Predicting Pharmaceogenetic Variants Using DNA/RNA Foundation Models

The identification of human genetic variants that influence drug absorption, distribution, metabolism and excretion plays an important role in the discovery, development and clinical administration of drugs that have desirable safety and efficacy profiles. Unfortunately, due to extensive genetic diversity within and across human populations, the impact of most genetic variants on genes associated with drug metabolism and response remain uncharacterized. In this session, a team of three investigators will discuss Specific Aims for a grant proposal to test the hypothesis that computational models trained to learn fundamental relationships between DNA/RNA sequence information and gene expression can accurately predict the impact of novel genetic variants on the expression of genes involved in drug metabolism in genetically diverse populations.