Cardiogenetics Symposium

ASHG’s two-day virtual symposium Cardiogenetics 2026 — Omics, Regulation & AI for Precision Cardiovascular Medicine — brings together leading researchers who are working to advance our understanding and treatment of the genetic underpinnings of cardiovascular disease and health. Over two days, speakers will highlight cutting‑edge discoveries spanning transcriptomic profiling, non‑coding variant interpretation, enhancer–gene regulatory architecture, and cardiomyopathy‑relevant GWAS. Together, these sessions underscore a rapidly evolving landscape in which regulatory genomics, advanced omics technologies, and artificial intelligence converge to accelerate precision cardiovascular medicine. This symposium provides a platform for interdisciplinary dialogue toward translating genetic insights into improved prediction, diagnosis, and therapeutic strategies for heart and metabolic diseases. 

Schedule

Day One: April 28, 2026   

9:30am – 10:00am    Opening Keynote (Bruce Gelb)

10:00am – 10:30am    Transcriptome-wide profiling of the aortic valve in patients with calcific aortic valve stenosis identifies sex-specific mechanisms (Ursula Houessou)

10:30am – 11:00am    To be announced

11:00am – 11:30am    To be announced

11:30am – 12:00pm     Break 

12:00pm – 12:30pm     Transcript-Aware Rare Genetic Variant Association Analyses of Cardiopulmonary Traits in Participants from the All of Us Research Program (Jingwen Zhang)

12:30pm – 1:00pm    Identifying cell types that mediate the impact of metabolic risk factors on coronary artery disease (Siyuan Chen)

1:00pm – 1:30pm        Mapping Enhancer-Gene Interactions to Resolve Coronary Artery Disease GWAS Loci (Matthew Baxter)  

Day Two: April 29, 2026 

9:30am – 10:00am    Opening Keynote 

10:00am – 10:30am    Genetic Ancestry is Encoded in ECG Waveforms (Alexis Nolin-Lapalme)

10:30am – 11:00am    Beyond heritability: Multimodal AI integrating imaging and genetics enables population scale precision coronary artery disease risk prediction (Devansh Pandey)

11:00am – 11:30am    Cell-type eQTLs in subcutaneous adipose tissue identify distinct gene regulation across cell types and inform GWAS mechanisms for cardiometabolic traits (Abdalla Alkhawaja)

11:30am – 12:00pm     Break 

12:00pm – 12:30pm     To be announced

12:30pm – 1:00pm    Leveraging Open-Source Large Language Models to Identify Undiagnosed Patients with Rare Genetic Aortopathies (Pankhuri Singhal)

1:00pm – 1:30pm        To be announced