# Compare results: dependent variable continuous vs binary

I'm using an R package to run interaction between genes using genetic markers (SNPs - single nucleotide polymorphisms). The package allows functions for phenotype (dependent variable) continuous and binary. I ran analysis once using continuous phenotype and once using binary. The output is a P-value between genes interacting.

With continuous
Gene_1-Gene_2 0.0008

With binary
Gene_1-Gene_2 8E-08

Two columns in output above - gene pair and their respective p-value.

The continuous phenotype is generating using residuals with covariates. Package doesn't allow to adjust for covariates thus I'm running analysis both ways.

Is there a way I can compare results from these two steps? Say correlation or something?