Cleveland Clinic at ASHG 2026

Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website

Cleveland Clinic brings 6 presentations from 3 research groups to ASHG 2026 in Montréal. Its program centres on cancer genetics, computational genomics and therapeutic discovery at the meeting. Cheng Laboratory brings ancestry-specific Alzheimer’s drug targets and 12 million brain transcriptomes, Ying Ni Laboratory brings gene-specific cancer patterns, and Cleveland Clinic Genome Center brings 3D DNA models of Alzheimer’s variants.

Organization	ASHG 2026 Attendance
Cleveland Clinic Cleveland, Ohio	3 Postdocs · 1 Clinician · 1 PI
Cheng Laboratorylerner.ccf.org/genomic-sciences-systems-biology/cheng Wet + dry lab~1 people Analyzes single-cell transcriptomics, proteomics, metabolomics, radiomics, genetics and EHR data with AI and network medicine. Identifies drug targets for Alzheimer’s disease and dementia. 98 papers since 2024 › Alzheimer's disease drug development pipeline: 2025 Alzheimer s & Dementia Translational Research & Clinical Interventions, 2025 Alzheimer's disease drug development pipeline: 2024 Alzheimer s & Dementia Translational Research & Clinical Interventions, 2024 A Foundation Model Identifies Broad-Spectrum Antimicrobial Peptides against Drug-Resistant Bacterial Infection Nature Communications, 2024 Source: OpenAlex author A5021122269 Funded by NIH/NIA, NHLBI +2 more › NIH/NIA, R01s and U01 · active The NIH's standard multi-year research project grant. “Supported by NIH/NIA awards (R01s and U01)” NHLBI · active “Supported by NHLBI, our team has developed several state-of-the-art systems pharmacology and network medicine approaches in cardio-oncology” National Institutes of Health · five-year “Backed by a five-year, $4 million grant from the National Institutes of Health” +1 more on the lab page Source: lab pages 16 platforms and techniques › Works with GenT, M3SB, The Alzheimer’s Cell Atlas, AlzGPS, Single-cell/nucleus RNA-sequencing, Electronic health records, GWAS, High-throughput drug screening using patient iPSC-derived models Techniques Deep learning, Network medicine, Systems pharmacology, Multimodal single-cell/nucleus genomics and epigenomics analysis, Patient-derived iPSC models, Brain organoids, Transgenic mouse models, Protein-protein interactome analysis Source: lab pages Currently hiring › “We have multiple postdoc and graduate student positions available for NIH-funded Network Medicine and Artificial Intelligence projects (U01 and R01s).” Source: lab positions page	Poster Fri Oct 23 2:30 pm Part of Artificial Intelligence and Machine Learning Poster Friday Session Combining genetics with real-world patient data enables ancestry-specific target identification and drug discovery in Alzheimer’s disease: A Case Study From the NIH/NIA ADSP-AI/ML Consortium Exhibit & Poster Hall · Board 8057F Collaborators: Case Western Reserve University Alzheimer’s diseaseArtificial intelligenceBioinformaticsExpression quantitative trait loci Poster Fri Oct 23 2:30 pm Part of Mendelian Phenotypes Poster Friday Session AI foundation model-based integrative analysis of 12 million single-nucleus transcriptomes reveal cellular architecture and cell type-specific pathways of co-pathologies in ADRDs and brain resilience Exhibit & Poster Hall · Board 1074F Alzheimer’s diseasePathogenesisSingle-cellNeurodegeneration
Ying Ni Laboratorylerner.ccf.org/immunotherapy/ni Dry lab~1 people Integrates germline and tumor genomics, transcriptomics, metabolomics, immune and clinical data. Develops cancer-risk prediction and precision-oncology tools using hereditary cancer cohorts and All of Us. 165 papers since 2024 › In-situ construction of highly durable Cuδ+ species boosting electrocatalytic reduction of CO2 to C2+ products Applied Catalysis B: Environmental, 2025 CTLA4 blockade abrogates KEAP1/STK11-related resistance to PD-(L)1 inhibitors Nature, 2024 Geniposide ameliorates diabetic nephropathy in type 2 diabetic mice by targeting AGEs-RAGE-dependent inflammatory pathway Phytomedicine, 2024 Source: OpenAlex author A5088453711 16 platforms and techniques › Analyzes Whole-genome sequencing, Whole-exome sequencing, Single-cell and single-nucleus transcriptomics, Spatial transcriptomics, Proteomics, Metabolomics, Cell-free DNA, cBioPortal Techniques Genome-scale metabolic modeling, Flux balance analysis, Statistical genetics, Machine learning, Predictive modeling, Clinical cohort discovery, Trial matching, Immune profiling Source: lab pages Currently hiring › “Highly motivated individuals with a PhD or MD/PhD in relevant area are encouraged to apply.” Source: lab positions page No funding stated	Talk Thu Oct 22 11:30 am Part of Cancer Susceptibility: Germline Effects on Risk, Mechanisms, and Mutations Gene-specific cancer patterns among pathogenic germline variant carriers Room 710B/Level 7 Collaborators: Cleveland Clinic Lerner College of Medicine CancerGenetic epidemiologyCancer syndromesRisk assessment
Cleveland Clinic Genome Center Works in computational genetics.	Poster Wed Oct 21 2:30 pm Part of Artificial Intelligence and Machine Learning Poster Wednesday Session Neuronal and microglial fine-tuned 3D DNA foundation models dissect genetic variants in Alzheimer’s disease Exhibit & Poster Hall · Board 8092W Collaborators: Case Western Reserve University Alzheimer’s diseaseArtificial intelligenceChromatin
2 more presenters — research group not yet identified

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