Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • mozack
    Junior Member
    • Jun 2013
    • 8

    Genotyping longer indels

    Hello,

    Does anyone have tips for genotyping longer indels? I have a test BAM that contains a 316 base deletion. I've been unable to get this deletion called using UnifiedGenotyper, HaplotypeCaller or samtools / bcftools. I've tried a variety of options in each, but here are some examples:

    java -Xmx4G -jar GenomeAnalysisTK.jar -R GRCh37-lite.fa -T UnifiedGenotyper -I small_test.bam -o raw.vcf --genotype_likelihoods_model INDEL -rf BadCigar -L 11:7714903-7718903 --max_deletion_fraction 2 -stand_emit_conf 1.0

    java -Xmx4G -jar GenomeAnalysisTK.jar -T HaplotypeCaller -R GRCh37-lite.fa -I small_test.bam -L 11:7714903-7718903 -o hc.abra.vcf

    samtools mpileup -B -u -f GRCh37-lite.fa small_test.bam | bcftools view -vcg - > raw.samtools.vcf

    Looking at the mpileup output, the deletion is clearly there and always appears at the same position. Base qualities surrounding the deletion are high as are the mapping qualities. An IGV screenshot is attached.

    The Isaac Variant Caller (starling) does call this deletion. However the called allele depth is extremely low (the indel is observed in 123 reads).

    11 7716903 . TAAGAATGGATGAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACGAGGTCAGGAGATCGAGACCATCCCGGCTAAAACGGTGAAACCCCGTCTCTACTAAAAATACAAAAAATTAGCCGGGCGTGGTGGCGGGCGCCTGTAGTCCCAGCTACTTGGGAGGCTGAGGCAGGAGAATGGCGTGAACCCGAGAGGCGGAGCTTGCAGTGAGCCGAGATCCCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAAAAAAAAAAAAAAAAAAA T 624 PASS CIGAR=1M316D;RU=.;REFREP=1;IDREP=0 GT:GQ:GQXPI:AD 1/1:62:59:119:0,13


    Is anyone aware of tweaks that can be made to the above callers to handle this case properly? Are there other good software alternatives out there?

    Thanks!
    Attached Files
  • swbarnes2
    Senior Member
    • May 2008
    • 910

    #2
    Short read technology is always going to have a hard time with deletions like that.

    If you provide the aligner with both alleles, then the aligner will correctly assign the reads to the right alleles.

    That looks like an intron, not a deletion. Is that RNAseq data?

    Comment

    • mozack
      Junior Member
      • Jun 2013
      • 8

      #3
      Yes, I understand that longer deletions are difficult for short read technology. However, IMHO the heavy lifting has already been done for this case. The alignments clearly reflect the deletion.

      This test case already includes both alleles. Isaac correctly reports a genotype of 1/1. However the allele count is a rather low 13. I would expect it to be closer to the number of reads containing the deletion.

      This is DNA data.

      Thanks...

      Comment

      • mozack
        Junior Member
        • Jun 2013
        • 8

        #4
        Here's a little more info in case anyone else is interested:

        HaplotypeCaller does call this deletion (once activeRegionMaxSize is increased - thanks to the GATK team for the tip). However, it also calls 2 other large deletions that appear to be in conflict with the expected deletion.

        FreeBayes calls this deletion with accurate allele depth and no conflicting calls:

        11 7716903 . TAAGAATGGATGAGGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACGAGGTCAGGAGATCGAGACCATCCCGGCTAAAACGGTGAAACCCCGTCTCTACTAAAAATACAAAAAATTAGCCGGGCGTGGTGGCGGGCGCCTGTAGTCCCAGCTACTTGGGAGGCTGAGGCAGGAGAATGGCGTGAACCCGAGAGGCGGAGCTTGCAGTGAGCCGAGATCCCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAAAAAAAAAAAAAAAAAAA T 2113.61 . AB=0;ABP=0;AC=2;AF=1;AN=2;AO=122;CIGAR=1M316D;DP=122;DPB=5.9434;DPRA=0;EPP=3.29508;EPPR=0;GTI=0;HWE=-0;LEN=316;MEANALT=1;MQM=59.4262;MQMR=0;NS=1;NUMALT=1;ODDS=172.347;PAIRED=0.114754;PAIREDR=0;PAO=4.5;PQA=171.5;PQR=3404.5;PRO=90.5;QA=2780;QR=0;RO=0;RPP=267.93;RPPR=0;RUN=1;SAP=3.29508;SRP=0;TYPE=del;XAI=0.010374;XAM=0.0213936;XAS=0.0110196;XRI=0;XRM=0;XRS=0;technology.illumina=1;BVAR GTP:RO:QR:AO:QA:GL 1/1:122:0:0:122:2780:-5,-5,0

        Comment

        • m_two
          Member
          • Mar 2010
          • 50

          #5
          Use pindel: http://tvap.genome.wustl.edu/tools/pindel/

          Here is a related publication



          Detection of FLT3 internal tandem duplication in targeted, short-read-length, next-generation sequencing data.

          Comment

          Latest Articles

          Collapse

          • SEQadmin2
            Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
            by SEQadmin2



            Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
            ...
            Yesterday, 11:10 AM
          • SEQadmin2
            Cancer Drug Resistance: The Lingering Barrier to Rising Survival
            by SEQadmin2



            Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

            There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
            07-08-2026, 05:17 AM
          • GATTACAT
            Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
            by GATTACAT
            Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
            07-01-2026, 11:43 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, Yesterday, 10:04 AM
          0 responses
          10 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-08-2026, 10:08 AM
          0 responses
          7 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-07-2026, 11:05 AM
          0 responses
          14 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-02-2026, 11:08 AM
          0 responses
          31 views
          0 reactions
          Last Post SEQadmin2  
          Working...