ASHG 2026 · Tier 1 Academic

University of California, San Francisco at ASHG 2026

Name: ASHG 2026 Annual Meeting
Start: 2026-10-20
End: 2026-10-24
Location: Montréal

San Francisco, California

University of California, San Francisco at ASHG 2026 in Montréal: 19 presentations (17 posters, 1 featured symposium, 1 platform talk); 10 research groups.

presentations on the program

research groups identified

sessions invited to or moderated

Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

Organization	ASHG 2026 Attendance
University of California, San Francisco San Francisco, California	8 PhD Students · 3 Postdocs · 3 PIs · 1 Staff Scientist
Ahituv Labpharm.ucsf.edu/ahituv Wet + dry lab~16 people 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. 58 papers since 2024 › Massively parallel characterization of transcriptional regulatory elements Nature, 2025 Single-cell genomics and regulatory networks for 388 human brains Science, 2024 Single-cell multi-cohort dissection of the schizophrenia transcriptome Science, 2024 Source: OpenAlex author A5086687499 16 platforms and techniques › Runs RNA-seq, ChIP-seq, Cut&Tag, ATAC-seq, Hi-C, single cell RNA-seq, single cell ATAC-seq, massively parallel reporter assays (MPRA) Techniques saturation mutagenesis, mouse transgenic enhancer assay, CRISPR-mediated activation (CRISPRa), zinc-fingers, TALEs, mouse genetic engineering, fish genetic engineering, stem-cell-to-neuron differentiation Source: lab pages No funding stated · No openings posted	Talk Thu Oct 22 8:30 am Deep learning and massively parallel reporter assays determine non-coding risk for autism spectrum disorder Chromatin in Motion: Epigenetic Control of Brain Development and Disease Collaborators: Stanford University, Icahn School of Medicine at Mount Sinai +3 more AutismNeurogeneticsMachine learning Moderator Thu Oct 22 11:00 am Uptown Funk(tion): Don’t Believe Me, Just Perturb Poster Fri Oct 23 2:30 pm Massively parallel characterization of noncoding variants associated with neurodevelopmental disorders Molecular Effects of Genetic Variation Collaborators: Broad Institute, Boston Children's Hospital +1 more Variant interpretationNeurodevelopmentalGene regulationDeep learning Poster Fri Oct 23 2:30 pm Integrative single-cell characterization of intervertebral discs and their association with scoliosis Molecular Effects of Genetic Variation Collaborators: The University of Texas Southwestern Medical Center, The University of Texas at Austin Bone/joint abnormalitiesGene regulationGenetic variationMulti-omics
Weiss Lablaweisslab.ucsf.edu Dry lab~6 people Studies autism using genome-wide association, eQTL, CNV, transcriptomic and clinical data. Uses genetic mechanisms to understand autism risk, sex differences and pregnancy biomarkers. 9 papers since 2024 › Mapping the genetic landscape across 14 psychiatric disorders Nature, 2025 Examining Sex Differences in Autism Heritability JAMA Psychiatry, 2024 Relationship between sex biases in gene expression and sex biases in autism and Alzheimer’s disease Biology of Sex Differences, 2024 Source: OpenAlex author A5056862358 5 platforms and techniques › Techniques Genome-wide association analyses, eQTL mapping, PrediXcan, MetaXcan, Human iPSC-derived neurons Source: lab pages Currently hiring › “Autism genetics lab seeking postdoctoral fellow or staff researcher for computational analysis of large datasets.” Source: lab positions page No funding stated	Poster Wed Oct 21 2:30 pm Genetic Regulation of Metabolic Biomarkers During Pregnancy Prenatal, Perinatal, Reproductive, and Developmental Genetics Collaborators: University of California, Berkeley, University of California, Davis +1 more 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 Complex Traits and Polygenic Disorders AutismExome/genome sequencingPhenotypeComplex traits Poster Fri Oct 23 2:30 pm Genetic insights into maternal autoantibodies associated with autism Complex Traits and Polygenic Disorders Collaborators: Kaiser Permanente Genome-wide association studyAutismImmune systemWomen's health
Capra Labcapralab.github.io Dry lab~10 people 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. Funded by NIH, CIRM +3 more › NIH, The Evolution of Gene Regulation and Human Disease · 2018-2029 “The Evolution of Gene Regulation and Human Disease, NIH, 2018-2029” CIRM, Allele Prospector: Leveraging human genetic variation to enable therapeutic genome editing in hundreds of disease genes · 2026-2029 “Allele Prospector: Leveraging human genetic variation to enable therapeutic genome editing in hundreds of disease genes, CIRM, 2026-2029” NIH, Personalized Structural Biology: Enabling Exome Interpretation in Undiagnosed Diseases · 2021-2025 “Personalized Structural Biology: Enabling Exome Interpretation in Undiagnosed Diseases, NIH, 2021-2025” +2 more on the lab page Source: lab pages 9 platforms and techniques › Analyzes ChIP-seq, DNase I hypersensitivity, CAGE Techniques machine learning, deep learning, sequence-based machine learning, deep mutational scanning, EHR-based deep phenotyping, protein structure analysis Source: lab pages No openings posted	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 Prenatal, Perinatal, Reproductive, and Developmental Genetics Collaborators: Stanford University 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 alleles Genetic Therapies and Precision Medicine Collaborators: Gladstone Institutes Gene therapyGenome editing/CRISPRMendelian disorderMolecular therapeutics
