ASHG 2026 · Tier 1 Academic

Stanford University at ASHG 2026

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

Stanford, California

Stanford University at ASHG 2026 in Montréal: 43 presentations (31 posters, 5 featured symposia, 3 lightning talks); 15 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
Stanford University Stanford, California	17 Postdocs · 11 PhD Students · 5 PIs · 3 Staff Scientists
Montgomery Labmed.stanford.edu/montgomerylab.html Wet + dry lab~15 people Uses next-generation RNA sequencing with bioinformatics and statistical genetics to study genetic effects on gene expression. Applies multi-omics and computational strategies to rare-disease diagnosis. 59 papers since 2024 › Temporal dynamics of the multi-omic response to endurance exercise training Nature, 2024 De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome Nature, 2024 Deciphering the impact of genomic variation on function Nature, 2024 Source: OpenAlex author A5025409424 Funded by NHGRI, NIH Common Fund +1 more › NHGRI, PhD T32 Training Grant · active “he serves as a co-director of an NHGRI PhD T32 Training Grant” The Dutch Research Council (NWO/ZonMW), Rubicon Fellowship · active “awarded the esteemed Rubicon Fellowship from The Dutch Research Council (NWO/ZonMW)” NIH Common Fund, MoTrPAC study · 2024 “his lab led major analyses in the NIH Common Fund MoTrPAC study” Source: lab pages 10 platforms and techniques › Works with next-generation RNA sequencing, ATAC-seq, nanopore long-read genome sequencing Techniques CRISPR gene editing, statistical genetics, machine learning for genomics, cell type deconvolution, Bayesian inference and modeling, splicing outlier detection, long non-coding RNA identification Source: lab pages Currently hiring › “We are always interested in applications from talented and committed individuals” Source: lab positions page	Symposium Wed Oct 21 8:15 am Introduction Unique Considerations for Deceased Human Donor Tissue Biobanks to Support Innovative Genomic Studies in“Also, I am chairing the committee and if you have frustrations, you can always send me an email and let me know.” Symposium Wed Oct 21 9:40 am Closing remarks Unique Considerations for Deceased Human Donor Tissue Biobanks to Support Innovative Genomic Studies in“Also, I am chairing the committee and if you have frustrations, you can always send me an email and let me know.” Talk Wed Oct 21 2:11 pm Functional analysis of somatic variants across multiple tissues in SMaHT Advancing Precision Oncology with AI, Functional Genomics, and Multi-Omics: From Risk Prediction to Tumor Evolution and Therapeutic Discovery Collaborators: Broad Institute, University of Washington +1 more Gene regulationLong-read sequencingMosaicismMulti-omics Talk Wed Oct 21 2:15 pm Biobank-scale molecular profiling refines interpretation of rare recessive alleles in Mendelian disease genes Clinical Genetics Across the Lifespan: From Gene Discovery to Prenatal, Developmental, and Pharmacogenomic Insights Collaborators: Broad Institute BioinformaticsGene regulationGenetic variationIdentification of disease genes Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Identifying disease variants using deep learning predictions and personal multi-omics Artificial Intelligence and Machine Learning Deep learningMulti-omicsRare variantsVariant interpretation Moderator Thu Oct 22 8:15 am Sequence Models Transforming Genetics and Genomics Poster Thu Oct 22 4:15 pm Mapping gene-by-exercise effects in the MoTrPAC human exercise cohort using deep learning and multi-omics Artificial Intelligence and Machine Learning Collaborators: Duke University, Cedars-Sinai Medical Center Cardiovascular systemComplex traitsDeep learningGene environment interaction Poster Thu Oct 22 4:15 pm ★ Reviewers’ Choice Biobank-scale molecular profiling refines interpretation of rare recessive alleles in Mendelian disease genes Mendelian Phenotypes Collaborators: Broad Institute BioinformaticsGene regulationGenetic variationIdentification of disease genes Poster Thu Oct 22 4:15 pm ★ Reviewers’ Choice Functional Analysis of Somatic Variants Across Multiple Tissues in SMaHT Cancer Collaborators: Broad Institute, University of Washington +1 more Gene regulationLong-read sequencingMosaicismMulti-omics Symposium Fri Oct 23 8:15 am Introduction AI Across the Diagnostic Odyssey: From Variant Interpretation to Computable Phenotypes Symposium Fri Oct 23 9:40 am Closing remarks AI Across the Diagnostic Odyssey: From Variant Interpretation to Computable Phenotypes
