ASHG 2026 · Tier 1 Academic
University of Pittsburgh at ASHG 2026
Pittsburgh, Pennsylvania
University of Pittsburgh at ASHG 2026 in Montréal: 7 presentations (6 posters, 1 featured symposium); 4 research groups.
7
presentations on the program
4
research groups identified
| Organization | ASHG 2026 Attendance |
|---|---|
University of Pittsburgh Pittsburgh, Pennsylvania | 3 PhD Students · 2 PIs |
Obesity, Lifestyle and Genetic Adaptations (OLaGA) Study Groupolaga.org Studies obesity and cardiometabolic disease using genetics, longitudinal epidemiology, biospecimens, Soifua Manuia GWAS and TOPMed whole-genome sequencing. Focuses on Samoan and Pacific Island populations.
| Poster Wed Oct 21 2:30 pm Genetic colocalization of blood lipid loci with adipose gene expression in Samoans Expression quantitative trait lociGenome-wide association studyPopulation geneticsGene regulation Poster Fri Oct 23 2:30 pm Clinically actionable structural variant in the haptoglobin gene can be accurately imputed into WGS data using a 1000 Genomes reference panel Copy number/structural variationPharmacogenomicsPrecision medicineDiabetes Poster Fri Oct 23 2:30 pm Effects of a CREBRF missense variant on gene expression and cell type composition in adipose tissue of Samoan adults without type 2 diabetes Expression quantitative trait lociRNA-seqTranscriptomePopulation genetics |
Center for Systems Immunologyimmunology.pitt.edu/research/center-systems-immunology Applies a novel single-cell spatial sequencing platform, XYZeq. Harnesses systems-level understanding to rationally enhance vaccine responses and design new therapeutic modalities for immune disorders.
| Symposium Fri Oct 23 8:15 am |
Genomics of Patient Outcomes HUBnursing.pitt.edu/research/nursing-research-scholarship-hubs/genomics-patient-outcomes Uses in-house molecular genomics laboratories and transcriptomics, proteomics and epigenomics to study patient outcomes. Targets symptoms, recovery, intervention response and cognitive decline.
| Poster Wed Oct 21 2:30 pm Probe-First Iterative Quality Control Reduces Excessive Sample Exclusion in Infinium MethylationEPIC v2.0 Data MethylationMicroarraysBioinformaticsMethodology |
Koldamova-Lefterov Labkoldamovalefterovlab.pitt.edu Studies Alzheimer’s disease in APP and APOE mouse models using RNA-sequencing, transcriptomic and lipidomic data. Focus includes immune response, microglia and nuclear receptors.
| Poster Wed Oct 21 2:30 pm Understanding dysregulation of peripheral immunity in Alzheimer's disease with multiome profiling Alzheimer’s diseaseBioinformaticsEpigenetics |
| 1 more presenter — research group not yet identified | |
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