ASHG 2026 · Tier 2–3 Academic

New York Genome Center at ASHG 2026

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

New York, New York

New York Genome Center at ASHG 2026 in Montréal: 8 presentations (8 posters); 3 research groups.

presentations on the program

research groups identified

Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

Organization	ASHG 2026 Attendance
New York Genome Center New York, New York	5 Postdocs · 3 Staff Scientists
Singh Labtjsinghlab.com/our-team Dry lab~11 people Analyzes DNA sequencing, EHR, neuroimaging, DEXA and bulk/single-cell multi-omics data. Studies mental-illness genetics with the Genome Psychiatry Cohort and BD2 Genetics Platform. Funded by Brain and Behavior Research Foundation, Breakthrough Discoveries for Thriving with Bipolar Disorder +1 more › Brain and Behavior Research Foundation · active “Brain and Behavior Research Foundation” Breakthrough Discoveries for Thriving with Bipolar Disorder, BD2 · active “BD2 : Breakthrough Discoveries for thriving with Bipolar Disorder” Precision Medicine at Columbia · active “Precision Medicine at Columbia” Source: lab pages 11 platforms and techniques › Analyzes whole-genome sequencing, bulk- and single-cell multi-omics, long-read sequencing, electronic health record (EHR) data, brain neuroimaging, DEXA imaging Techniques machine learning, meta-analyses of sequence data, genome engineering, patient-derived cellular models, stem cell-derived neurons Source: lab pages Currently hiring › “We are actively looking to expand our team at all levels right now!” Source: lab positions page	Poster Thu Oct 22 4:15 pm Integrating bulk and single nucleus RNA-seq to resolve developmental expression trajectories of genes implicated in brain and cognitive traits Molecular Effects of Genetic Variation Collaborators: Columbia University BioinformaticsBrain/nervous systemNeurodevelopmentalPsychiatric genetics Poster Thu Oct 22 4:15 pm Multi-ancestry Fine-mapping of Psychiatric GWAS Prioritize 1094 Causal Variants for Schizophrenia and Bipolar Disorder Complex Traits and Polygenic Disorders Collaborators: Columbia University Genome-wide association studyLarge-scale biobanksPsychiatric geneticsStatistical genetics Poster Thu Oct 22 4:15 pm ★ Reviewers’ Choice An ML-refined depression phenotype enables discovery of nine genes from ultra-rare coding variants across 586,316 individuals in two biobanks Complex Traits and Polygenic Disorders Collaborators: Columbia University DepressionLarge-scale biobanksMachine learningPsychiatric genetics Poster Thu Oct 22 4:15 pm A high-depth long-read transcriptome of human prefrontal cortex reveals distributed isoform usage in brain-expressed genes Omics Technologies Collaborators: Columbia University Alternative splicingBrain/nervous systemLong-read sequencingNeurogenetics
Knowles Labnygenome.org/science-technology/faculty-labs/knowles-lab Wet + dry lab~20 people Develops machine-learning methods for bulk RNA-seq, single-cell, spatial and long-read transcriptomics. Studies splicing-mediated genetic mechanisms of human disease with NYGC, Columbia and disease-focused collaborators. 51 papers since 2024 › Phenotypic complexities of rare heterozygous neurexin-1 deletions Nature, 2025 SingleBrain: A Meta-Analysis of Single-Nucleus eQTLs Linking Genetic Risk to Brain Disorders medRxiv, 2025 A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data Genome Research, 2024 Source: OpenAlex author A5012226169 15 platforms and techniques › Works with bulk RNA-seq, single nuclei RNA-seq, spatial transcriptomics, long-read RNA-seq, Smart-seq2, PacBio long-read sequencing, whole-genome sequencing Techniques LeafCutter, CRISPR/Cas13d isoform knockdown, iPSC-derived cardiomyocytes, Bayesian fine-mapping, QTL mapping, deep-learning variant-effect prediction, causal gene-regulatory-network inference, forward genetic screens Source: lab pages No funding stated · No openings posted	Poster Wed Oct 21 2:30 pm Biobank-scale Bayesian TWAS reveals splicing-mediated mechanisms of complex disease Molecular Effects of Genetic Variation Collaborators: Columbia University Alternative splicingGenome-wide association studyRNA-seqStatistical genetics Poster Wed Oct 21 2:30 pm Machine Learning-Based Prediction of Cell-type Resolved Brain eQTLs Enhances Discovery of Variants Explaining Alzheimer’s Disease Heritability Artificial Intelligence and Machine Learning Collaborators: University of Bologna, Columbia University +1 more Alzheimer’s diseaseArtificial intelligenceComplex diseasesDeep learning
Lappalainen Labtllab.org Wet + dry lab~13 people Analyzes genome, transcriptome/RNA-seq, epigenomic and cellular data, and develops CRISPRi/a experiments. Studies genetic regulation of human traits and disease. 51 papers since 2024 › The human and non-human primate developmental GTEx projects Nature, 2025 Genetic and molecular architecture of complex traits Cell, 2024 Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects The American Journal of Human Genetics, 2024 Source: OpenAlex author A5064165945 Funded by European Research Council › European Research Council, ERC Consolidator award · active “This is the premise of my recently awarded ERC Consolidator award” Source: lab pages 9 platforms and techniques › Works with RNA-sequencing, CRISPRi/a system Techniques Molecular QTL analysis, CRISPR inhibition at enhancers, Gene-dosage titration, Noninvasive biospecimen sampling for RNA sequencing, Multi-omics data integration, Allele-specific expression analysis, Long-read sequencing Source: lab pages Currently hiring › “Active open positions are advertised on NYGC and KTH websites and on social media.” Source: lab positions page	Poster Wed Oct 21 2:30 pm Allele-specific expression analysis in dGTEx captures changes in regulatory effects and imprinting during human pediatric development Epigenomics Collaborators: Barcelona Supercomputing Center, Johns Hopkins University +2 more DevelopmentEpigeneticsGene environment interactionGenetic variation Poster Wed Oct 21 2:30 pm Pooled CRISPR base editing and single-cell RNA sequencing enables scalable detection of genetic variant effects on splicing Molecular Effects of Genetic Variation Collaborators: University of Toronto, KTH Royal Institute of Technology +2 more Alternative splicingComplex traitsGenome editing/CRISPRRNA

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