I am running some omics experiments where I compare a treated and an untreated condition. In order to compare them, I am computing a t-test and my output are fold changes and p-values. In this dataset, I only have very vew changes (this is to be expected for this dataset) but I would still like to run p-value adjustment to properly control my false-discovery-rate.

The usual adjustment I run is Benjamini-Hochberg correction. However, in this case the criteria for BH adjustment are not fulfilled, as my p-value histogram shows a flat distribution (no flank to the left for low p-values).

How do I still perform proper FDR control for these cases? Do you maybe have any advice?

Thanks in advance for your help!