Yingzhe Zhang

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 conducts a multi-ancestry GWAS meta-analysis of 2.5 million participants to identify genetic variants associated with migraine and link them to biological pathways and therapeutic targets.

The paper models the genetic architecture of cortical expansion using GWAS data and links it to neuropsychiatric disorders.

The paper identifies 260 genes associated with sleep phenotypes using rare coding variants from large-scale sequencing data, revealing distinct genetic architectures and biological mechanisms across different sleep measurements.

This study develops a framework to calibrate polygenic risk scores and analyze misclassification and inconsistency in risk stratification.

The paper identifies shared genetic loci between cortical morphology and psychiatric disorders, finding regional and global effects with directional heterogeneity.

This study identifies genetic associations for multiple sleep disorders and medications in over 1.6 million individuals, revealing shared and unique genetic factors across sleep traits.

The paper identifies chr22q as a regulatory hub where genetic risk for neuropsychiatric conditions is associated with coordinated gene expression downregulation in brain tissue.