Unraveling the impact of naturally occurring genetic variation in the human population represents an opportunity to reveal many new insights into human biology. We systematically identify connections between genes and the human biology they regulate through the integration of multiomic human datasets. We “retro-translate” these human findings back to the bench and use the tools of chemical biology to dissect their molecular mechanisms. Our overarching goal is to identify small molecules that modulate cardiometabolic disease-associated genes.

Retro-translation of human findings in model organisms