Xinzhe Li

This study evaluates the GIRA approach in a health system, finding 30.4% of patients labeled high-risk based on genomic data, with ancestry differences and social deprivation influences.

The paper shows that statistical uncertainty explains disagreement in type 2 diabetes polygenic scores and proposes using uncertainty measures to improve risk prediction.

This study identifies genetic loci associated with Meniere's disease and links them to inner ear development and retinoic acid metabolism.

This study creates a 3D multi-omic atlas of developing human basal ganglia and inhibitory neurons, revealing lineage-specific 3D genomic dynamics and regulatory programs associated with neuropsychiatric disease risk.