Computational Methods for the Identification of Disease-Genotype Associations

We develop computational methods that aid in the analysis of genome-wide association studies, or other studies that involve the inference of a relation between a genetic variant such as an SNP or a copy-number variant (CNV), with a given phenotype that was measured for the studied population. These methods include haplotype inference methods, ancestry inference methods, and the incorporation of these in a statistical or machine-learning framework that is used to test for an association of a genetic marker with a phenotype.