Here, we apply association rule mining (ARM), a data mining approach that identifies frequent patterns which are used to generate association rules, to genetic data for HLA-DRB1*15:01, HLA-A*02:01, and the higher-frequency non-MHC risk variants in an exploratory effort to identify higher order relationships that contribute to MS susceptibility and add resolution to MS’ missing heritability in non-Latinx whites. The gene discussed is HLA-A; the disease is myeloid sarcoma.