Mo Li

M-DATA improves statistical power for identifying risk genes by jointly analyzing de novo mutations across multiple traits, demonstrating its effectiveness in congenital heart disease and autism.

This paper introduces T-GEN, a method that improves gene-disease association identification by incorporating epigenetic annotations, resulting in more accurate and functionally relevant gene discoveries.

The paper introduces a statistical framework for cross-tissue transcriptome-wide association analysis, improving gene-trait association detection and identifying novel genes related to late-onset Alzheimer's disease.