Omics, Regulation & AI for Precision Cardiovascular Medicine

ASHG’s two-day virtual symposium on cardiogenetics — 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. A full agenda is available. 

Participants will be eligible for 6 CME.

Schedule

Day One: April 28, 2026   

9:30am – 10:00am    Opening Keynote, "Noonan syndrome and the related RAS pathway disorders:
                                       From pathogenesis to fixing broken hearts" 
                                       (Bruce Gelb, MD, Icahn School of Medicine at Mount Sinai)

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   Epigenome-wide association study of lifecourse socioeconimic position with
                                       cardiovascular and cognitive health in US Hispanics/Latinos
                                       from the Hispanic Community Health Study/Study of Latinos (Jee-Young Moon)

11:00am – 11:30am    Multimodal CACNA1C deep mutational scanning to assess the impact
                                       of all missense variants on ion channel function (Richard Dolder)     

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, "Advanced Therapeutics in Genetic Cardiomyopathy:
                                       Gene Therapy Update" (Barry J. Byrne, MD, PhD, Powell Gene Therapy Center)

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   Discovery of Novel Genomic Loci and Target Genes of Circulating Fatty Acids
                                       Through Integrative Multi-Trait GWAS Analyses and Single-Cell CRISPR Screening
                                       (Huifang Xu)

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

1:00pm – 1:30pm      Unveiling the genetics of atherosclerosis through multi-trait genome-wide
                                       analysis of imaging-based and clinical phenotypes (Murad Omarov)