Douglas W. Yao

The paper integrates perturbational screens, eQTL, and GWAS data to identify mediating genes for complex traits, finding 546 significant genes enriched for immune response and cellular signaling.

Compressed Perturb-seq reduces cost and complexity of CRISPR screens by using random composite perturbations and computational decomposition, achieving similar accuracy to conventional methods with greater power to detect genetic interactions.

The paper introduces GCSC regression to identify gene sets enriched for disease heritability by leveraging gene co-regulation in TWAS data, finding immune-related associations in Alzheimer's disease.

The paper introduces MESC to estimate disease heritability mediated by gene expression, finding that only a small proportion of heritability is explained by cis-genetic expression levels.

This study benchmarks error-correction methods for next-generation sequencing data, finding significant variation in performance across datasets with no single method being optimal overall.