Dr Jason Torres
Contact information
Research groups
- A GWAS atlas of adiposity traits in Mexicans
- A phenome-wide study of ancestry-specific genetic heterogeneity in an admixed Mexican population
- Adiposity associated mechanisms for specific diseases in Mexican adults
- An atlas of metabolomic risk factors for specific diseases and mortality in Mexicans
- An integrated atlas of adiposity traits in Mexican adults
- Genetic and environmental factors for premature mortality in contrasting populations
- Integrated epidemiological, pharmacologic, omic and genetic profiles in Mexicans
- Leveraging genetic admixture and relatedness to advance rare variant discovery in the Mexico City Prospective Study
- Polygenic risk scores for prediction of cause-specific disease and mortality risk in Mexicans
- Polygenic risk scores for prediction of specific diseases and mortality risk in Mexicans
- Risk of common cancers in diverse populations
Jason Torres
PhD
Senior Genetic Epidemiologist
Jason Torres is a senior genetic epidemiologist in the Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU) leading genetic analyses of the Mexico City Prospective Study.
He analyses large-scale genetic data (i.e. genome-wide array, WGS, WES) with the aim of identifying genetic risk factors for complex diseases such as type 2 diabetes and related cardiometabolic traits.
Through fine-mapping and data integrative methods, Jason elucidates underlying biological processes that mediate genetic susceptibility to disease onset and progression.
Moreover, he leverages genetic information to construct and evaluate polygenic risk scores and to facilitate inference of causal risk factors through Mendelian randomisation.
Jason received his PhD at the University of Chicago where he conducted genome-wide association studies and heritability estimation.
Before joining Oxford Population Health, he worked at the Wellcome Centre for Human Genetics in Oxford as a postdoctoral research fellow where he integrated genetic fine-mapping data with functional genomic and molecular epigenomic features to resolve causal genes and relevant tissues at loci associated with type 2 diabetes.