The most notable results are for CAD, where the transformer is able to identify over 20 SNPS related to the BRINP3 (FAM5C) gene and 13 SNPs for the LDB2 gene, both of which have individual correlation to CAD, and for RA, as only 2 SNPs for HLA-DQA1 exist in the WTCCC dataset and the transformer is able to identify both within the selected top SNPs. Here, BRINP3 is linked to coronary artery disorder.