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  • shuang
    Senior Member
    • Jul 2011
    • 100

    #1

    what does "hetero SNP/INDEL" look like in BWA-SW+Samtools

    I'm using BWA-SW+Samtools to analyze SNP/INDEL of Sanger sequencing data. My samples may contain heterozygotes.. but not sure yet.


    Can anyone give me an example of what "hetero SNP/INDEL" looks like in an alignment output from BWA-SW and a pileup output from Samtools?
  • Heisman
    Senior Member
    • Dec 2010
    • 534

    #2
    Not sure if alignment will tell you that, but if you use SAMtools pileup the output in column 4 will tell you if it's a heterozygous or homozygous call (following this code:http://biocorp.ca/IUB.php). If you use mpileup than if AC1=1 it's heterozygous and if AC1=2 it's homozygous (for a single individual), or you can look at the GT filed in the last column (0/1 or 0|1 is heterozygous and 1/1 or 1|1 is homozygous).

    Comment

    • shuang
      Senior Member
      • Jul 2011
      • 100

      #3
      Thanks for the great information.

      However, how to interpretate when AC1=2, but GT=0/1? Below is an example from my output.


      #CHROM POS ID REF ALT QUAL FILTER INFO FORMAT 5128_RF1-1_RN1.bam
      chr_8 50762920 . T C 4.77 . DP=1;AF1=1;AC1=2;DP4=0,0,0,1;MQ=60;FQ=-30 GT:PL:GQ 0/1:33,3,0:3

      Comment

      • Heisman
        Senior Member
        • Dec 2010
        • 534

        #4
        That's a weird situation because you have 1 read, so I'm pretty sure the normal rules don't apply. Do you ever see that with 2 or more reads?

        Comment

        • shuang
          Senior Member
          • Jul 2011
          • 100

          #5
          I only pile upped 1 Sanger read at a time. Below is the actual full output for this sequence. A similar situation happens on the last INDEL, too. I do notice such confusion usually happens on a SNP with low QUAL.

          How do I retrieve correct SNP/INDEL from such outputs? Or any other solution?



          #CHROM POS ID REF ALT QUAL FILTER INFO FORMAT 5128.bam
          chr_8 50762920 . T C 4.77 . DP=1;AF1=1;AC1=2;DP4=0,0,0,1;MQ=60;FQ=-30 GT:PL:GQ 0/1:33,3,0:3
          chr_8 50763047 . T C 26 . DP=1;AF1=1;AC1=2;DP4=0,0,0,1;MQ=60;FQ=-30 GT:PL:GQ 1/1:56,3,0:6
          chr_8 50763143 . T A 26 . DP=1;AF1=1;AC1=2;DP4=0,0,0,1;MQ=60;FQ=-30 GT:PL:GQ 1/1:56,3,0:6
          chr_8 50763248 . G A 26 . DP=1;AF1=1;AC1=2;DP4=0,0,0,1;MQ=60;FQ=-30 GT:PL:GQ 1/1:56,3,0:6
          chr_8 50763265 . G T 26 . DP=1;AF1=1;AC1=2;DP4=0,0,0,1;MQ=60;FQ=-30 GT:PL:GQ 1/1:56,3,0:6
          chr_8 50763559 . c cG 3.81 . INDEL;DP=1;AF1=1;AC1=2;DP4=0,0,0,1;MQ=60;FQ=-37.5 GT:PL:GQ 0/1:39,3,0:4

          Comment

          • Heisman
            Senior Member
            • Dec 2010
            • 534

            #6
            Oh, I see. I haven't looked at Sanger sequencing in this way before so I'm not sure if relying on the quality scores is a good way to determine heterozygous from homozygous.

            Comment

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