Jim van Os

The paper introduces co-expression-based models to improve eQTL predictions and identifies novel schizophrenia-associated genes using brain RNA-seq data.

This study identifies cell-type-specific DNA methylation dynamics in the human cortex across development, highlighting prenatal periods as critical for epigenomic plasticity and linking changes to neurodevelopmental disorders.

This study examines whether cannabis use extent predicts psychotic-like and euphoric intoxication experiences in First Episode Psychosis patients and controls, finding a significant interaction between caseness and use frequency.

The paper investigates the relationship between jumping to conclusions bias, IQ, psychosis, and polygenic risk scores in a case-control study, finding that IQ significantly predicts JTC bias while schizophrenia PRS does not.

This study identifies DNA methylation changes in blood samples from psychosis patients, including treatment-resistant schizophrenia, and links them to biological age, smoking, and cellular composition.

The paper investigates how polygenic risk for schizophrenia interacts with childhood adversity to influence emotional dysregulation and psychosis proneness in adolescents and young adults.

The paper examines the independent and combined effects of schizophrenia polygenic risk score and heavy cannabis use on psychotic disorder risk using EUGEI data, finding both factors independently increase risk.

The paper links reduced cortical morphometric similarity in psychosis to the expression of schizophrenia-related genes in specific brain regions.

This study examines the relationship between cannabis use and symptom profiles in first episode psychosis patients and population controls, finding that cannabis use correlates with positive symptoms and negative symptoms in patients.