Yingjie Shi

This study uses polygenic scores to identify pleiotropic effects of psychiatric dimensions across medical and laboratory phenotypes, revealing biological links between mental health and physical conditions.

This study links genetic liability to psychiatric disorders with quality of life outcomes in children and adults, finding ADHD and MDD PGSs significantly associated with lower quality of life factors.

This paper introduces polygenic component scores derived from genomICA components to link brain imaging genetics to diverse phenotypes, showing they predict physical and cognitive traits but not mental health outcomes.

The paper applies genomICA to GWAS data from brain MRI phenotypes to identify genetic components associated with neurobiological processes and behaviors.

This paper introduces genomic principal and independent component analysis to decompose GWAS statistics of brain traits, showing improved reproducibility and interpretability of genetic effects.

This study maps individual brain deviation scores in individuals with pathogenic CNVs using normative modeling and shows correlations between negative deviations and cognitive function.

This study examines genetic liability for psychiatric disorders using disorder-specific and transdiagnostic frameworks, finding that depression PRS is associated with multiple disorders and uncovering four functional domains aligning with RDoC.

The paper examines how hippocampal and medial prefrontal cortex activity during movie watching relates to episodic memory formation by analyzing activation and connectivity patterns.