Qian Peng

The paper conducts a genetic correlation analysis between externalizing behavior and neuroimaging phenotypes in the ABCD cohort using GWAS and LD Score Regression, finding no significant associations after correction.

The paper performs multi-ancestry survival GWAS on substance use initiation in the ABCD Study, identifying genome-wide significant variants for nicotine initiation and suggesting shared genetic contributions across substances.

This study examines how genetic risk for externalizing traits and brain imaging phenotypes independently and jointly influence adolescent substance use initiation timing using the ABCD Study data.

DynoSys 2.0 models dynamic behavioral risk states using graph-based temporal modeling with longitudinal data from the ABCD Study, showing better prediction for externalizing behaviors and substance use initiation.

This study identifies convergent genetic pathways for cannabis use disorder across three populations, highlighting shared and population-specific genetic factors.

This study identifies genetic loci and variants associated with suicidal behaviors and alcohol use disorders in an American Indian population using whole-genome sequencing.

This study identifies pleiotropic loci for cannabis use disorder severity in three high-risk populations using GWAS data and machine learning, finding shared pathways and tissue-specific expression patterns.