Hi folks—I am looking for ideas on a curious effect I’m seeing after running a linear regression in Hail. To be clear, I’m not sure whether this is due to something inherent in the data, linear regression, or possibly how regression is implemented in Hail. I used
GT.n_alt_alleles() as the predictor variable (among other covariates) and serum phosphate level as the response variable. I see “bands” of p-values in the volcano plot:
And the distributions of betas and p-values looks, I think, as they should:
Any ideas what could be going on?