private void purgeQueue() {
final ReferenceContext refContext = queue.getFirst().ref;
// divide them up by source
while (!queue.isEmpty()) {
VCcontext context = queue.removeFirst();
for (final VariantContext vc : context.vcs) {
if (vc.getSource().equals(source1)) sourceVCs1.add(vc);
else sourceVCs2.add(vc);
}
}
writeAndPurgeAllEqualVariants(sourceVCs1, sourceVCs2, SAME_STATUS);
if (sourceVCs1.isEmpty()) {
writeAll(sourceVCs2, source2, null);
} else if (sourceVCs2.isEmpty()) {
writeAll(sourceVCs1, source1, null);
} else {
resolveByHaplotype(refContext);
}
// allow for GC of the data
sourceVCs1.clear();
sourceVCs2.clear();
}
@Test
public void testVCFHeaderSampleRenamingSingleSampleVCF() throws Exception {
final VCFCodec codec = new VCFCodec();
codec.setRemappedSampleName("FOOSAMPLE");
final AsciiLineReaderIterator vcfIterator =
new AsciiLineReaderIterator(
new AsciiLineReader(new FileInputStream(variantTestDataRoot + "HiSeq.10000.vcf")));
final VCFHeader header = (VCFHeader) codec.readHeader(vcfIterator).getHeaderValue();
Assert.assertEquals(
header.getNGenotypeSamples(), 1, "Wrong number of samples in remapped header");
Assert.assertEquals(
header.getGenotypeSamples().get(0),
"FOOSAMPLE",
"Sample name in remapped header has incorrect value");
int recordCount = 0;
while (vcfIterator.hasNext() && recordCount < 10) {
recordCount++;
final VariantContext vcfRecord = codec.decode(vcfIterator.next());
Assert.assertEquals(
vcfRecord.getSampleNames().size(),
1,
"Wrong number of samples in vcf record after remapping");
Assert.assertEquals(
vcfRecord.getSampleNames().iterator().next(),
"FOOSAMPLE",
"Wrong sample in vcf record after remapping");
}
}
private VariantContext getDbsnp(String rsID) {
if (dbsnpIterator == null) {
if (dbsnp == null)
throw new UserException.BadInput(
"No dbSNP rod was provided, but one is needed to decipher the correct indel alleles from the HapMap records");
RMDTrackBuilder builder =
new RMDTrackBuilder(
getToolkit().getReferenceDataSource().getReference().getSequenceDictionary(),
getToolkit().getGenomeLocParser(),
getToolkit().getArguments().unsafe,
getToolkit().getArguments().disableAutoIndexCreationAndLockingWhenReadingRods,
null);
dbsnpIterator =
builder
.createInstanceOfTrack(VCFCodec.class, new File(dbsnp.dbsnp.getSource()))
.getIterator();
// Note that we should really use some sort of seekable iterator here so that the search
// doesn't take forever
// (but it's complicated because the hapmap location doesn't match the dbsnp location, so we
// don't know where to seek to)
}
while (dbsnpIterator.hasNext()) {
GATKFeature feature = dbsnpIterator.next();
VariantContext vc = (VariantContext) feature.getUnderlyingObject();
if (vc.getID().equals(rsID)) return vc;
}
return null;
}
/**
* For each variant in the file, determine the phasing for the child and replace the child's
* genotype with the trio's genotype
*
* @param tracker the reference meta-data tracker
* @param ref the reference context
* @param context the alignment context
* @return null
*/
@Override
public Integer map(RefMetaDataTracker tracker, ReferenceContext ref, AlignmentContext context) {
if (tracker != null) {
for (VariantContext vc :
tracker.getValues(variantCollection.variants, context.getLocation())) {
vc = vc.subContextFromSamples(samples);
if (!vc.isPolymorphicInSamples()) continue;
double log10pSomatic = calcLog10pSomatic(vc);
// write in the somatic status probability
Map<String, Object> attrs = new HashMap<String, Object>(); // vc.getAttributes());
if (!minimalVCF) attrs.putAll(vc.getAttributes());
attrs.put(SOMATIC_LOD_TAG_NAME, log10pSomatic);
if (log10pSomatic > somaticMinLOD) {
attrs.put(VCFConstants.SOMATIC_KEY, true);
attrs.put(SOMATIC_NONREF_TAG_NAME, calculateTumorNNR(vc));
attrs.put(SOMATIC_AC_TAG_NAME, calculateTumorAC(vc));
}
final VariantContextBuilder builder = new VariantContextBuilder(vc).attributes(attrs);
VariantContextUtils.calculateChromosomeCounts(builder, false);
VariantContext newvc = builder.make();
vcfWriter.add(newvc);
}
return null;
}
