This research focuses on utilizing population genomic approaches to understand the differential incidence and outcome of various pediatric cancers among ethnic groups. It primarily uses computationally intense algorithms for the inference of local ancestry along the chromosomes of admixed populations in search of regions demonstrating an association between local ancestry and disease state (i.e. admixture mapping). Furthermore, classical population genomic approaches are applied to understand the evolutionary history of these putative disease loci, utilizing the large amount of publicly available human genome data (e.g. the 1000 Genomes Project).