David Curtis

This study compares LDSC and GREML methods for estimating genetic correlation, showing GREML provides higher accuracy, especially in the presence of genetic heterogeneity.

The study examines whether polygenic risk scores for schizophrenia correlate with gene expression in brain tissue but finds no significant associations beyond chance.

The paper reanalyzes exome-sequenced schizophrenia cases and controls, finding significant enrichment of gene sets related to synaptic function, particularly involving FYN and NMDA receptor subunits.

The paper tests if variants in miR-137 binding sites are associated with schizophrenia using exome sequencing data from 4225 cases and 5834 controls, finding a significant weighted burden test result.

The paper constructs an exome-wide risk score for schizophrenia using a weighted burden test and shows it differs significantly between cases and controls.

The paper reports GWAS findings linking common variants in NRXN1, LRP1B, and RORA to increased ventricular volumes in psychosis, using deep phenotyping data from 1,115 cases and controls.

The paper identifies rare loss-of-function variants in KMT2F associated with schizophrenia and developmental disorders, showing their role in neurodevelopmental conditions.