return null;
}
private boolean determineAndWriteOverlap(
final VariantContext vc1, final VariantContext vc2, final String status) {
final int allelesFrom1In2 = findOverlap(vc1, vc2);
final int allelesFrom2In1 = findOverlap(vc2, vc1);
final int totalAllelesIn1 = vc1.getAlternateAlleles().size();
final int totalAllelesIn2 = vc2.getAlternateAlleles().size();
final boolean allAllelesFrom1Overlap = allelesFrom1In2 == totalAllelesIn1;
final boolean allAllelesFrom2Overlap = allelesFrom2In1 == totalAllelesIn2;
boolean thereIsOverlap = true;
if (allAllelesFrom1Overlap && allAllelesFrom2Overlap) {
writeOne(vc1, INTERSECTION_SET, status);
} else if (allAllelesFrom1Overlap) {
writeOne(vc2, INTERSECTION_SET, source1 + "IsSubsetOf" + source2);
} else if (allAllelesFrom2Overlap) {
writeOne(vc1, INTERSECTION_SET, source2 + "IsSubsetOf" + source1);
} else if (allelesFrom1In2 > 0) {
writeOne(vc1, INTERSECTION_SET, SOME_ALLELES_MATCH_STATUS);
} else if (totalAllelesIn1 > 1
|| totalAllelesIn2
> 1) { // we don't handle multi-allelics in the haplotype-based reconstruction
writeOne(vc1, INTERSECTION_SET, SAME_START_DIFFERENT_ALLELES_STATUS);
} else {
thereIsOverlap = false;
}
return thereIsOverlap;
}
private static int findOverlap(final VariantContext target, final VariantContext comparison) {
int overlap = 0;
for (final Allele allele : target.getAlternateAlleles()) {
if (comparison.hasAlternateAllele(allele)) overlap++;
}
return overlap;
}
private static void testVCsAreEqual(
final List<VariantContext> VCs1, final List<VariantContext> VCs2) {
Assert.assertEquals(VCs1.size(), VCs2.size(), "number of Variant Contexts");
for (int i = 0; i < VCs1.size(); i++) {
final VariantContext vc1 = VCs1.get(i);
final VariantContext vc2 = VCs2.get(i);
Assert.assertEquals(vc1.toStringDecodeGenotypes(), vc2.toStringDecodeGenotypes());
}
}
@Override
public VariantContext next() {
try {
final VariantContext vc = codec.decode(source);
return vc == null ? null : vc.fullyDecode(header, false);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
private Collection<VariantContext> getVariantContexts(
RefMetaDataTracker tracker, ReferenceContext ref) {
List<Feature> features = tracker.getValues(variants, ref.getLocus());
List<VariantContext> VCs = new ArrayList<VariantContext>(features.size());
for (Feature record : features) {
if (VariantContextAdaptors.canBeConvertedToVariantContext(record)) {
// we need to special case the HapMap format because indels aren't handled correctly
if (record instanceof RawHapMapFeature) {
// is it an indel?
RawHapMapFeature hapmap = (RawHapMapFeature) record;
if (hapmap.getAlleles()[0].equals(RawHapMapFeature.NULL_ALLELE_STRING)
|| hapmap.getAlleles()[1].equals(RawHapMapFeature.NULL_ALLELE_STRING)) {
// get the dbsnp object corresponding to this record (needed to help us distinguish
// between insertions and deletions)
VariantContext dbsnpVC = getDbsnp(hapmap.getName());
if (dbsnpVC == null || dbsnpVC.isMixed()) continue;
Map<String, Allele> alleleMap = new HashMap<String, Allele>(2);
alleleMap.put(
RawHapMapFeature.DELETION,
Allele.create(ref.getBase(), dbsnpVC.isSimpleInsertion()));
alleleMap.put(
RawHapMapFeature.INSERTION,
Allele.create(
(char) ref.getBase() + ((RawHapMapFeature) record).getAlleles()[1],
!dbsnpVC.isSimpleInsertion()));
hapmap.setActualAlleles(alleleMap);
// also, use the correct positioning for insertions
hapmap.updatePosition(dbsnpVC.getStart());
if (hapmap.getStart() < ref.getWindow().getStart()) {
logger.warn(
"Hapmap record at "
+ ref.getLocus()
+ " represents an indel too large to be converted; skipping...");
continue;
}
}
}
// ok, we might actually be able to turn this record in a variant context
VariantContext vc =
VariantContextAdaptors.toVariantContext(variants.getName(), record, ref);
if (vc != null) // sometimes the track has odd stuff in it that can't be converted
VCs.add(vc);
}
}
return VCs;
}
/**
* Provides the next record from the underlying iterator after applying filter strings generated
* by the set of filters in use by the iterator.