Cardenas Labmed.stanford.edu/cardenas-lab.html Dry lab~9 people Analyzes genome-wide DNA methylation, transcriptomics, metabolomics and miRNA data from human epidemiological studies. Studies environmental exposures, epigenetic aging and early-life adversity. 88 papers since 2024 › Chemical and climatic environmental exposures and epigenetic aging: A systematic review Environmental Research, 2025 Ambient air pollution and urological cancer risk: A systematic review and meta-analysis of epidemiological evidence Nature Communications, 2024 Prenatal exposure to environmental phenols and phthalates and altered patterns of DNA methylation in childhood Environment International, 2024 Source: OpenAlex author A5074833807 Funded by NIH › NIH, U01 · active “In this exposome tri-consortium project (NIH-U01)” Source: lab pages 11 platforms and techniques › Analyzes Genome-wide DNA methylation, Transcriptomics, Metabolomics, miRNAs, Microbiome data Techniques Machine-learning algorithms, Bioconductor, Mixture methods, Multi-omic integration, Epigenetic clocks, Epidemiological analyses Source: lab pages Currently hiring › “We have openings for highly motivated postdoctoral scholars” Source: lab positions page	Poster Wed Oct 21 2:30 pm Epigenome-wide association study of cardiovascular disease biomarkers in postmenopausal women from the Women’s Health Initiative Epigenomics Collaborators: University of California San Diego Epigenome-wide association studiesMethylationCardiovascular systemWomen's health Poster Thu Oct 22 4:15 pm Blood-based epigenome-wide association study in relation to semen parameters in men: novel evidence for systemic correlates of male reproductive function Epigenomics Collaborators: Hanoi School Of Public Health, Massachusetts General Hospital +2 more Epigenome-wide association studiesInfertilityMethylationReproductive genetics Poster Thu Oct 22 4:15 pm Differential Protein Responses to Smoking Among Costa Ricans in a High-Longevity “Blue Zone” Statistical Genetics and Genetic Epidemiology Collaborators: University of British Columbia, Universidad de Costa Rica EpidemiologyEpigeneticsGene environment interactionGenetic epidemiology Poster Thu Oct 22 4:15 pm ★ Reviewers’ Choice Epigenome-Wide Association Study of the Upper-Airway Microbiome Involved in Asthma Exacerbations Despite Inhaled Corticosteroid Treatment Epigenomics Collaborators: Universidad de La Laguna, Hospital Universitario de Canarias +7 more AsthmaMicrobiomeMethylationEpigenome-wide association studies Poster Fri Oct 23 2:30 pm A Novel Next-Generation Epigenetic Clock based on Epigenetic Proxies of Clinical Laboratory Measures Epigenomics Collaborators: University of California San Diego EpigeneticsMethylationMachine learningEpidemiology Moderator Sat Oct 24 8:15 am From Autoimmune Risk Variants to Cell States and Target Genes: Integrative Genetic Dissection of Immune-Mediated Disease
