Ziying Ke

Genetic dose-response modelling predicts drug mechanisms, dosing, and adverse events

VIDRA models genetic dose-response relationships to predict drug mechanisms, therapeutic potential, and adverse events using phenotypically associated variants.

Division state reveals hidden genetic regulation during T cell activation and identifies immune disease-linked gene programmes

The paper uses division-resolved single-cell transcriptomics to study T cell activation and identifies gene programmes linked to immune disease by analyzing variant effects on cell division states.

Immune disease risk variants regulate gene expression dynamics during CD4+ T cell activation

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.