*/
@Override
public VariantContext next() {
final VariantContext ctx = this.iterator.next();
final Set<String> filterStrings = new HashSet<String>();
// Collect variant level filters
for (final VariantFilter filter : this.filters) {
final String val = filter.filter(ctx);
if (val != null) filterStrings.add(val);
}
// Collect genotype level filters in a Map of Sample -> List<filter string>
final ListMap<String, String> gtFilterStrings = new ListMap<String, String>();
final Set<String> variantSamples = new HashSet<String>();
for (final Genotype gt : ctx.getGenotypes()) {
if (gt.isCalled() && !gt.isHomRef()) variantSamples.add(gt.getSampleName());
for (final GenotypeFilter filter : gtFilters) {
final String filterString = filter.filter(ctx, gt);
if (filterString != null) gtFilterStrings.add(gt.getSampleName(), filterString);
}
}
// If all genotypes are filtered apply a site level filter
if (gtFilterStrings.keySet().containsAll(variantSamples)) {
filterStrings.add(ALL_GTS_FILTERED);
}
// Make a builder and set the site level filter appropriately
final VariantContextBuilder builder = new VariantContextBuilder(ctx);
if (filterStrings.isEmpty()) {
builder.passFilters();
} else {
builder.filters(filterStrings);
}
// Apply filters to the necessary genotypes
builder.noGenotypes();
final List<Genotype> newGenotypes = new ArrayList<Genotype>(ctx.getNSamples());
for (final Genotype gt : ctx.getGenotypes()) {
final GenotypeBuilder gtBuilder = new GenotypeBuilder(gt);
final List<String> filtersLocal = gtFilterStrings.get(gt.getSampleName());
if (filtersLocal == null || filtersLocal.isEmpty()) {
gtBuilder.filter(PASS_FILTER);
} else {
gtBuilder.filters(filtersLocal);
}
newGenotypes.add(gtBuilder.make());
}
builder.genotypes(newGenotypes);
return builder.make();
}
private VariantContext getMatchingSnpEffRecord(
List<VariantContext> snpEffRecords, VariantContext vc) {
for (VariantContext snpEffRecord : snpEffRecords) {
if (snpEffRecord.hasSameAlternateAllelesAs(vc)
&& snpEffRecord.getReference().equals(vc.getReference())) {
return snpEffRecord;
}
}
return null;
}
@Test
public void shouldPreserveSymbolicAlleleCase() {
VCFFileReader reader =
new VCFFileReader(new File(VariantBaseTest.variantTestDataRoot + "breakpoint.vcf"), false);
VariantContext variant = reader.iterator().next();
reader.close();
// VCF v4.1 s1.4.5
// Tools processing VCF files are not required to preserve case in the allele String, except for
// IDs, which are case sensitive.
Assert.assertTrue(variant.getAlternateAllele(0).getDisplayString().contains("chr12"));
}
// this method is intended to reconcile uniquified sample names
// it comes into play when calling this annotation from GenotypeGVCFs with --uniquifySamples
// because founderIds
// is derived from the sampleDB, which comes from the input sample names, but vc will have
// uniquified (i.e. different)
// sample names. Without this check, the founderIds won't be found in the vc and the annotation
// won't be calculated.
protected static Set<String> validateFounderIDs(
final Set<String> founderIds, final VariantContext vc) {
Set<String> vcSamples = new HashSet<>();
Set<String> returnIDs = founderIds;
vcSamples.addAll(vc.getSampleNames());
if (!vcSamples.isEmpty()) {
if (founderIds != null) {
vcSamples.removeAll(founderIds);
if (vcSamples.equals(vc.getSampleNames())) returnIDs = vc.getSampleNames();
}
}
return returnIDs;
}
private List<SnpEffEffect> parseSnpEffRecord(VariantContext snpEffRecord) {
List<SnpEffEffect> parsedEffects = new ArrayList<SnpEffEffect>();
Object effectFieldValue = snpEffRecord.getAttribute(SNPEFF_INFO_FIELD_KEY);
if (effectFieldValue == null) {
return parsedEffects;
}
// The VCF codec stores multi-valued fields as a List<String>, and single-valued fields as a
// String.
// We can have either in the case of SnpEff, since there may be one or more than one effect in
// this record.
List<String> individualEffects;
if (effectFieldValue instanceof List) {
individualEffects = (List<String>) effectFieldValue;
} else {
individualEffects = Arrays.asList((String) effectFieldValue);
}
for (String effectString : individualEffects) {
String[] effectNameAndMetadata = effectString.split(SNPEFF_EFFECT_METADATA_DELIMITER);
if (effectNameAndMetadata.length != 2) {
logger.warn(
String.format(
"Malformed SnpEff effect field at %s:%d, skipping: %s",
snpEffRecord.getChr(), snpEffRecord.getStart(), effectString));
continue;
}
String effectName = effectNameAndMetadata[0];
String[] effectMetadata =
effectNameAndMetadata[1].split(SNPEFF_EFFECT_METADATA_SUBFIELD_DELIMITER, -1);