Pritchard Labweb.stanford.edu/group/pritchardlab/labMembers.html Dry lab~14 people Uses statistical and computational methods for human genetics and evolutionary biology. Integrates genetic associations with perturb-seq and OPS to study gene regulation and complex traits. 54 papers since 2024 › Invasive Treatment Strategy for Older Patients with Myocardial Infarction New England Journal of Medicine, 2024 Deciphering the impact of genomic variation on function Nature, 2024 Bayesian estimation of gene constraint from an evolutionary model with gene features Nature Genetics, 2024 Source: OpenAlex author A5051388103 Funded by National Institutes of Health, Howard Hughes Medical Institute +3 more › National Institutes of Health · active “Our work has been generously supported by the National Institutes of Health, the Howard Hughes Medical Institute, the Packard Foundation, the Sloan Foundation, and Burroughs Wellcome Fund.” Howard Hughes Medical Institute · active “Our work has been generously supported by the National Institutes of Health, the Howard Hughes Medical Institute, the Packard Foundation, the Sloan Foundation, and Burroughs Wellcome Fund.” Packard Foundation · active “Our work has been generously supported by the National Institutes of Health, the Howard Hughes Medical Institute, the Packard Foundation, the Sloan Foundation, and Burroughs Wellcome Fund.” +2 more on the lab page Source: lab pages 13 platforms and techniques › Analyzes perturb-seq, OPS, scRNA-seq, short-read RNA-seq, DNase-seq, whole-genome sequencing, ribosome profiling Techniques QTL mapping, CRISPR-based perturbations, gene regulatory network modeling, ancient DNA, Approximate Bayesian Computation, T cells Source: lab pages Currently hiring › “We are currently searching for a staff scientist for the Pritchard lab” Source: lab positions page	Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Genome-scale inference of gene regulatory networks from Perturb-seq enables discovery of regulatory programs underlying complex traits Omics Technologies Computational toolsGene regulationGenome editing/CRISPRMachine learning Moderator Fri Oct 23 1:30 pm Multi-Omics Perspectives on Immune Regulation, Adaptation, and Inflammatory Disease Poster Fri Oct 23 2:30 pm A principled approach to assign directionality and map regulators of trait-relevant gene programs Statistical Genetics and Genetic Epidemiology Collaborators: Helmholtz Munich, Technical University of Munich +3 more Expression quantitative trait lociRare variantsSingle-cell Poster Fri Oct 23 2:30 pm Improving Gene Effect Estimates with Functionally Informed Hierarchical GeneBayes Statistical Genetics and Genetic Epidemiology Statistical geneticsRare variants Talk Sat Oct 24 8:45 am Integrative analysis of variant effects on gene dosage, complex traits, and fitness The Selection Paradox: Why Disease Variants Persist Collaborators: Broad Institute Complex traitsEvolutionary geneticsGene regulationProteomics
Wheeler Labmed.stanford.edu/mattlab.html Wet + dry lab~12 people Analyzes WGS/WES, gene panels, long-read sequencing, RNA-seq, proteomics and multi-omics data. Applies these to rare-disease diagnosis, cardiomyopathy genetics and exercise biology. 123 papers since 2024 › Biomni: A General-Purpose Biomedical AI Agent bioRxiv (Cold Spring Harbor Laboratory), 2025 Temporal dynamics of the multi-omic response to endurance exercise training Nature, 2024 De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome Nature, 2024 Source: OpenAlex author A5053510600 Funded by NIH Office of the Director, Common Fund, NIH National Human Genome Research Institute +7 more › NIH Office of the Director, Common Fund · active “NIH Office of the Director, Common Fund” NIH National Human Genome Research Institute · active “NIH National Human Genome Research Institute” NIH National Institute of Neurological Disorders and Stroke · active “NIH National Institute of Neurological Disorders and Stroke” +6 more on the lab page Source: lab pages 14 platforms and techniques › Analyzes Whole-genome sequencing (WGS), Whole-exome sequencing (WES), Gene panels, Long-read sequencing, RNA-seq, Proteomics Techniques CRISPR-Cas9, CRISPRa screens, Mouse and human cell models, Deep-learning phenotyping, Variant calling and prioritization, Multi-omic data integration, ACMG interpretation guidelines, RNA-based diagnostics and therapeutics Source: lab pages No openings posted	Moderator Thu Oct 22 8:15 am Genetic Associations and Mechanisms in Cardiovascular Disease Poster Thu Oct 22 4:15 pm De Novo LRRC8A Gain-of-Function