Toby Johnson

The paper evaluates the transportability of in-vitro gene perturbation models to in-vivo human phenotypes using CRISPR data and UK Biobank, finding some models are predictive while others are not.

The paper shows that variable information across SNPs in GWAS data can lead to false colocalisation inferences and proposes a proportional colocalisation test to address this issue.

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

Meta-analysing UK Biobank family-history GWAS with diagnosed-AD GWAS yields 37 loci, four novel (NCK2, TSPAN14, SPRED2, CCDC6); fine-mapping, colocalisation and network scoring prioritize causal genes.

The paper investigates how genetic variants affect gene expression in human pancreatic islets and identifies candidate genes linked to type 2 diabetes.

The paper introduces PICCOLO, a method to identify colocalized genes between GWAS and xQTLs, finding 30% of associations have at least one colocalized gene-xQTL.

This study identifies 64 new genetic signals for osteoarthritis using UK Biobank data, including 52 novel loci, and highlights potential therapeutic targets with existing drugs.