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  • goutham.atla
    Junior Member
    • Oct 2012
    • 7

    #1

    GATK HP is missing high coverage variant sites

    I am trying to use GATK HP ( v3.5 ) to call SNPs in amplicon seq data of a small genome of around 600bp. As shown in the attachment, the variants are not called between location 50 and 60, despite high coverage across many samples. ( There are total 96 samples ).



    The base qualities are above 30 and mapping quality is also 60 ( bwa mem ). I also did not remove duplicates ( not marked as well ) as its amplicon seq data.

    The command I used was ( multisample SNP calling ) :

    java -Xmx50g -jar GenomeAnalysisTK.jar -nct 2 -R<in.fasta> -T HaplotypeCaller -I merged_samples.bam -o gatk_out_raw_snps_indels.vcf --min_base_quality_score 30

    Its the same case even with base quality 20.

    Thanks in advance.
  • vivek_
    PhD Student
    • Jul 2012
    • 164

    #2
    Have you checked the default filtering parameters for SNP clusters? That looks like a lot of SNPs within a 20 base region, which also makes me question if the mapping quality of the reads spanning that region are really good.

    Comment

    • goutham.atla
      Junior Member
      • Oct 2012
      • 7

      #3
      Yes. This is a viral amplicon data, which I would expect many variants. The mapping quality is 60, as assigned by the bwa-mem and base qualities are above 30. As I did not mark duplicates, I would expect it to consider all the reads. But is there any problem with very high depth ? Like more than 5k reads per base ? Should I randomly downsample few reads ?

      Comment

      • vivek_
        PhD Student
        • Jul 2012
        • 164

        #4
        May be and there is a lot of discussion/confusion on haplotypecaller's downsampling technique as well. In general haplotypecaller has been very dicey in case of multisample calling for me even in human data.

        Comment

        • goutham.atla
          Junior Member
          • Oct 2012
          • 7

          #5
          Yeah. My initial plan was to use freebayes, but it was failing due to memory issues. Erik garrison is looking in to the issue with freebayes.

          Comment

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