Variants Are Associated with a Syndromic Neurodevelopmental Disorder Mediated by Constitutive VRAC Activation Mendelian Phenotypes Collaborators: Lyon 1 Université, University of Utah +1 more Clinical geneticsExome/genome sequencingIdentification of disease genesMendelian disorder Poster Thu Oct 22 4:15 pm Individual drivers shaping post-exercise inflammatory stress-to-recovery kinetics: A MoTrPAC study Omics Technologies Collaborators: Icahn School of Medicine at Mount Sinai, Pacific Northwest National Laboratory BioinformaticsGenomicsImmune systemPrecision medicine Poster Fri Oct 23 2:30 pm Integrating Proteomic and Genetic Evidence to Identify Candidate Mutations in Undiagnosed Patients Omics Technologies ProteomicsMulti-omicsIdentification of disease genesClinical genetics Poster Fri Oct 23 2:30 pm Recurrent WWC3 Missense Variants Affecting Asp1053 in Males with a Candidate Syndromic Connective Tissue Disorder and Aortic Root Dilation Mendelian Phenotypes Collaborators: Baylor College of Medicine Candidate geneCharacterization of syndromesClinical geneticsExome/genome sequencing
AGI Labioannidislab.ai Dry lab~23 people Develops computational AI/ML methods for genomics and large-scale biobanks. Targets precision health with large tabular models and population genetics. 24 papers since 2024 › Pan-African model explains Homo sapiens genetic and morphological evolution bioRxiv (Cold Spring Harbor Laboratory), 2025 HyperFast: Instant Classification for Tabular Data Proceedings of the AAAI Conference on Artificial Intelligence, 2024 Genetic Signatures of Positive Selection in Human Populations Adapted to High Altitude in Papua New Guinea Genome Biology and Evolution, 2024 Source: OpenAlex author A5019032304 6 platforms and techniques › Techniques Computational AI/ML, Deep learning, ADMIXTURE-based ancestry inference, Foundation models for tabular data, Genomic dataset processing, Local ancestry inference Source: lab pages No funding stated · No openings posted	Poster Wed Oct 21 2:30 pm Polygenic risk and association beyond additive effects Artificial Intelligence and Machine Learning Collaborators: Universitat Politècnica de Catalunya, University of California, Santa Cruz +1 more Polygenic risk scoreMachine learningComplex traitsX-linked disease Poster Wed Oct 21 2:30 pm mdPCA: dimensionality reduction for highly missing data in population genetics Evolutionary and Population Genetics Collaborators: University of California, Santa Cruz BioinformaticsAncient DNAPopulation geneticsPopulation structure Poster Thu Oct 22 4:15 pm Migration, Settlement, and Selection in Native Hawaiians Molecular Effects of Genetic Variation Collaborators: University of California, Santa Cruz, University of California San Diego Genetic variationPopulation geneticsPharmacogenomics Session Sat Oct 24 8:15 am The Human Pangenome Release 3: Data, Tools, Applications, and Ethics
Witte Labmed.stanford.edu/… Dry lab Analyzes biobanks, cohorts, whole-exome and genome-wide studies with machine learning. Develops risk-stratification, screening and prevention tools with clinical partners. 27 papers since 2024 › A deep catalogue of protein-coding variation in 983,578 individuals Nature, 2024 The PRIMED Consortium: Reducing disparities in polygenic risk assessment The American Journal of Human Genetics, 2024 The full spectrum of SLC22 OCT1 mutations illuminates the bridge between drug transporter biophysics and pharmacogenomics Molecular Cell, 2024 Source: OpenAlex author A5035070420 Funded by National Cancer Institute, NIH › National Cancer Institute · active “His research program has been continuously supported by the National Cancer Institute.” NIH, T32 predoctoral training program · active “He co-directs an NIH T32 predoctoral training program focused on the genetic and environmental basis of cancer risk.” Source: lab pages 5 platforms and techniques › Techniques Machine learning, Polygenic risk scores across ancestries, Bayesian hierarchical modeling, Whole-exome