Jie Quan

The paper uses bulk RNA-seq data to estimate cell type abundances and identifies cell type interaction QTLs that provide finer resolution of tissue specificity than bulk cis-eQTLs.

The paper identifies 237 genes associated with schizophrenia using RNA sequencing and eQTL analysis, showing enrichment for developmentally regulated synaptic genes.

The paper develops S-PrediXcan to compute gene expression associations from GWAS summary data and applies it to 44 GTEx tissues and 100+ phenotypes, finding tissue-specific effects and colocalized associations.

The paper analyzes tissue-specific gene expression and splicing across 8527 RNA-seq samples to identify therapeutic targets and prioritize disease-associated genes.

The paper combines GWAS, clinical data, and experimental models to identify JAK-STAT pathway dysregulation as a potential therapeutic target for Alzheimer’s disease.