Alex Gutteridge

This study uses genetic associations from GWAS and network propagation to identify drug targets enriched for clinical success.

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

This study benchmarks 12 network propagation methods for disease gene identification using gene-disease data from Open Targets on 22 diseases, finding that machine learning and diffusion-based methods outperform simpler approaches.

The paper maps regulatory variants in iPSC-derived sensory neurons, identifying genetic influences on gene expression, chromatin accessibility, and RNA splicing, with overlaps to disease associations.