University of California, San Francisco at ASHG 2026
Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website
University of California, San Francisco brings 19 presentations from 9 research groups to ASHG 2026 in Montréal. Its program at this meeting centres on rare disease, cancer, and computational and population genetics. Ahituv Lab examines non-coding autism risk with deep learning and reporter assays, Weiss Lab studies genetic pregnancy biomarkers, and Capra Lab seeks therapeutic targets among disease genes.
| Organization | ASHG 2026 Attendance |
|---|---|
University of California, San Francisco San Francisco, California | 8 PhD Students · 3 PIs · 2 Postdocs · 1 Staff Scientist |
Ahituv Labpharm.ucsf.edu/ahituv Uses RNA-seq, ChIP-seq, ATAC-seq, single-cell RNA-seq, single-cell ATAC-seq and MPRA with human samples and mouse/fish genetic engineering. Studies regulatory variation in disease, evolution and therapy.
| Talk Thu Oct 22 8:30 am Deep learning and massively parallel reporter assays determine non-coding risk for autism spectrum disorder AutismNeurogeneticsMachine learning Session Thu Oct 22 11:00 am Poster Fri Oct 23 2:30 pm Massively parallel characterization of noncoding variants associated with neurodevelopmental disorders Variant interpretationNeurodevelopmentalGene regulationDeep learning Poster Fri Oct 23 2:30 pm Integrative single-cell characterization of intervertebral discs and their association with scoliosis Bone/joint abnormalitiesGene regulationGenetic variationMulti-omics |
Weiss Lablaweisslab.ucsf.edu Studies autism using genome-wide association, eQTL, CNV, transcriptomic and clinical data. Uses genetic mechanisms to understand autism risk, sex differences and pregnancy biomarkers.
| Poster Wed Oct 21 2:30 pm Genetic Regulation of Metabolic Biomarkers During Pregnancy Complex traitsGene environment interactionGenome-wide association studyHeritability Poster Wed Oct 21 2:30 pm GENETIC ASD SUBTYPES DISENTANGLE THE RELATIONSHIP BETWEEN SEX RATIO AND AGE OF DIAGNOSIS AutismExome/genome sequencingPhenotypeComplex traits Poster Fri Oct 23 2:30 pm Genetic insights into maternal autoantibodies associated with autism Genome-wide association studyAutismImmune systemWomen's health |
Capra Labcapralab.github.io Develops computational and AI methods to interpret genetic variation from whole-genome sequences and biobank-linked EHRs. Applies them to rare disease, human evolution and health.
| Poster Wed Oct 21 2:30 pm Identifying gene expression outliers in recurrent pregnancy loss families using trio genome sequencing and DNA sequence-to-function models GenomicsIdentification of disease genesMendelian disorderPrenatal diagnosis Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Leveraging human genetic variation to therapeutically target hundreds of genes with dominant & dispensable disease allelesGene therapyGenome editing/CRISPRMendelian disorderMolecular therapeutics |
Center for Cerebrovascular Researchccr.ucsf.edu Studies brain vascular malformations with cell-free DNA screening, whole methylome sequencing, methylome arrays and imaging data. Uses UCSF cohorts and BVMC studies to identify biomarkers.
| Poster Thu Oct 22 4:15 pm Uncovering Cell-Type-Specific Gene Expression and Regulatory Variants in Familial Cerebral Cavernous Malformation GenomicsMalformationMicroarrays |
Condello Labcondellolab.ucsf.edu Studies glial biology and proteinopathy using Visium ST, single nucleus RNA sequencing and spatial transcriptomics. Research targets Alzheimer’s disease, tau pathology and vulnerable neurons.
| Symposium Wed Oct 21 9:05 am |
Hernandez Labhernandezlab.ucsf.edu Analyzes pooled sequencing and RNA-sequencing data with population-genetic simulations. Studies human disease genetics, host-pathogen interactions and the 1000 Genomes Project.
| Poster Thu Oct 22 4:15 pm |
Torgerson-Hernandez Lab (THeLab)thelab.ucsf.edu Studies genetic variation and complex traits using population genetics, statistical modeling and multi-omic data. Focuses on evolution, ancestry, molecular phenotypes and treatment response.
| Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Data-analysis biases are exacerbating GWAS representation gapsBioinformaticsEthical, legal, and social implicationsGenome-wide association studyMachine learning |
Ziv Labzivlab.ucsf.edu Studies cancer susceptibility and treatment response using GWAS, whole-exome sequencing, paired tumor/normal sequencing and RNA-seq. Works with City of Hope on Latina breast-cancer studies.
| Poster Fri Oct 23 2:30 pm GWAS of tumor transposable element expression reveals germline determinants of the tumor immune microenvironment CancerExpression quantitative trait lociGenetic epidemiologyGenome-wide association study |
Werling Labwerling.genetics.wisc.edu Works in computational genetics and reproductive and prenatal genetics.
| Poster Wed Oct 21 2:30 pm Aligning bulk RNA-seq and WGS reads from developing human brains to T2T-CHM13 uncovers novel gene expression patterns and eQTL associations in coding and non-coding genomic regions BioinformaticsGenetic variationNeurodevelopmentalNon-coding RNA |
| 5 more presenters — research group not yet identified | |
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