SnpEffEffect parsedEffect = new SnpEffEffect(effectName, effectMetadata);
if (parsedEffect.isWellFormed()) {
parsedEffects.add(parsedEffect);
} else {
logger.warn(
String.format(
"Skipping malformed SnpEff effect field at %s:%d. Error was: \"%s\". Field was: \"%s\"",
snpEffRecord.getChr(),
snpEffRecord.getStart(),
parsedEffect.getParseError(),
effectString));
}
}
return parsedEffects;
}
private void writeDifferences(
final List<VariantContext> source1Alleles, final List<VariantContext> source2Alleles) {
int currentIndex1 = 0, currentIndex2 = 0;
final int size1 = source1Alleles.size(), size2 = source2Alleles.size();
VariantContext current1 = source1Alleles.get(0);
VariantContext current2 = source2Alleles.get(0);
while (currentIndex1 < size1 || currentIndex2 < size2) {
if (current1 == null) {
writeOne(current2, source2, null);
currentIndex2++;
current2 = (currentIndex2 < size2 ? source2Alleles.get(currentIndex2) : null);
} else if (current2 == null) {
writeOne(current1, source1, null);
currentIndex1++;
current1 = (currentIndex1 < size1 ? source1Alleles.get(currentIndex1) : null);
} else {
final GenomeLoc loc1 = getToolkit().getGenomeLocParser().createGenomeLoc(current1);
final GenomeLoc loc2 = getToolkit().getGenomeLocParser().createGenomeLoc(current2);
if (loc1.getStart() == loc2.getStart() || loc1.overlapsP(loc2)) {
String status;
if (loc1.getStart() == loc2.getStart()) {
final String allele1 = current1.getAlternateAllele(0).getBaseString();
final String allele2 = current2.getAlternateAllele(0).getBaseString();
if (allele1.indexOf(allele2) != -1 || allele2.indexOf(allele1) != -1)
status = ONE_ALLELE_SUBSET_OF_OTHER_STATUS;
else status = SAME_START_DIFFERENT_ALLELES_STATUS;
} else {
status = OVERLAPPING_EVENTS_STATUS;
}
writeOne(current1, INTERSECTION_SET, status);
currentIndex1++;
currentIndex2++;
current1 = (currentIndex1 < size1 ? source1Alleles.get(currentIndex1) : null);
current2 = (currentIndex2 < size2 ? source2Alleles.get(currentIndex2) : null);
} else if (loc1.isBefore(loc2)) {
writeOne(current1, source1, null);
currentIndex1++;
current1 = (currentIndex1 < size1 ? source1Alleles.get(currentIndex1) : null);
} else {
writeOne(current2, source2, null);
currentIndex2++;
current2 = (currentIndex2 < size2 ? source2Alleles.get(currentIndex2) : null);
}
}
}
}
protected void noteCurrentRecord(VariantContext vc) {
super.noteCurrentRecord(vc); // first, check for errors
// then, update mostUpstreamWritableLoc:
int mostUpstreamWritableIndex = vc.getStart() - maxCachingStartDistance;
this.mostUpstreamWritableLoc = Math.max(BEFORE_MOST_UPSTREAM_LOC, mostUpstreamWritableIndex);
}
@Override
protected AFCalculationResult computeLog10PNonRef(
final VariantContext vc,
final int defaultPloidy,
final double[] log10AlleleFrequencyPriors,
final StateTracker stateTracker) {
Utils.nonNull(vc, "vc is null");
Utils.nonNull(log10AlleleFrequencyPriors, "log10AlleleFrequencyPriors is null");
Utils.nonNull(stateTracker, "stateTracker is null");
final int numAlternateAlleles = vc.getNAlleles() - 1;
final List<double[]> genotypeLikelihoods = getGLs(vc.getGenotypes(), true);
final int numSamples = genotypeLikelihoods.size() - 1;
final int numChr = 2 * numSamples;
// queue of AC conformations to process
final Deque<ExactACset> ACqueue = new LinkedList<>();
// mapping of ExactACset indexes to the objects
final Map<ExactACcounts, ExactACset> indexesToACset = new HashMap<>(numChr + 1);
// add AC=0 to the queue
final int[] zeroCounts = new int[numAlternateAlleles];
final ExactACset zeroSet = new ExactACset(numSamples + 1, new ExactACcounts(zeroCounts));
ACqueue.add(zeroSet);
indexesToACset.put(zeroSet.getACcounts(), zeroSet);
while (!ACqueue.isEmpty()) {
// compute log10Likelihoods
final ExactACset set = ACqueue.remove();
calculateAlleleCountConformation(
set,
genotypeLikelihoods,
numChr,
ACqueue,
indexesToACset,
log10AlleleFrequencyPriors,
stateTracker);
// clean up memory
indexesToACset.remove(set.getACcounts());
}
return getResultFromFinalState(vc, log10AlleleFrequencyPriors, stateTracker);
}
private double log10PLFromSamples(
final VariantContext vc, final String sample, boolean calcRefP) {
Genotype g = vc.getGenotype(sample);
double log10pSample = -1000;
if (!g.isNoCall()) {
final double[] gLikelihoods = MathUtils.normalizeFromLog10(g.getLikelihoods().getAsVector());
log10pSample = Math.log10(calcRefP ? gLikelihoods[0] : 1 - gLikelihoods[0]);
log10pSample = Double.isInfinite(log10pSample) ? -10000 : log10pSample;
}
return log10pSample;
}
public Integer map(RefMetaDataTracker tracker, ReferenceContext ref, AlignmentContext context) {