studies, Genome-wide studies Source: lab pages Currently hiring › “We have openings for pre- and post-doctoral trainees.” Source: lab positions page	Poster Wed Oct 21 2:30 pm Uncovering rare variant associations with prostate-specific antigen levels to enhance prostate cancer screening Cancer Collaborators: University of California, San Francisco CancerComplex traitsGenetic epidemiologyIdentification of disease genes Talk Thu Oct 22 8:30 am Moving beyond population labels: Personalizing polygenic risk scores with genetic neighbors From Labels to Landscapes: Leveraging Local Ancestry and the Ancestry Continuum to Maximize Cross-Ancestry Association Polygenic risk scorePopulation structurePrecision medicineStatistical genetics Poster Fri Oct 23 2:30 pm Accounting for selected genetic regulators of prostate-specific antigen levels enhances prediction of aggressive prostate cancer Cancer Collaborators: University of California, San Francisco, University of Helsinki Genetic epidemiologyPrecision medicinePolygenic risk scoreCancer Moderator Sat Oct 24 8:15 am Rethinking Genomic Discovery: New Methods for a Complex Genetic Landscape
Ashley Labashleylab.stanford.edu Wet + dry lab~46 people Sequences whole genomes and develops nanopore diagnostics, and analyzes ECG, echocardiography, cardiac MRI and wearable data. Uses them for genetic diagnosis, cardiomyopathy and precision medicine. 123 papers since 2024 › Almanac — Retrieval-Augmented Language Models for Clinical Medicine NEJM AI, 2024 Temporal dynamics of the multi-omic response to endurance exercise training Nature, 2024 Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank Nature Genetics, 2024 Source: OpenAlex author A5075711252 Funded by NIH, NIH › NIH, Molecular Transducers of Physical Activity Consortium · active “A $170M, NIH-funded project aimed at building the molecular map of physical activity.” NIH, T32 in Myocardial Biology · active “She is also a NIH T32 fellow in Myocardial Biology.” Source: lab pages 16 platforms and techniques › Works with Whole-genome sequencing, Nanopore whole-genome sequencing, Cardiac MRI, Echocardiography, ECG, Wearable devices, In-hospital telemetry, My Heart Counts ResearchKit app Techniques CRISPR-Cas9 genome engineering, Variant-library screening, iPSC differentiation, Stretch-based single-cell systems, Langendorff heart perfusion, Pressure-volume hemodynamics, AAV and lipid-nanoparticle vector design, RNA splicing models Source: lab pages No openings posted	Poster Thu Oct 22 4:15 pm Cardiac RNA-seq prioritizes rare splice-altering variants in dilated cardiomyopathy patients Molecular Effects of Genetic Variation Alternative splicingBioinformatics Poster Thu Oct 22 4:15 pm An in silico framework for evaluating PRS-guided prognostic enrichment in clinical trial design Statistical Genetics and Genetic Epidemiology Polygenic risk scoreStatistical geneticsLarge-scale biobanksPrecision medicine
Klein Labvci-gci-docs.clinicalgenome.org/vci-gci-docs/more-information/about-us/the-team Dry lab~15 people Develops VCI and GCI software infrastructure for gene-disease and variant curation. Makes curated assertions publicly available for genomic medicine. 47 papers since 2024 › Clinical Pharmacogenetics Implementation Consortium Guideline (CPIC) for CYP2D6, ADRB1, ADRB2, ADRA2C, GRK4, and GRK5 Genotypes and Beta‐Blocker Therapy Clinical Pharmacology & Therapeutics, 2024 The Clinical Genome Resource (ClinGen): Advancing genomic knowledge through global curation Genetics in Medicine, 2024 CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome biology, 2024 Source: OpenAlex author A5079887236 Funded by NIH › NIH, ClinGen award · active “The team shares one of the NIH ClinGen awards with Baylor College of Medicine.” Source: lab pages 6 platforms and techniques › Analyzes Variant Curation Interface (VCI), Gene Curation Interface (GCI) Techniques Variant pathogenicity curation, Gene-disease clinical validity curation, Evidence assessment, Expert review Source: lab pages