Thomas G. Schulze

This study identifies shared genetic architecture between schizophrenia and substance use disorders using GWAS and genomic methods, finding significant genetic correlations and bidirectional causal relationships.

This study identifies BHLHE41 as a key regulator of lithium response in bipolar disorder by showing its role in neuronal excitability and synaptic plasticity through genetic and cellular analyses.

The paper identifies cell-type-specific DNA methylation patterns in excitatory neurons associated with suicide using postmortem brain tissue.

This paper develops a multi-trait polygenic score (mt-PGS) to predict lithium responsiveness in bipolar disorder, finding it improves prediction accuracy compared to single-trait methods.

This study identifies two clusters of severe mental disorder patients with differing illness severity, finding elevated pro-inflammatory serum proteins in the more severe group.

The paper identifies a novel miR-99b-5p-Zbp1 pathway in microglia that contributes to schizophrenia pathogenesis and suggests potential therapeutic strategies.

The paper investigates genetic correlations between psychiatric disorders, personality traits, and SARS-CoV-2 susceptibility using GWAS data and individual-level polygenic risk scores.

The paper identifies genetic associations with five personality dimensions and links them to psychiatric symptoms over time.

The paper applies association rule mining to GWAS data of bipolar disorder to identify novel genotype-phenotype relationships not detected by traditional GWAS methods.

This study investigates whether polygenic risk scores (PRS) can predict antidepressant response in MDD, finding no significant predictive effect.