Center for Cerebrovascular Researchccr.ucsf.edu Wet + dry lab~30 people 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. 58 papers since 2024 › Guidelines for the Diagnosis and Clinical Management of Cavernous Malformations of the Brain and Spinal Cord: Consensus Recommendations Based on a Systematic Literature Review by the Alliance to Cure Cavernous Malformation Clinical Advisory Board Experts Panel Neurosurgery, 2025 Somatic mutations in arteriovenous malformations in hereditary hemorrhagic telangiectasia support a bi-allelic two-hit mutation mechanism of pathogenesis The American Journal of Human Genetics, 2024 Mild Hypoxia Accelerates Cerebral Cavernous Malformation Disease Through CX3CR1-CX3CL1 Signaling Arteriosclerosis Thrombosis and Vascular Biology, 2024 Source: OpenAlex author A5073116324 Funded by Cindy and Dale Raaen in honor of Allison Noelle Raaen, The Michael Ryan Zodda Foundation for AVM Awareness +5 more › Cindy and Dale Raaen in honor of Allison Noelle Raaen · active “Cindy and Dale Raaen in honor of Allison Noelle Raaen” The Michael Ryan Zodda Foundation for AVM Awareness · active “the michael ryan zodda foundation for avm awareness” Leslie Munzer Neurovascular Research Fund · active “Leslie Munzer Neurovascular Research Fund” +4 more on the lab page Source: lab pages 10 platforms and techniques › Works with cell-free DNA screening, whole methylome sequencing, methylome arrays, MRI Techniques animal models, cell biology, human genetics, AAV-vector delivery, blood epigenetic profiling, treatment outcomes research Source: lab pages No openings posted	Poster Thu Oct 22 4:15 pm Uncovering Cell-Type-Specific Gene Expression and Regulatory Variants in Familial Cerebral Cavernous Malformation Molecular Effects of Genetic Variation Collaborators: Rowan University GenomicsMalformationMicroarrays
Condello Labcondellolab.ucsf.edu Wet + dry lab~16 people 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. 31 papers since 2024 › Type-I-interferon-responsive microglia shape cortical development and behavior Cell, 2024 Cryo-EM structures reveal tau filaments from Down syndrome adopt Alzheimer’s disease fold Acta Neuropathologica Communications, 2024 Expanding the Prion Paradigm to Include Alzheimer and Parkinson Diseases JAMA Neurology, 2024 Source: OpenAlex author A5091904954 Funded by CIRM, NIH +3 more › CIRM, UCSF CIRM Scholars Fellowship · 2025 “Emily Graham receives the UCSF CIRM Scholars Fellowship!” NIH, F31 award · 2025 “Stephanie Huard receives the NIH F31 award!” NIH, K99/R00 award · 2024 “Yang for receiving the NIH K99/R00 award from the National Institute on Aging!” +2 more on the lab page Source: lab pages 15 platforms and techniques › Runs Visium ST, single nucleus RNA sequencing, spatial transcriptomics, metabolomics, confocal microscopy, EMBER, immunohistochemistry Techniques immunohistochemistry, confocal microscopy, PCA, UMAP, machine-learning-based clustering, Tg12099 transgenic rat model, CRISPR screens, iPSC-derived neurons Source: lab pages Currently hiring › “If you are interested in joining our lab, please inquire via email about potential openings!” Source: lab positions page	Symposium Wed Oct 21 9:05 am Sex modifies APOE ε4 effects on human microglial states across Alzheimer's disease progression Genomics of Sex Differences and Reproductive State Across the Life Course: Context, Timing, and Biological Transitions
Coyote-Maestas Labwcoyotelab.com Wet + dry lab~10 people Develops CRISPRi libraries, deep-mutational-scanning platforms and membrane-protein assays. Studies GPCRs, transporters and ion channels for disease mechanisms and therapeutics. 4 papers since 2024 › Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace Figshare, 2026 Additional file 1 of Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace Figshare, 2026 Source: OpenAlex author A5126428517 Funded by Chan Zuckerberg Biohub › Chan Zuckerberg Biohub, Investigator · active Philanthropic science funding from the Chan Zuckerberg Initiative. “Chan Zuckerberg Biohub Investigator” Source: lab pages 12 platforms and techniques › Runs CRISPRi libraries, Deep mutational scanning, Mutational scanning platforms, Membrane-protein assays, Microfluidics platform, Electrophysiology Techniques Mechanistic genetic screening, Deep mutational scanning, CRISPRi, Quantitative biophysical modeling, Machine learning, Protein structure prediction Source: lab pages Currently hiring › “We are actively looking for motivated and talented people to join our team!” Source: lab positions page	Poster Fri Oct 23 2:30 pm Comprehensive Mapping of CFTR Variant-Drug Interactions Enables Genotype-Guided Precision Therapy in Cystic Fibrosis Pharmacogenomics PharmacogenomicsMolecular therapeuticsVariant interpretationPrecision medicine
