Stratified LD score regression is based on the assumption that the per-normalized-genotype effect size of a SNP is drawn i.i.d. with mean zero, conditioned on functional annotation. So if allele frequency bins are not included as annotations in the model, then we are assuming that per-allele effect sizes have variance proportional to (p(1−p))−1 for allele frequency p.
