Today we are starting to fulfill the promise of genomics for personalized medicine and healthcare. Interestingly, and for a variety of reasons publicly funded databases continue to miss a vast portion of the world's genetic variation . As of January 2018, the GWAS catalog has registered 78% of individuals from European ancestry while underrepresented populations make up less than 4% including African (2.4%), Hispanic or Latin American (1.3%) and Native American (0.03%). The sampling bias is referred to as the genomics research gap and has the potential to exacerbate existing health disparities among underrepresented and underserved populations. Populations underrepresented in Biomedical Research bear a disproportionate burden for many diseases, including diabetes type 2. This is particularly true for Native American communities in the US, who have among the lowest levels of participation in genomic studies seen for any ethnic group. Genomic studies must be more representative of all populations so that all people can benefit from the upcoming genomic revolution in healthcare. We are interested in studying how combinations of genetic ancestry in admixed Latin American populations may impact genomic determinants of health and disease. We have found ancestry-enriched SNPs in Latin American populations having a substantial effect on health- and disease-related phenotypes.