if (tracker == null || !BaseUtils.isRegularBase(ref.getBase())) return 0;
Collection<VariantContext> contexts = getVariantContexts(tracker, ref);
for (VariantContext vc : contexts) {
VariantContextBuilder builder = new VariantContextBuilder(vc);
// set the appropriate sample name if necessary
if (sampleName != null && vc.hasGenotypes() && vc.hasGenotype(variants.getName())) {
Genotype g =
new GenotypeBuilder(vc.getGenotype(variants.getName())).name(sampleName).make();
builder.genotypes(g);
}
final VariantContext withID = variantOverlapAnnotator.annotateRsID(tracker, builder.make());
writeRecord(withID, tracker, ref.getLocus());
}
return 1;
}
private void writeAndPurgeAllEqualVariants(
final List<VariantContext> sourceVCs1,
final List<VariantContext> sourceVCs2,
final String status) {
int currentIndex1 = 0, currentIndex2 = 0;
int size1 = sourceVCs1.size(), size2 = sourceVCs2.size();
VariantContext current1 = (currentIndex1 < size1 ? sourceVCs1.get(currentIndex1) : null);
VariantContext current2 = (currentIndex2 < size2 ? sourceVCs2.get(currentIndex2) : null);
while (current1 != null && current2 != null) {
final GenomeLoc loc1 = getToolkit().getGenomeLocParser().createGenomeLoc(current1);
final GenomeLoc loc2 = getToolkit().getGenomeLocParser().createGenomeLoc(current2);
if (loc1.equals(loc2)
|| (loc1.getStart() == loc2.getStart()
&& (current1.getAlternateAlleles().size() > 1
|| current2.getAlternateAlleles().size() > 1))) {
// test the alleles
if (determineAndWriteOverlap(current1, current2, status)) {
sourceVCs1.remove(currentIndex1);
sourceVCs2.remove(currentIndex2);
size1--;
size2--;
} else {
currentIndex1++;
currentIndex2++;
}
current1 = (currentIndex1 < size1 ? sourceVCs1.get(currentIndex1) : null);
current2 = (currentIndex2 < size2 ? sourceVCs2.get(currentIndex2) : null);
} else if (loc1.isBefore(loc2)) {
currentIndex1++;
current1 = (currentIndex1 < size1 ? sourceVCs1.get(currentIndex1) : null);
} else {
currentIndex2++;
current2 = (currentIndex2 < size2 ? sourceVCs2.get(currentIndex2) : null);
}
}
}
private byte[] generateHaplotype(
final List<VariantContext> sourceVCs, final ReferenceContext refContext) {
final StringBuilder sb = new StringBuilder();
final int startPos = refContext.getWindow().getStart();
int currentPos = startPos;
final byte[] reference = refContext.getBases();
for (final VariantContext vc : sourceVCs) {
// add any missing reference context
int vcStart = vc.getStart();
final int refAlleleLength = vc.getReference().length();
if (refAlleleLength
== vc.getEnd()
- vc.getStart()) // this is a deletion (whereas for other events the padding base
// isn't part of the position)
vcStart++;
while (currentPos < vcStart) sb.append((char) reference[currentPos++ - startPos]);
// add the alt allele
sb.append(vc.getAlternateAllele(0).getBaseString());
// skip the reference allele
currentPos += refAlleleLength;
}
// add any missing reference context
final int stopPos = refContext.getWindow().getStop();
while (currentPos < stopPos) sb.append((char) reference[currentPos++ - startPos]);
return sb.toString().getBytes();
}
@Override
protected void doWork(String inputSource, VcfIterator r, VariantContextWriter w)
throws IOException {
VCFHeader header = r.getHeader();
VCFHeader h2 = new VCFHeader(header.getMetaDataInInputOrder(), header.getSampleNamesInOrder());
h2.addMetaDataLine(
new VCFInfoHeaderLine(
TAG,
VCFHeaderLineCount.UNBOUNDED,
VCFHeaderLineType.String,
"metadata added from " + TABIX + " . Format was " + FORMAT));
h2.addMetaDataLine(
new VCFHeaderLine(
getClass().getSimpleName() + "CmdLine", String.valueOf(getProgramCommandLine())));
h2.addMetaDataLine(
new VCFHeaderLine(getClass().getSimpleName() + "Version", String.valueOf(getVersion())));
h2.addMetaDataLine(
new VCFHeaderLine(
getClass().getSimpleName() + "HtsJdkVersion", HtsjdkVersion.getVersion()));
h2.addMetaDataLine(
new VCFHeaderLine(getClass().getSimpleName() + "HtsJdkHome", HtsjdkVersion.getHome()));
SAMSequenceDictionaryProgress progress = new SAMSequenceDictionaryProgress(header);
w.writeHeader(h2);
while (r.hasNext()) {
VariantContext ctx = progress.watch(r.next());
Set<String> annotations = new HashSet<String>();
CloseableIterator<BedLine> iter =
this.bedReader.iterator(ctx.getContig(), ctx.getStart() - 1, ctx.getEnd() + 1);
while (iter.hasNext()) {
BedLine bedLine = iter.next();
if (!ctx.getContig().equals(bedLine.getContig())) continue;
if (ctx.getStart() - 1 >= bedLine.getEnd()) continue;
if (ctx.getEnd() - 1 < bedLine.getStart()) continue;
String newannot = this.parsedFormat.toString(bedLine);
if (!newannot.isEmpty()) annotations.add(VCFUtils.escapeInfoField(newannot));
