Genetic drivers of protein changes over time: Findings, considerations, and approaches in TOPMed cohorts and UK Biobank

The study leverages large-scale proteomic and genomic data from TOPMed and UK Biobank to search for genetic variants associated with age-dependent protein abundance changes. Age is a major risk factor for many diseases, and proteins are strongly associated with age, but few studies have examined how genetics modulate interindividual variability in these age-related changes. By identifying protein quantitative trait loci that interact with age, the authors hope to uncover new mechanisms linking genetic predisposition to aging-related disease risk. The findings may also inform 'omics clock development and improve understanding of biological versus chronological age. Further validation in diverse cohorts will be critical to confirm the robustness of these genetic associations.