David Andrew Collier

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

MAVEN is an R/Shiny app that predicts drug targets and visualizes compound mechanisms of action using transcriptomics and chemical structure data, enabling hypothesis generation for wet-lab scientists.

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

This study identifies TREM2-dependent genes and pathways in Alzheimer's disease by analyzing RNA sequencing data from brain samples, revealing its impact on microglia, oligodendrocytes, and endothelial cells.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

This study uses long-read RNA sequencing to analyze isoform diversity in human and mouse cerebral cortex, revealing widespread alternative splicing and novel transcripts.

This paper performs a large-scale eQTL meta-analysis across cerebral cortical and cerebellar brain regions, identifying distinct eQTL patterns and demonstrating improved power over existing studies.

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 identifies cardiovascular and infectious disease mechanisms linked to atypical antipsychotic side-effects using transcriptome analysis and bioinformatics.

This study identifies transcriptional changes in tau and amyloid mouse models, revealing gene expression patterns linked to AD pathology and immune response.

The paper identifies 9 novel genetic loci, including low-frequency variants in TP53, associated with head circumference and intracranial volume in up to 46,000 individuals.

Coexpression meta-analysis of 2114 human brain RNA-seq samples across the AMP-AD consortium identifies five consensus Alzheimer's disease transcriptional clusters, including two sex-heterogeneous clusters and a previously unreported proteostasis cluster.

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

This study identifies 114 genome-wide significant loci for schizophrenia and bipolar disorder, with specific subphenotype associations and four genes distinguishing the disorders.

The paper evaluates 42 inflammatory markers in MDD cases and controls, finding strong confounding effects and limited predictive power of individual markers for MDD diagnosis.

This study examines the transcriptional effects of Trem2 loss in mouse brain, revealing disruptions in cell co-expression networks and highlighting a potential role for Trem2 in endothelial cell homeostasis.

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