No openings posted	Poster Thu Oct 22 4:15 pm Clinical Genome Resource HLA Working Group: HLA Curation in Complex Diseases Genetic, Genomic, and Epigenomic Resources and Databases Collaborators: University of California, San Francisco, University of Kansas +3 more Clinical geneticsComplex traitsGenotype-phenotype correlationsPrecision medicine Poster Fri Oct 23 2:30 pm DEVELOPING A SCALABLE DATA MODEL ALIGNED WITH THE FORTHCOMING VARIANT CLASSIFICATION STANDARDS Genetic, Genomic, and Epigenomic Resources and Databases Collaborators: Baylor College of Medicine, Broad Institute +2 more BioinformaticsComputational toolsPrecision medicineVariant interpretation
Greicius Labgreiciuslab.stanford.edu Dry lab~11 people Studies Alzheimer’s genetics using long-read sequencing, amyloid PET, tau PET/MR and T1-MRI data. Focuses on rare variants, APOE4 resilience and Alzheimer’s disease pathogenesis. 61 papers since 2024 › Plasma proteomics links brain and immune system aging with healthspan and longevity Nature Medicine, 2025 Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer’s disease Nature Genetics, 2024 Proteo-genomics of soluble TREM2 in cerebrospinal fluid provides novel insights and identifies novel modulators for Alzheimer’s disease Molecular Neurodegeneration, 2024 Source: OpenAlex author A5074761814 Funded by National Institutes of Health › National Institutes of Health, R01AG060747 · active The NIH's standard multi-year research project grant. “This project is funded by the National Institutes of Health: R01AG060747” Source: lab pages 11 platforms and techniques › Analyzes long-read sequencing, T1-MRI, amyloid PET, tau PET/MR scans, spinal fluid proteomics Techniques deep phenotyping, iPSC-derived neurons, post-mortem brain tissue, structural variant discovery, polygenic risk score modeling, genome-wide association analysis Source: lab pages No openings posted	Session Tue Oct 20 1:00 pm Fine-mapping and Colocalization with Structural Variants: Practical Workflows Using GWAS and Multi-omic Summary Statistics Talk Fri Oct 23 1:45 pm Population-scale whole-genome burden analysis identifies rare coding risk genes for Alzheimer's disease and Parkinson's disease New Insights into the Genetic Basis of Neurodegenerative Conditions Alzheimer’s diseaseRare variantsLarge-scale biobanksNeurodegeneration
ClinPGxclinpgx.org/team Dry lab~17 people Curates human genetic variation and gene-drug guidance in PharmGKB, CPIC and PharmCAT. Supports clinical implementation with St. Jude Children's Research Hospital. 4 papers since 2024 › Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Thiopurine Dosing Based on TPMT and NUDT15 Genotypes: 2025 Update Clinical Pharmacology & Therapeutics, 2026 Clinical Pharmacogenetics Implementation Consortium ( CPIC ) Guideline for CYP2D6 Genotype and Use of 5‐ HT 3 Receptor Antagonists: 2026 Update Clinical Pharmacology & Therapeutics, 2026 Global population frequencies of NAT2 star alleles observed in three large biobanks medRxiv, 2026 Source: OpenAlex author A5124373761 Funded by NIH, NIH/NHGRI/NICHD/NIDA/NCI +2 more › NIH · active “ClinPGx is an NIH-funded resource that provides information about how human genetic variation affects response to medications.” NIH/NHGRI/NICHD/NIDA/NCI · active “PharmGKB is a registered trademark of HHS and is financially supported by NIH/NHGRI/NICHD/NIDA/NCI.” , U24HG010615 · active “PharmGKB is managed at Stanford University (U24HG010615).” +1 more on the lab page Source: lab pages 8 platforms and techniques › Works with PharmCAT, Genotype Selection Interface (GSI), PharmDOG, ClinPGx API Techniques Scientific literature curation, Rule-based systems, Genotype and sequence-data annotation, Clinical guideline development Source: lab pages No openings posted	Poster Wed Oct 21 2:30 pm The Clinical Pharmacogenomics Resource (ClinPGx): Pharmacogenomics Curation for Research and Clinical Implementation Pharmacogenomics Collaborators: St. Jude Children's Research Hospital PharmacogenomicsPrecision medicineDatabasesGenotype-phenotype correlations
