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  • graubner277
    Junior Member
    • Oct 2015
    • 2

    #1

    Strange VAF distribution across SNP positions in WGS sample

    Hi everyone,

    I have a germline sample that underwent whole genome sequencing at 30x on Illumina Hiseq. After extracting the VAFs at all 1000 Genomes SNP positions, it seems that the data is strangely noisy.

    - If you plot a histogram of VAFs from normal samples, you would expect a peak at 0.5 for heterozygous variants and 1.0 for homozygous variants, with some sort of distribution in between for sequencing noise. However, in this sample there is almost a uniform distribution from 0 to 0.8 and a peak at 1.0 (see attached figure).

    - This is also reflected when I plot the VAFs at these SNPs from the germline sample (in blue) and a matched tumor sample (in red). In a normal-looking sample, the blue dots should cluster around 0.5 on the y-axis, and the red dots separate where there is a CNV. In this weird sample, you can see that the blue dots basically do not cluster around any VAF, whereas the matched tumor sample looks fine.

    I've compared this sample with other samples, and there is no significant difference in coverage, insert size, GC content, ACGT content, indels, base quality or mismatch distributions. Anyone have any idea what might give rise to such noisy data or anyone seen a similar case before? Thanks!
    Attached Files
  • Bukowski
    Senior Member
    • Jan 2010
    • 388

    #2
    Do you have more SNP calls in your 'weird' sample?

    Contamination perhaps?

    Comment

    • graubner277
      Junior Member
      • Oct 2015
      • 2

      #3
      The number of SNP calls was similar to others as well, so was the Ti/TV, Het/Hom ratio, % in dbSNP, % in Genes etc. I did not notice the noise from any of the sequencing QC statistics or SNP calls until I did a plot of the VAFs.

      I was wondering if it was perhaps contaminated with another sample, but I felt that there would be bands or multiple VAF peaks if there was say 1 other sample. It would have to be many samples together to get such a VAF distribution I think? And this is the only sample I have out of 30 that looks like that.

      Comment

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