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External Resources:

Matteo D’Antonio, Ph.D.

Assistant Professor in the Department of Medicine

Email: madantonio@ucsd.edu

Pathways/processes: Genome-wide association studies, polygenic risk scores, HLA typing
Teams/Collaborations: CAST (https://admixgenomics.ucsd.edu/), Melissa Gymrek, Kelly Frazer
Approaches: statistical genetics, bioinformatics

Our goal is to improve polygenic risk scores (PRS) for admixed individuals and diverse populations. We work on developing novel methods to perform genome-wide associations studies (GWAS) in multiple populations and admixed individuals. We are also interested in the associations of HLA types with disease and in their potential use for improving PRS calculation.