Division of Medical Geneticsmed.stanford.edu/medicalgenetics.html Wet lab~13 people Develops iPSC models, genome editing, whole-genome sequencing, multi-omics and long-read sequencing for rare genetic disease diagnosis and therapy. Uses GREGoR and NIH Undiagnosed Diseases Network. 180 papers since 2024 › Allergic Rhinitis JAMA, 2024 Dupilumab in patients with chronic spontaneous urticaria (LIBERTY-CSU CUPID): Two randomized, double-blind, placebo-controlled, phase 3 trials Journal of Allergy and Clinical Immunology, 2024 Oral Sebetralstat for On-Demand Treatment of Hereditary Angioedema Attacks New England Journal of Medicine, 2024 Source: OpenAlex author A5084933406 Funded by Stanford Maternal & Child Health Research Institute (MCHRI) › Stanford Maternal & Child Health Research Institute (MCHRI) · active “co-Principal investigator on a grant through the Stanford Maternal & Child Health Research Institute (MCHRI)” Source: lab pages 7 platforms and techniques › Analyzes Whole-genome sequencing, Multi-omics profiling, Long-read genome sequencing Techniques iPSC models, Genome editing, Stem cell-based therapies, Clinical trials Source: lab pages Currently hiring › “We are actively accepting applications for the 2027-2028 AY.” Source: lab positions page	Poster Fri Oct 23 2:30 pm Neuropsychiatric Manifestations in Myhre Syndrome: Expanding the Psychiatric Phenotype to Inform Early Recognition and Multidisciplinary Care Mendelian Phenotypes Collaborators: University of Birmingham, University of Utah +2 more Brain/nervous systemClinical geneticsClinical historyPhenotype
Engreitz Labengreitzlab.org Wet + dry lab~31 people Uses CRISPR screens, Perturb-seq, RNA FlowFISH and computational models to map enhancer-gene regulation. Applies these maps to heart-disease variants and genome-editing therapies. 57 papers since 2024 › Convergence of coronary artery disease genes onto endothelial cell programs Nature, 2024 Deciphering the impact of genomic variation on function Nature, 2024 Multicenter integrated analysis of noncoding CRISPRi screens Nature Methods, 2024 Source: OpenAlex author A5102868909 Funded by NHGRI Genomic Innovator Award, National Human Genome Research Institute +3 more › NHGRI Genomic Innovator Award · active “he is a recipient of the NHGRI Genomic Innovator Award.” National Human Genome Research Institute · active “His research has been supported by the National Human Genome Research Institute” National Heart, Lung, and Blood Institute · active “National Heart, Lung, and Blood Institute” +2 more on the lab page Source: lab pages 16 platforms and techniques › Works with CRISPRi tiling, RNA FlowFISH, large-scale Perturb-seq, bulk ATAC-seq, DNase-seq, single-cell ATAC-seq, multiomic single-cell RNA+ATAC-seq, Hi-C Techniques massively parallel genetic screens, CRISPRi tiling, RNA FlowFISH, Perturb-seq, genome editing, cardiac organoids, cellular and animal models, RNA Antisense Purification Source: lab pages Currently hiring › “Current open positions (Jan 2026): We are looking for creative and passionate people at any stage in their careers” Source: lab positions page	Plenary Thu Oct 22 3:27 pm Coding and noncoding risk variants for congenital heart defects map to gene regulatory networks in valve cells Awards Recognition & Plenary Abstract Session II Collaborators: Lawrence Berkeley National Laboratory, Massachusetts General Hospital +8 more Gene regulationGenetic variationCardiovascular systemDevelopment
