Julian R. Homburger

The paper analyzes genome-wide data from Indigenous Patagonians to uncover genetic adaptations to cold, maritime diet, and pathogens, revealing prehistoric selection signals and admixture patterns.

The paper uses machine learning to quantify liver fat from MRI data and identifies genetic variants associated with liver fat accumulation and related diseases.

The paper examines how polygenic risk modifies the penetrance of monogenic variants in coronary artery disease, breast cancer, and colorectal cancer across multiple cohorts.

This study shows low coverage whole genome sequencing can accurately assess common variants and calculate polygenic scores, comparable to genotyping arrays.