While for very low counts, one can observe discreteness and non-uniformity of p under the null hypothesis, DESeq2 does not use the distribution of p in its estimation procedure – for example, DESeq2 does not estimate the proportion of null genes using the distribution of p – so this kind of dependence of p on μ does not lead to increased type-I error.