Stanford Prevention Research Centerprevention.stanford.edu ~58 people Conducts interdisciplinary disease-prevention research using experimental methods, genomics, data science and epidemiology. Tests and disseminates prevention and control programs for chronic disease and population health. 95 papers since 2024 › First myocardial infarction: risk factors, symptoms, and medical therapy European Heart Journal, 2025 Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography European Heart Journal, 2024 Atherosclerosis quantification and cardiovascular risk: the ISCHEMIA trial European Heart Journal, 2024 Source: OpenAlex author A5051674313 Funded by NIH, National Cancer Institute +3 more › NIH · active “Today, SPRC faculty lead research funded by the NIH, other federal and state sponsors, corporations, and philanthropic organizations.” National Cancer Institute · active “manages a portfolio of grants from the National Cancer Institute, the Tobacco-Related Disease Research Program, and the California Department of Public Health” Tobacco-Related Disease Research Program · active “manages a portfolio of grants from the National Cancer Institute, the Tobacco-Related Disease Research Program, and the California Department of Public Health” +2 more on the lab page Source: lab pages 8 platforms and techniques › Techniques genomics, epigenetics, geographic information systems, artificial intelligence algorithms, biomarker research, ecological momentary assessment, clinical trials, statistical methods and analytic software Source: lab pages Currently hiring › “Applications are accepted throughout the year.” Source: lab positions page	Poster Wed Oct 21 2:30 pm Leukocyte DNA methylation signatures for atherosclerotic cardiovascular disease risk prediction in the Million Veteran Program Epigenomics Collaborators: Stanford Cardiovascular Institute, VA Palo Alto Health Care System +6 more Cardiovascular systemEpigeneticsEpigenome-wide association studiesMethylation
Snyder Labmed.stanford.edu/snyderlab/people/postdocs.html Wet + dry lab~32 people Develops proteome chips, high-resolution tiling arrays, ChIP-seq, paired-end sequencing and RNA-Seq technologies. Applies personal omics profiling to regulatory networks, human variation and disease. 246 papers since 2024 › Nonlinear dynamics of multi-omics profiles during human aging Nature Aging, 2024 Validation of biomarkers of aging Nature Medicine, 2024 Temporal dynamics of the multi-omic response to endurance exercise training Nature, 2024 Source: OpenAlex author A5024120181 Funded by Advanced Research Projects Agency for Health, National Institutes of Health › Advanced Research Projects Agency for Health · May 2026 “Professor [name] and team have been awarded $34 million from the Advanced Research Projects Agency for Health to measure age-related decline.” National Institutes of Health, Whole Person Physiome Program · September 2025 “NIH grant launches Whole Person Physiome Program” Source: lab pages 13 platforms and techniques › Runs Proteome chips, High-resolution tiling arrays, ChIP-seq, Paired-end sequencing, De novo genome sequencing, RNA-Seq, Integrated Personal Omics Profiling (iPOP) Techniques iPS cells, Machine learning, Organoid model systems, Transcription-factor binding-site mapping, Structural-variation mapping, Longitudinal omics profiling Source: lab pages Currently hiring › “Talented individuals looking for postdoctoral, and graduate opportunities, please contact Dr. Snyder” Source: lab positions page	Moderator Wed Oct 21 11:00 am Mapping Genetic Relatedness at Biobank Scale: Uncovering Hidden Signal from Rare Variants to Parent-of-Origin Effects
Stanford Center for Biomedical Informatics Research (BMIR)bmir.stanford.edu Works in computational genetics.	Talk Wed Oct 21 2:19 pm The MoTrPAC Data Hub: Resources for the molecular map of exercise Advances in Population Genetics, Genetic Epidemiology, and Omics ProteomicsMetabolomicsComputational toolsEpigenetics Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice The MoTrPAC Data Hub: Resources for the Molecular Map of Exercise Omics Technologies Computational toolsEpigeneticsMetabolomicsProteomics
3 more presenters — research group not yet identified

Meeting Stanford University in Montréal?

Get in-depth attendee and institution profiles and research, to plan your meetings in Montréal. Leave your work email and we’ll be in touch.

Not affiliated with or endorsed by the American Society of Human Genetics. Submit a correction