Prioritize SNPs based on gene expression in multiple tissues

Question

[kakukeshi]

Hi all,

I have a list of genes whose decreased expression is associated with a disease. Now, I want to use GTEx data to identify SNPs associated with a decrease in gene expression for those genes in multiple tissues.

One idea that I have is to consider just the NES values (slope) (not the p-values) and then collect the SNPs with a negative slope in more than 90% of the tissues. Does this make sense? Do you know any method already implemented for this?

Many thanks