}
CloserUtil.close(iter);
if (annotations.isEmpty()) {
w.add(ctx);
continue;
}
VariantContextBuilder vcb = new VariantContextBuilder(ctx);
vcb.attribute(TAG, annotations.toArray());
w.add(vcb.make());
incrVariantCount();
if (checkOutputError()) break;
}
progress.finish();
}
private int calculateTumorNNR(final VariantContext vc) {
int nnr = 0;
switch (vc.getGenotype(tumorSample).getType()) {
case HET:
case HOM_VAR:
nnr += 1;
break;
case NO_CALL:
case UNAVAILABLE:
case HOM_REF:
break;
}
return nnr;
}
/**
* Returns a list of attribute values from a VCF file
*
* @param vcfFile VCF file
* @param attributeName attribute name
* @throws IOException if the file does not exist or can not be opened
* @return list of attribute values
*/
private List<String> getAttributeValues(final File vcfFile, final String attributeName)
throws IOException {
final VCFCodec codec = new VCFCodec();
final FileInputStream s = new FileInputStream(vcfFile);
final LineIterator lineIteratorVCF =
codec.makeSourceFromStream(new PositionalBufferedStream(s));
codec.readHeader(lineIteratorVCF);
List<String> attributeValues = new ArrayList<String>();
while (lineIteratorVCF.hasNext()) {
final String line = lineIteratorVCF.next();
Assert.assertFalse(line == null);
final VariantContext vc = codec.decode(line);
for (final Genotype g : vc.getGenotypes()) {
if (g.hasExtendedAttribute(attributeName)) {
attributeValues.add((String) g.getExtendedAttribute(attributeName));
}
}
}
return attributeValues;
}
private int calculateTumorAC(final VariantContext vc) {
int ac = 0;
switch (vc.getGenotype(tumorSample).getType()) {
case HET:
ac += 1;
break;
case HOM_VAR:
ac += 2;
break;
case NO_CALL:
case UNAVAILABLE:
case HOM_REF:
break;
}
return ac;
}
@Override
public Map<String, Object> annotate(
final RefMetaDataTracker tracker,
final AnnotatorCompatible walker,
final ReferenceContext ref,
final Map<String, AlignmentContext> stratifiedContexts,
final VariantContext vc,
final Map<String, PerReadAlleleLikelihoodMap> stratifiedPerReadAlleleLikelihoodMap) {
final GenotypesContext genotypes = vc.getGenotypes();
if (genotypes == null || genotypes.size() < MIN_SAMPLES) {
if (!warningLogged) {
logger.warn("Too few genotypes");
warningLogged = true;
}
return null;
}
int refCount = 0;
int hetCount = 0;
int homCount = 0;
for (final Genotype g : genotypes) {
if (g.isNoCall()) continue;
// TODO - fix me:
// Right now we just ignore genotypes that are not confident, but this throws off
// our HW ratios. More analysis is needed to determine the right thing to do when
// the genotyper cannot decide whether a given sample is het or hom var.
if (g.getLog10PError() > MIN_LOG10_PERROR) continue;
if (g.isHomRef()) refCount++;
else if (g.isHet()) hetCount++;
else homCount++;
}
if (refCount + hetCount + homCount == 0) return null;
double pvalue = HardyWeinbergCalculation.hwCalculate(refCount, hetCount, homCount);
// System.out.println(refCount + " " + hetCount + " " + homCount + " " + pvalue);
Map<String, Object> map = new HashMap<>();
map.put(getKeyNames().get(0), String.format("%.1f", QualityUtils.phredScaleErrorRate(pvalue)));
return map;
}
private void writeRecord(VariantContext vc, RefMetaDataTracker tracker, GenomeLoc loc) {
if (!wroteHeader) {
wroteHeader = true;
// setup the header fields
Set<VCFHeaderLine> hInfo = new HashSet<VCFHeaderLine>();
hInfo.addAll(GATKVCFUtils.getHeaderFields(getToolkit(), Arrays.asList(variants.getName())));
hInfo.add(VCFStandardHeaderLines.getFormatLine(VCFConstants.GENOTYPE_KEY));
allowedGenotypeFormatStrings.add(VCFConstants.GENOTYPE_KEY);
for (VCFHeaderLine field : hInfo) {
if (field instanceof VCFFormatHeaderLine) {
allowedGenotypeFormatStrings.add(((VCFFormatHeaderLine) field).getID());
}
}
samples = new LinkedHashSet<String>();
if (sampleName != null) {
samples.add(sampleName);
} else {
// try VCF first
samples =
SampleUtils.getSampleListWithVCFHeader(getToolkit(), Arrays.asList(variants.getName()));
if (samples.isEmpty()) {
List<Feature> features = tracker.getValues(variants, loc);
if (features.size() == 0)
throw new IllegalStateException(
"No rod data is present, but we just created a VariantContext");
Feature f = features.get(0);
if (f instanceof RawHapMapFeature)
samples.addAll(Arrays.asList(((RawHapMapFeature) f).getSampleIDs()));
else samples.addAll(vc.getSampleNames());
}
}
vcfwriter.writeHeader(new VCFHeader(hInfo, samples));
}
vc = GATKVariantContextUtils.purgeUnallowedGenotypeAttributes(vc, allowedGenotypeFormatStrings);
vcfwriter.add(vc);
}
@Override
public Map<String, Object> annotate(
