Jorge Esparza-Gordillo

The paper evaluates the transportability of in-vitro gene perturbation models to in-vivo human phenotypes using CRISPR data and UK Biobank, finding some models are predictive while others are not.

The paper maps eQTLs during T cell activation and identifies immune disease risk variants that regulate gene expression dynamics, showing colocalization with disease-associated genes.

The paper introduces PICCOLO, a method to identify colocalized genes between GWAS and xQTLs, finding 30% of associations have at least one colocalized gene-xQTL.

The paper identifies T cell states associated with immune disease variants by analyzing chromatin activity across different activation states.

This study identifies 64 new genetic signals for osteoarthritis using UK Biobank data, including 52 novel loci, and highlights potential therapeutic targets with existing drugs.