimmed alleles
for (final Genotype genotype : inputVC.getGenotypes()) {
List<Allele> originalAlleles = genotype.getAlleles();
List<Allele> trimmedAlleles = new ArrayList<Allele>();
for (Allele a : originalAlleles) {
if (a.isCalled()) trimmedAlleles.add(originalToTrimmedAlleleMap.get(a));
else trimmedAlleles.add(Allele.NO_CALL);
}
genotypes.add(Genotype.modifyAlleles(genotype, trimmedAlleles));
}
final VariantContextBuilder builder = new VariantContextBuilder(inputVC);
return builder
.alleles(alleles)
.genotypes(genotypes)
.attributes(attributes)
.referenceBaseForIndel(new Byte(inputVC.getReference().getBases()[0]))
.make();
}
return inputVC;
}