ASHG 2026 · Tier 1 Academic
University of California San Diego at ASHG 2026
San Diego, California
University of California San Diego at ASHG 2026 in Montréal: 20 presentations (16 posters, 2 platform talks, 1 featured symposium); 10 research groups.
20
presentations on the program
10
research groups identified
4
Reviewers’ Choice abstracts
| Organization | ASHG 2026 Attendance |
|---|---|
University of California San Diego San Diego, California | 9 PhD Students · 3 PIs · 3 Postdocs · 1 Undergrad |
Amariuta Labamariutalab.org/people.html Develops statistical-genetics methods on GWAS, single-cell RNA-sequencing and biobank data. Uses them to fine-map disease genes and identify causal cell types across global populations.
| Poster Wed Oct 21 2:30 pm Building variant-anchored causal gene-protein regulatory networks from QTL fine-mapping, proteomics, and perturbation data Population geneticsStatistical geneticsGene regulationExpression quantitative trait loci Poster Thu Oct 22 4:15 pm Partitioning complex disease heritability by pathway-specific eQTL effects derived from single cell RNA-sequencing Expression quantitative trait lociGene regulationIdentification of disease genesSingle-cell Poster Fri Oct 23 2:30 pm PanCT: A framework for quantifying total and population-specific genomic diversity in the human pangenome Genome-wide association studyStatistical geneticsPopulation geneticsGenomics Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Leveraging genome-wide prediction models of gene expression to identify disease-critical genes and gene regulatory networks in outbred rat populationsComplex traitsStatistical geneticsGene regulationModel organisms Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Multi-modal Causal Gene Prioritization and Nonlinear Tissue and Cell-type Interaction Risk Modeling Reveal the Regulatory Architecture of Childhood-onset AsthmaAsthmaPolygenic risk scoreGenome-wide association studyExpression quantitative trait loci |
Gymrek Labgymreklab.com Develops computational tools for tandem-repeat variation in short-read and long-read whole-genome sequencing and uses MPRA and base editing. Studies human disease, ancestry and complex traits.
| Talk Thu Oct 22 11:00 am Functional dissection of promoter-proximal short tandem repeats reveals sequence class-specific regulatory mechanisms BioinformaticsExpression quantitative trait lociGene regulationMassively parallel sequencing Poster Thu Oct 22 4:15 pm Genome-wide mapping of genetic determinants of somatic repeat expansion rates in outbred heterogeneous stock rats implicates Msh3 Somatic variantsTriplet and other repeatsBioinformaticsMosaicism Poster Thu Oct 22 4:15 pm Admixture mapping identifies complex trait associations with African and Native American local ancestry in the All of Us Research Program Complex traitsGenotype-phenotype correlationsPopulation geneticsPopulation structure Poster Thu Oct 22 4:15 pm ★ Reviewers’ Choice UCSD Pangenome Browser: A Web-Based Platform for Interactive Pangenome VisualizationBioinformaticsComputational toolsGenetic variationGenomic structure |
Bafna Labvbafna.github.io/lab OMKar automates genome karyotyping using optical maps. Research focuses on identifying mechanisms of complex genome rearrangements in cancer, with a specific focus on ecDNA.
| Talk Wed Oct 21 1:55 pm Accurate detection of Robertsonian translocations using Oxford Nanopore reads by estimating copy-number loss at acrocentric satellite junctions Chromosomal abnormalitiesCopy number/structural variationDeep learningDiagnostics Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Accurate detection of Robertsonian translocations using Oxford Nanopore reads by estimating copy-number loss at acrocentric satellite junctionsChromosomal abnormalitiesCopy number/structural variationDeep learningDiagnostics |
Palmer Labpalmerlab.org Studies addiction and psychiatric traits using GWAS, RNA-seq, human cohorts and outbred rats. Uses include behavioral genetics and pharmacologic target discovery.
| Poster Thu Oct 22 4:15 pm A data-driven framework for identifying heritable dimensions of complex choice behavior Genome-wide association studyBehaviorComplex traitsGenetic mapping Symposium Fri Oct 23 9:40 am |
Bioinformatics Algorithmsbioalgorithms.ucsd.edu/people.html Develops algorithms for DNA arrays, next-generation sequencing, mass spectrometry and immunosequencing data. Research covers genome assembly, proteomics, antibiotics discovery and comparative genomics.
| Poster Fri Oct 23 2:30 pm DiploFormer: Capturing Non-Additive Regulatory Effects on Gene Expression and Chromatin Accessibility Deep learningEpidemiologyExpression quantitative trait lociHaplotype |
Ferguson Labcoleferguson.com/home Studies neuronal chromatin using CUT&RUN, ATAC-seq, Hi-C/Hi-ChIP, iPSC-derived neurons and mouse models. Targets neurodevelopmental disorders, neurodegeneration and neuroinflammation.
| Talk Thu Oct 22 8:45 am Loss of Bap1 disrupts enhancer activity and 3D genome organization in the developing brain EpigeneticsGene regulationNeurodevelopmentalGenomic structure |
Goren Labgoren-lab.github.io Studies chromatin regulation using automated ChIP-seq, single-cell RNA-seq, quantitative immunofluorescence and inducible degradation. Focuses on developmental chromatin regulation, cell-cycle chromatin dynamics and epigenetic memory.
| Poster Fri Oct 23 2:30 pm |
Quantitative Cancer Control (QCC) Labqcclab.com/people Integrates genome sequencing with clinico-pathological and molecular cancer data using mechanistic models and machine learning. Focuses on cancer evolution, early detection and risk prediction.
| Poster Thu Oct 22 4:15 pm Unsupervised decomposition of an ML-based PGS for inflammatory bowel disease reveals novel genetic subtypes associated with clinical outcomes Artificial intelligencePolygenic risk scoreAutoimmune disorderMachine learning |
Sanchez-Roige Labsanchezroigelab.org Analyzes 23andMe, All of Us Research Program and electronic health-record data with bioinformatics. Studies genetic drivers of substance-use disorders and comorbid physical and mental health.
| Poster Fri Oct 23 2:30 pm The Genetic Architecture of Wisdom: A Genome-Wide Association Study in 131,870 Individuals Genome-wide association studyPolygenic risk scoreComplex traitsBehavior |
Sebat Labsebatlab.org/people Analyzes whole-genome sequencing, exomes and single-cell genomic data from iPSC-derived brain organoid models. Uses causal inference to study autism and gene-environment effects.
| Poster Wed Oct 21 2:30 pm Combinatorial effects of CNVs, polygenic background and environment on complex traits Copy number/structural variationComplex traitsSkeletal systemRare variants |
| 1 more presenter — research group not yet identified | |
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