CHEERS is a statistical method that accounts for subtle changes in the chromatin landscape to identify SNP enrichment across cell states.

Rather than converting annotations into a binary measure of present/absent at the SNP level (for which they found there were not many cell state specific changes in H3K27ac and ATAC-seq data), they model the peak properties.