Jamie W. Robinson

This study uses reverse Mendelian randomization to identify non-causal plasma proteins associated with glioma risk, finding links to immune system processes and potential biomarkers.

This paper uses Mendelian randomization and electronic health records to show SGLT2 inhibitors reduce prostate cancer risk, with additional evidence from differential expression analysis.

This study uses GWAS and Mendelian randomization to show that lower sclerostin levels increase risk of hypertension, type 2 diabetes, myocardial infarction, and atherogenic lipid profiles.

PWCoCo improves genetic colocalisation by integrating conditional and colocalisation analyses, enabling robust detection of independent signals and secondary loci in high-dimensional omics data.

This study combines protein and gene expression QTLs to evaluate their concordance in drug target validation, finding that 25-30% of QTL pairs show discordant effects.

This study uses Mendelian randomization and colocalization to identify 12 genes, three novel, associated with glioma risk across tissues and subtypes.

This paper uses Mendelian randomization and colocalization to identify causal relationships between plasma proteins and disease phenotypes, finding 111 putatively causal effects.

This study uses bidirectional Mendelian randomization to investigate causal relationships between inflammatory markers and depression, finding a causal effect of IL-6 on major depressive disorder.