SnpEff not labelling all LOF variants? Certain stop gained/lost or frameshift variants are not labelled as being LOF?

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5 comments

  • Comment author
    Chai Fungtammasan DNAnexus Team

    Could you elaborate your question more? Which data and what is the issue?

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  • Comment author
    Permanently deleted user

    I am working on WES data. I have a filtered VCF file that I put into SnpEff on the RAP for annotation. SNP label's a variant as potenitally having 'Loss of Function' effect according to these criteria:

     

    https://pcingola.github.io/SnpEff/se_inputoutput/#loss-of-function-lof-and-nonsense-mediated-decay-nmd-predictions

     

    However, I am finding that certain variants that SNP labels as falling under the criteria to be LOF are not being labelled as such. For example: A variant that introduces a stop codon being identified as 'HIGH' impact and as a 'stop_gained' mutation but not being labelled as LOF. I am unsure why this is, and if there is some underlying logic I am unaware of, or if the LOF labelling of SnpEff is not ideal?

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  • Comment author
    Chai Fungtammasan DNAnexus Team

    My best guess is inherited limited annotation for each DB. If you are open to try out others and integrated annotation, @Ben Busby?  has some resource that you can get started.

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  • Comment author
    Ondrej Klempir DNAnexus Team

    Downloading/Accessing a different DB for SNPeff would be a good idea.

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  • Comment author
    Ondrej Klempir DNAnexus Team

    In the past, when I worked with VCF annotation tools, I used GEMINI a lot: https://gemini.readthedocs.io/en/latest/

    It is a framework collecting many variant annotation tools and also it has a nice SQL friendly querying language. I would give it an attempt via JupyterLab or ttyd. It pretty configurable and you can download latest annotation databases (which may overcome the issue you observed).

     

    I also like wANNOVAR: https://wannovar.wglab.org/tutorial.html

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