Ariel DH Gewirtz

This paper introduces a TBLDA framework to identify eQTLs across tissues using raw count data with a one-to-many sample-to-genotype mapping.

This paper introduces scTBLDA, a method for identifying eQTLs in single-cell RNA-seq data without relying on cell-type labels, and applies it to find cis- and trans-eQTLs in lupus patients.

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 constructs co-expression networks that integrate transcription and splicing regulation across tissues, identifying shared and tissue-specific regulatory hubs and genetic variants impacting gene expression.