Dr Jason Torres
- A GWAS atlas of adiposity traits in Mexicans
- An atlas of metabolomic risk factors for specific diseases and mortality in Mexicans
- Mexico City Prospective Study: mapping genetic risk factors of major non-communicable diseases (MRC-PHRU)
- Polygenic risk scores for prediction of cause-specific disease and mortality risk in Mexicans
Senior Genetic Epidemiologist
Jason Torres is a senior genetic epidemiologist in the Clinical Trial Service Unit & Epidemiological Studies Unit in the Nuffield Department of Population Health, where he leads 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 NPDH, 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.
Rare coding variants in CHRNB2 reduce the likelihood of smoking.
Rajagopal VM. et al, (2023), Nat Genet
A deep catalog of protein-coding variation in 985,830 individuals.
Sun KY. et al, (2023), bioRxiv
Loss of RREB1 in pancreatic beta cells reduces cellular insulin content and affects endocrine cell gene expression.
Mattis KK. et al, (2023), Diabetologia
Human genetics uncovers MAP3K15 as an obesity-independent therapeutic target for diabetes.
Nag A. et al, (2022), Sci Adv, 8
Multiancestry exome sequencing reveals INHBE mutations associated with favorable fat distribution and protection from diabetes.
Akbari P. et al, (2022), Nat Commun, 13