Mihkel Jesse

This paper introduces gpu-coloc, a fast colocalisation method for genetic signals, showing it can efficiently analyse millions of traits and detect colocalisations with high accuracy.

This study performs a large-scale GWAS on 249 metabolic traits in 619,372 individuals, identifying 88,604 associations and using MR to explore causal links between metabolites and diseases.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper uses Estonian Biobank data to identify genetic loci associated with 5,491 disease phenotypes, finding 3,222 genome-wide significant loci and 754 protein-altering variant-trait associations.