James J. Li

This study introduces SUPERGNOVA, a framework for estimating local genetic correlations, and identifies 150 trait pairs with significant local genetic correlations, including autism spectrum disorder and cognitive performance.

This paper estimates direct and indirect genetic effects using summary statistics from multi-generational GWAS, showing distinct patterns for traits like educational attainment and autism spectrum disorder.

This paper introduces LOGODetect, a statistical method to identify local genetic correlation signals across multiple phenotypes using GWAS summary statistics, finding 49 non-overlapping genome regions associated with psychiatric disorders.

This study links a transdiagnostic polygenic score for psychopathology to specific depression trajectories from adolescence to adulthood, highlighting the role of negative emotionality in mediating these associations.

The paper investigates the functional outcomes associated with low ADHD polygenic scores, finding lower ADHD risk and better cognitive and health outcomes in individuals with the lowest scores.

This study identifies sex-specific genetic variants associated with facial attractiveness using a genome-wide association approach in 3,928 samples.