Matthew Bracher‐Smith

drugMR uses multi-omics data to identify potential drug targets and adverse effects by integrating GWAS and pQTL statistics with various statistical methods.

This study examines how cortical thickness and surface area contribute to cognitive ageing using longitudinal data from multiple cohorts, finding thickness declines more steeply and is more strongly linked to cognitive change.

The paper identifies latent factors underlying white matter metrics using MRI data from a cohort of healthy adults and links these factors to cardiovascular health and cognitive performance.

The paper compares transcriptomic changes in LRRK2 protein interactors between sporadic and LRRK2 Parkinson's Disease to identify molecular differences.

The paper examines the effects of pathogenic CNVs on biochemical and haematology markers using UK Biobank data, finding significant associations and unexpected lipid level reductions in CNV carriers.

This study conducts the largest genetic association analysis of psychotic experiences in the UK Biobank, identifying four genome-wide significant loci and showing shared genetic risk with schizophrenia, depression, bipolar disorder, and neurodevelopmental disorders.

This study examines the medical consequences of pathogenic CNVs in adults using UK Biobank data, finding significant associations between CNVs and various health outcomes.

The paper investigates the role of rare copy number variants (CNVs) in depression, finding that neurodevelopmental CNVs are associated with increased depression risk.