I made a easy to use screening method for larger variant dataset

Hi everyone,

I am a PhD student working on GWAS-related research. In this field, we often generate a large number of variant-phenotype associations. However, these variants are mostly located in non-coding regions, which makes it hard to investigate the mechanism of how these variants work.

And Alphagenome jumps out, this tool is very useful for predicting the possible effect of a particular variant. And I started to apply it to my projects. These days, I came up with a very easy window screening method to quickly scan the significant fold changes as a result of variants (from point mutation to indels). I hereby invit everyone to test this method and provide some feedback on this project.

I have uploaded the code to Github: https://github.com/Mirror-fish/AlphaGenome-Variant-Expression-Scanner. The usage and description are provided.

There are still some questions not solved, and I’m still working on it. Anyway, please come try it!

Jingyu

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