Hernandez Labhernandezlab.ucsf.edu Dry lab~7 people Analyzes pooled sequencing and RNA-sequencing data with population-genetic simulations. Studies human disease genetics, host-pathogen interactions and the 1000 Genomes Project. 15 papers since 2024 › Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk Nature Genetics, 2025 CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome biology, 2024 Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas Cell Genomics, 2024 Source: OpenAlex author A5005352234 Funded by NSF › NSF, Graduate Research Fellowship · active “Raul is a graduate student in the Biomedical Sciences Graduate Program and an NSF Graduate Research Fellow.” Source: lab pages 11 platforms and techniques › Analyzes RNA-sequencing, Pooled sequencing, Population-scale sequencing Techniques Population genetic simulations, Population genetic modeling, Background-selection models, Phylogenetic and population genetic techniques, Admixture mapping, EHH, iHS and XP-EHH scans, Forward population-genetic simulation, Rhesus macaque, cows and rice Source: lab pages Currently hiring › “We are currently seeking excited postdocs and graduate students with experience or a strong desire to learn computational biology” Source: lab positions page	Poster Thu Oct 22 4:15 pm Reconstructing Low Coverage Germline Genomes From Clinical Tumor Panels to Investigate the Role of Genetic Ancestry in Cancer Disparities. Cancer CancerGenomicsBioinformatics
Torgerson-Hernandez Lab (THeLab)thelab.ucsf.edu Dry lab~11 people Studies genetic variation and complex traits using population genetics, statistical modeling and multi-omic data. Focuses on evolution, ancestry, molecular phenotypes and treatment response. 5 platforms and techniques › Analyzes RNA-sequencing Techniques population genetics, statistical modeling, bioinformatic analyses, admixture mapping Source: lab pages No funding stated · No openings posted	Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Data-analysis biases are exacerbating GWAS representation gaps Genetic Counseling, ELSI, and Education BioinformaticsEthical, legal, and social implicationsGenome-wide association studyMachine learning
Ziv Labzivlab.ucsf.edu Dry lab~7 people 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. 115 papers since 2024 › Risk-Based vs Annual Breast Cancer Screening JAMA, 2025 CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome biology, 2024 Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis Nature Communications, 2024 Source: OpenAlex author A5057537193 Funded by NCI, NCI +2 more › NCI, P20 · 6/2024 “6/2024: We were awarded a P20 by NCI to study health disparities in immuno-oncology” Marcus Precision Medicine Award · 9/2024 “Elad, Yin Shen and Jennifer Rosenbluth are awarded a Marcus Precision Medicine Award” NCI · active “This project is a collaboration with Susan Neuhuasen at City of Hope and funded by NCI.” +1 more on the lab page Source: lab pages 8 platforms and techniques › Analyzes Whole exome sequencing (WES), Paired tumor/normal whole exome sequencing, RNA-seq, Targeted sequencing Techniques Genome-wide association studies, Genetic admixture, Rare-variant association analysis, Somatic mutation and copy-number analysis Source: lab pages No openings posted	Poster Fri Oct 23 2:30 pm GWAS of tumor transposable element expression reveals germline determinants of the tumor immune microenvironment Cancer Collaborators: Beckman Research Institute CancerExpression quantitative trait lociGenetic epidemiologyGenome-wide association study
Werling Labwerling.genetics.wisc.edu Works in computational genetics and reproductive and prenatal genetics. 13 papers since 2024 › A T2T-CHM13 recombination map and globally diverse haplotype reference panel improves phasing and imputation bioRxiv (Cold Spring Harbor Laboratory), 2025 Whole genome sequencing analysis identifies sex differences of familial pattern contributing to phenotypic diversity in autism Genome Medicine, 2024 CWAS-Plus: estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data Briefings in Bioinformatics, 2024 Source: OpenAlex author A5026247494	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 Prenatal, Perinatal, Reproductive, and Developmental Genetics Collaborators: University of Wisconsin–Madison, Yale University +2 more BioinformaticsGenetic variationNeurodevelopmentalNon-coding RNA
4 more presenters — research group not yet identified

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