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  • dan
    wiki wiki
    • Jul 2008
    • 194

    Variation calling, pool samples or not?

    I seem to remember from talks and manuals that it's good practice to pool reads from all available samples when calling (per-sample) variations, as the added depth improves call statistics.

    Can anyone point me at literature or discussion on this specific point, as I can't find anything concrete.


    Cheers,
    Dan.
    Homepage: Dan Bolser
    MetaBase the database of biological databases.
  • severin
    Genome Informatics Facility
    • Sep 2009
    • 105

    #2
    GATK best practices

    Originally posted by dan View Post
    I seem to remember from talks and manuals that it's good practice to pool reads from all available samples when calling (per-sample) variations, as the added depth improves call statistics.

    Can anyone point me at literature or discussion on this specific point, as I can't find anything concrete.


    Cheers,
    Dan.
    I was literally just reading about that here.



    Though not sure what is recommended for the Haplotype Caller as it is still a little experimental.

    Comment

    • dan
      wiki wiki
      • Jul 2008
      • 194

      #3
      Nice link. It's very clear, but there isn't much detail, i.e. Why are samples called together?

      Not surprised that haplotype calling is up in the air ;-)


      Cheers,
      Homepage: Dan Bolser
      MetaBase the database of biological databases.

      Comment

      • dan
        wiki wiki
        • Jul 2008
        • 194

        #4
        Here is a good answer :-)
        Homepage: Dan Bolser
        MetaBase the database of biological databases.

        Comment

        • dgscofield
          Member
          • Nov 2010
          • 28

          #5
          Especially if you're after allele frequency spectra, estimators are generally better for pooled samples. The 2010 Genetics article by Futschik and Schlötterer will get you started.

          One common-sense statistical issue for calling SNPs in individuals is that there are stochastic allele-specific coverage biases up and down around expected coverage for any sample, nothing you can do about that. Pooling samples reduces the influence of this error term relative to the detection threshold for reasonably-frequent alleles. If there is weak evidence for a SNP in a single individual considered alone but that same SNP is segregating at reasonable frequency within the population, that prior knowledge strengthens the evidence for the SNP in the individual.

          Comment

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