Description
This ASHG Virtual Symposium will focus on multi-modal data. Talks will range from integrating different datasets via summary statistics to applying different technologies to the samples from the same person, or even the same cell. Attendees will be eligible to claim 6 CE.
Day One: December 2, 2026
This session will feature talks about multiomic resources and databases.
9:30am – 10:00am Opening Keynote (Andrew Stergachis, MD, PhD, Division of Medical Genetics, UW Medicine; Departments of Medical Genetics and Genome Sciences, University of Washington)
10:00am – 10:30am To be announced
10:30am – 11:00am To be announced
11:00am – 11:30am The MoTrPAC Data Hub: Resources for the molecular map of exercise (Daniel H Katz, MD, Stanford University)
11:30am – 12:00pm Panel Discussion (All Speakers)
12:00pm – 1:00pm Break
In this session, we’ll feature talks on how to combine data sources and summary statistics to generate new insights.
1:00pm – 1:30pm 3D genome rewiring and lncRNA-associated cis-regulatory disruption of the FOXL2 region underlie blepharophimosis syndrome, a rare enhanceropathy (Charlotte Matton, Center for Medical Genetics Ghent)
1:30pm – 2:00pm Inter-individual multiomics improves subtype resolution and risk stratification in cardiovascular disease (Richard Wang, PhD, Illumina Inc.)
2:00pm – 2:30pm Omics outlier analysis in rare cancers reveals the function of rare germline variants in predisposition genes (Ata Jadid Ahari, Technical University of Munich)
2:30pm – 3:00pm Panel Discussion (All Speakers)
Day Two: December 3, 2026
This session will feature talks on powering multiomics discovery using large-scale datasets.
9:30am – 10:00am Opening Keynote (Anne O’Donnell-Luria, MD, PhD, Center for Mendelian Genomics at the Broad Institute)
10:00am – 10:30am To be announced
10:30am – 11:00am To be announced
11:00am – 11:30am Multi-modal Causal Gene Prioritization and Nonlinear Tissue and Cell-type Interaction Risk Modeling Reveal the Regulatory Architecture of Childhood-onset Asthma (Nan Huang, University of California, San Diego)
11:30am – 12:00pm Panel Discussion (All Speakers)
12:00pm – 1:00pm Break
This session will feature talks on leveraging multi-omic data to interpret genetic variant impact.
1:00pm – 1:30pm Machine learning-based penetrance of genetic variants using metabolomics data (Megan Wojciechowicz, Icahn School of Medicine at Mount Sinai)
1:30pm – 2:00pm Single-cell multi-omic dissection of ASXL1-mutant clonal hematopoiesis: Integrating genotype, transcriptome, and protein in myeloid disease progression (Terra Lasho, PhD, Mayo Clinic)
2:00pm – 2:30pm Large-scale multi-omics analyses of cardiometabolic traits in the Middle East (Mohamad Saad, PhD, Qatar Computing Research Institute, H amad Bin Khalifa University)
2:30pm – 3:00pm Panel Discussion (All Speakers)