final RefMetaDataTracker tracker,
final AnnotatorCompatible walker,
final ReferenceContext ref,
final Map<String, AlignmentContext> stratifiedContexts,
final VariantContext vc,
final Map<String, PerReadAlleleLikelihoodMap> stratifiedPerReadAlleleLikelihoodMap) {
// Can only call from UnifiedGenotyper
if (!(walker instanceof UnifiedGenotyper)) {
if (!walkerIdentityCheckWarningLogged) {
if (walker != null)
logger.warn(
"Annotation will not be calculated, must be called from UnifiedGenotyper, not "
+ walker.getClass().getName());
else logger.warn("Annotation will not be calculated, must be called from UnifiedGenotyper");
walkerIdentityCheckWarningLogged = true;
}
return null;
}
if (stratifiedContexts.isEmpty()) return null;
// not meaningful when we're at an indel location: deletions that start at location N are by
// definition called at the position N-1, and at position N-1
// there are no informative deletions in the pileup
if (!vc.isSNP()) return null;
int deletions = 0;
int depth = 0;
for (Map.Entry<String, AlignmentContext> sample : stratifiedContexts.entrySet()) {
for (final PileupElement p : sample.getValue().getBasePileup()) {
depth++;
if (p.isDeletion()) deletions++;
}
}
Map<String, Object> map = new HashMap<>();
map.put(
getKeyNames().get(0),
String.format("%.2f", depth == 0 ? 0.0 : (double) deletions / (double) depth));
return map;
}
private void addVariant(final VariantContext ctx) {
if (!ctx.getChr().equals(genes.get(0).getChromosome())) return;
if (ctx.getStart() >= chromEnd) return;
if (ctx.getStart() < chromStart) return;
positions.add(ctx.getStart());
for (String sample : ctx.getSampleNames()) {
Genotype g = ctx.getGenotype(sample);
if (!g.isAvailable()) continue;
if (!g.isCalled()) continue;
if (g.isNoCall()) continue;
if (g.isNonInformative()) continue;
Set<Integer> set = sample2positions.get(sample);
if (set == null) {
set = new HashSet<Integer>();
sample2positions.put(sample, set);
}
set.add(ctx.getStart());
}
}
@Override
public void accumulate(final VariantContext ctx) {
logger.record(ctx.getContig(), ctx.getStart());
final String variantChrom = ctx.getContig();
final int variantPos = ctx.getStart();
// Skip anything a little too funky
if (ctx.isFiltered()) return;
if (!ctx.isVariant()) return;
if (SKIP_CHROMS.contains(variantChrom)) return;
for (final MendelianViolationMetrics trio : trios) {
final Genotype momGt = ctx.getGenotype(trio.MOTHER);
final Genotype dadGt = ctx.getGenotype(trio.FATHER);
final Genotype kidGt = ctx.getGenotype(trio.OFFSPRING);
// if any genotype:
// - has a non-snp allele; or
// - lacks a reference allele
//
// then ignore this trio
if (CollectionUtil.makeList(momGt, dadGt, kidGt)
.stream()
.anyMatch(
gt ->
gt.isHetNonRef()
|| Stream.concat(Stream.of(ctx.getReference()), gt.getAlleles().stream())
.anyMatch(a -> a.length() != 1 || a.isSymbolic()))) {
continue;
}
// if between the trio there are more than 2 alleles including the reference, continue
if (Stream.concat(
Collections.singleton(ctx.getReference()).stream(),
CollectionUtil.makeList(momGt, dadGt, kidGt)
.stream()
.flatMap(gt -> gt.getAlleles().stream()))
.collect(Collectors.toSet())
.size()
> 2) continue;
// Test to make sure:
// 1) That the site is in fact variant in the trio
// 2) that the offspring doesn't have a really wacky het allele balance
if (!isVariant(momGt, dadGt, kidGt)) continue;
if (kidGt.isHet()) {
final int[] ad = kidGt.getAD();
if (ad == null) continue;
final List<Integer> adOfAlleles =
kidGt
.getAlleles()
.stream()
.map(a -> ad[ctx.getAlleleIndex(a)])
.collect(Collectors.toList());
final double minAlleleFraction =
Math.min(adOfAlleles.get(0), adOfAlleles.get(1))
/ (double) (adOfAlleles.get(0) + adOfAlleles.get(1));
if (minAlleleFraction < MIN_HET_FRACTION) continue;
}
///////////////////////////////////////////////////////////////
// Determine whether the offspring should be haploid at this
// locus and which is the parental donor of the haploid genotype
///////////////////////////////////////////////////////////////
boolean haploid = false;
Genotype haploidParentalGenotype = null;
if (FEMALE_CHROMS.contains(variantChrom) && trio.OFFSPRING_SEX != Sex.Unknown) {
if (trio.OFFSPRING_SEX == Sex.Female) {
// famale
haploid = false;
} else if (isInPseudoAutosomalRegion(variantChrom, variantPos)) {
// male but in PAR on X, so diploid
haploid = false;
} else {
// male, out of PAR on X, haploid
haploid = true;
haploidParentalGenotype = momGt;
}
}
// the PAR on the male chromosome should be masked so that reads
// align to the female chromosomes instead, so there's no point
// of worrying about that here.
