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Validate interesting gene from a burden test and association studies (SkatO, etc)

Hi Everyone

If we test the cummulative effect of a group of variants in a gene (or a region) using burden test and association analysis stuff. If a gene is found very significant, should we validate all variants in the gene using sanger sequence? Doesn't seem reasonable, so what we can do to prove this finding? And also is there any further analyis we should do before any wet lab step? Like something more than pathways, genes functions,GO, etc.

Thanks

snp skat association validation burden
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updated by WouterDeCoster WouterDeCoster • written by Sharon Sharon

I have altered your title to make it more concise, and removed the bold text from your post. There is no need for that. I have also added more appropriate tags to your question. These are important because as such experts can easily find your question.

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written by WouterDeCoster WouterDeCoster

1 answer

I believe it makes sense to validate a random subset of variants, to give you an idea what the overall false positive rate is of your experiment. An important next step would be to repeat the association in an independent population.

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written by WouterDeCoster WouterDeCoster

Thanks WouterDeCoster :)

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written by Sharon Sharon

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