Yuchen Zhou will discuss a novel method that applies a multimodal AI model to physiological waveforms, like ECGs, to improve the genetic prediction of cardiovascular traits. The presentation will cover how this novel approach leveraged the shared and orthogonal signals in multimodal data and led to better genetic discovery.

Drs. Sharma and Wojcik will present recently published work investigating the role of both genetic ancestry and sociocultural factors when considering the genetic risk for body-mass-index (BMI) in the Hispanic Community Health Study/Study of Latinos. Significant gene-environment interactions persisted in only some subgroups of Hispanic/Latino ethnicity, even after adjustment for ancestry differences, emphasizing the importance of finer-level population descriptors in avoiding spurious findings of gene-environment interactions due to both genetic and sociocultural substructure.

Pauline Lanting, PharmD, will discuss the feasibility of a low-cost, pre-emptive pharmacogenetic passport that could be readily implemented in clinical settings to ensure patients receive optimal drug therapy based on their genetic makeup.

Adam Bates will discuss results from leveraging the All of Us Research Program to study previously identified pathogenic germline variants and their relationship to cancer occurrence. This work highlights the importance of using diverse study populations to make cancer research more broadly applicable.

Mahmoud Koko, MBBS, Dr rer nat, will discuss findings from a meta-analysis of two large autism cohorts investigating the extent to which damaging coding variants influence a person's chances of having an autism diagnosis, and whether this influence varies by sex.