Urs Heilbronner

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 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

The paper develops pathway-specific polygenic scores to predict lithium treatment response in bipolar disorder and finds associations with specific biological pathways.

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

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.

Meta-analysis of 41,917 European-ancestry bipolar disorder cases versus 371,549 controls yields 64 risk loci (33 novel), neuronal and synaptic gene enrichment, and 15 eQTL-prioritized genes.

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

This study identifies 30 genome-wide significant loci associated with bipolar disorder, including novel genes involved in ion channels, neurotransmitters, and synaptic components.

The paper shows that polygenic scores for depression traits predict lithium response in bipolar disorder patients, with lower genetic load linked to better treatment outcomes.

This study finds that a higher genetic risk for schizophrenia is linked to poorer lithium response in bipolar disorder patients, suggesting potential for personalized treatment strategies.