Presentation: Kernel-Based Admixture Mapping
Speaker: Amarise Little, Graduate Student, UW Biostatistics
Abstract: Admixture mapping is a method of gene mapping for diseases or traits that infer differential risk or attribution by ancestry. Admixture mapping has been applied most often to African Americans who trace ancestry to Europeans and West Africans. Recent developments have extended methods to admixed populations who trace ancestry to three or more ancestral populations, e.g. Hispanic Americans. I propose (a work-in-progress) kernel regression based method for performing admixture mapping. The kernel regression framework introduces the flexibility needed to incorporate multiple data types, which may be helpful in modeling the complex underpinnings of human disease or trait inheritance.