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As they are returned, evaluate other general quality metrics from GP and DSP, for things like contamination and coverage and any/other picard metrics. Will update this ticket as I learn more about what will be delivered!
The text was updated successfully, but these errors were encountered:
So we created an accidental natural experiment for this in seqr because one of the Gregor sites loaded a DRAGEN VCF with all the data we had submitted to Gregor, including many RGP families. Yesterday I spot checked a discovery variant Stephanie found in an RGP family and found that while in our GATK callset it had a GQ of 99, in the DRAGEN callset it has a GQ of 33: https://seqr.broadinstitute.org/summary_data/variant_lookup?genomeVersion=38&variantId=18-35067754-A-G
Looking into the research you did here, it looks like the histogram for GQ values looks really similar for the DRAGEN and GATK data, in that they both have a huge spike around 40 and a smaller spike around 100. However, I wonder if theres a difference in the distributions if we break it down a bit differently. Could you run a couple other comparions for GQ distribution with the following adjustments:
Remove the X chromosome - Stephanie mentioned that in GATK males on the X chromosome have a ton of GQs between 30 and 40m so that might be skewing our numbers
Look at the GQ distribution for non-ref calls only, to see if tehres any difference there
Its possible that it was just bad luck and I happened to spot check the one example variant where the GQ dropped off like this, but I would really want to confirm this isn't a sign of something more severe
As they are returned, evaluate other general quality metrics from GP and DSP, for things like contamination and coverage and any/other picard metrics. Will update this ticket as I learn more about what will be delivered!
The text was updated successfully, but these errors were encountered: