lifebit-ai / gwas

GWAS pipeline using SAIGE
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Adds Genetic correlation and heritability analysis within the pipeline #57

Closed mcamarad closed 4 years ago

mcamarad commented 4 years ago

Summary:

Adds the option of running heritability with the GWAS summary statistics as well as computing the genetic correlation between your trait of interest and a second trait with GWAS summary statistics imported by the user.

Refactors report to be able to include results from this analysis.

Tasks:

Comments:

  1. Results in tests might look weird because I used the same test data with different traits. Might need to find a better dataset suited for this.

Test in Lifebit CloudOS

https://cloudos.lifebit.ai/app/jobs/5f8d6aac8f817101130e3607

mcamarad commented 4 years ago

As agreed, integration to report from LDSC output was changed and now it points the user towards looking the actual document generated by the LDSC package. In future iterations we will explore how to integrate and beautify the report so we can fit in in the document.

Ready for round 2 @cgpu !! ๐Ÿš€ ๐Ÿ™

mcamarad commented 4 years ago

Thanks @cgpu for the really nice feedback! ๐Ÿ˜ƒ I added the changes and they should be being tested right now in CloudOS: https://cloudos.lifebit.ai/app/jobs/5f8fd8a68f8171011311b209

mcamarad commented 4 years ago

Thanks a lot for the great feedback and suggestions @cgpu ! :tada: Looking forward to implementing those future improvements! ๐Ÿš€