if (MALE_CHROMS.contains(variantChrom)) {
if (trio.OFFSPRING_SEX == Sex.Male) {
haploid = true;
haploidParentalGenotype = dadGt;
} else {
continue;
}
}
// We only want to look at sites where we have high enough confidence that the genotypes we
// are looking at are
// interesting. We want to ensure that parents are always GQ>=MIN_GQ, and that the kid is
// either GQ>=MIN_GQ or in the
// case where kid is het that the phred-scaled-likelihood of being reference is >=MIN_GQ.
if (haploid
&& (haploidParentalGenotype.isNoCall() || haploidParentalGenotype.getGQ() < MIN_GQ))
continue;
if (!haploid
&& (momGt.isNoCall()
|| momGt.getGQ() < MIN_GQ
|| dadGt.isNoCall()
|| dadGt.getGQ() < MIN_GQ)) continue;
if (kidGt.isNoCall()) continue;
if (momGt.isHomRef() && dadGt.isHomRef() && !kidGt.isHomRef()) {
if (kidGt.getPL()[0] < MIN_GQ) continue;
} else if (kidGt.getGQ() < MIN_GQ) continue;
// Also filter on the DP for each of the samples - it's possible to miss hets when DP is too
// low
if (haploid && (kidGt.getDP() < MIN_DP || haploidParentalGenotype.getDP() < MIN_DP)) continue;
if (!haploid && (kidGt.getDP() < MIN_DP || momGt.getDP() < MIN_DP || dadGt.getDP() < MIN_DP))
continue;
trio.NUM_VARIANT_SITES++;
///////////////////////////////////////////////////////////////
// First test for haploid violations
///////////////////////////////////////////////////////////////
MendelianViolation type = null;
if (haploid) {
if (kidGt.isHet()) continue; // Should not see heterozygous calls at haploid regions
if (!haploidParentalGenotype.getAlleles().contains(kidGt.getAllele(0))) {
if (kidGt.isHomRef()) {
type = MendelianViolation.Haploid_Other;
trio.NUM_HAPLOID_OTHER++;
} else {
type = MendelianViolation.Haploid_Denovo;
trio.NUM_HAPLOID_DENOVO++;
}
}
}
///////////////////////////////////////////////////////////////
// Then test for diploid mendelian violations
///////////////////////////////////////////////////////////////
else if (isMendelianViolation(momGt, dadGt, kidGt)) {
if (momGt.isHomRef() && dadGt.isHomRef() && !kidGt.isHomRef()) {
trio.NUM_DIPLOID_DENOVO++;
type = MendelianViolation.Diploid_Denovo;
} else if (momGt.isHomVar() && dadGt.isHomVar() && kidGt.isHet()) {
trio.NUM_HOMVAR_HOMVAR_HET++;
type = MendelianViolation.HomVar_HomVar_Het;
} else if (kidGt.isHom()
&& ((momGt.isHomRef() && dadGt.isHomVar()) || (momGt.isHomVar() && dadGt.isHomRef()))) {
trio.NUM_HOMREF_HOMVAR_HOM++;
type = MendelianViolation.HomRef_HomVar_Hom;
} else if (kidGt.isHom()
&& ((momGt.isHom() && dadGt.isHet()) || (momGt.isHet() && dadGt.isHom()))) {
trio.NUM_HOM_HET_HOM++;
type = MendelianViolation.Hom_Het_Hom;
} else {
trio.NUM_OTHER++;
type = MendelianViolation.Other;
}
}
// Output a record into the family's violation VCF
if (type != null) {
// Create a new Context subsetted to the three samples
final VariantContextBuilder builder = new VariantContextBuilder(ctx);
builder.genotypes(
ctx.getGenotypes()
.subsetToSamples(CollectionUtil.makeSet(trio.MOTHER, trio.FATHER, trio.OFFSPRING)));
builder.attribute(MENDELIAN_VIOLATION_KEY, type.name());
// Copy over some useful attributes from the full context
if (ctx.hasAttribute(VCFConstants.ALLELE_COUNT_KEY))
builder.attribute(ORIGINAL_AC, ctx.getAttribute(VCFConstants.ALLELE_COUNT_KEY));
if (ctx.hasAttribute(VCFConstants.ALLELE_FREQUENCY_KEY))
builder.attribute(ORIGINAL_AF, ctx.getAttribute(VCFConstants.ALLELE_FREQUENCY_KEY));
if (ctx.hasAttribute(VCFConstants.ALLELE_NUMBER_KEY))
builder.attribute(ORIGINAL_AN, ctx.getAttribute(VCFConstants.ALLELE_NUMBER_KEY));
// Write out the variant record
familyToViolations.get(trio.FAMILY_ID).add(builder.make());
}
}
}
