Chief Ben-Eghan

The paper introduces a topological clustering method for genetic data from biobanks, showing it can reveal population structure and aid in quality control and polygenic score analysis.

This study identifies genetic determinants of plasma protein variance across ancestries and shows their impact on cardiometabolic disease risk.

This study identifies genetic loci influencing variance in blood cell traits and shows that incorporating variance polygenic scores improves prediction accuracy.

This study identifies metabolic reaction fluxes that interact with CAD risk alleles, revealing their role as amplifiers or buffers in disease susceptibility.

The paper introduces PCA-UMAP for visualizing population structure in large genomic datasets, revealing subpopulations and fine-scale relationships between geography, genotypes, and phenotypes.