New York Genome Center at ASHG 2026
Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website
New York Genome Center brings 8 presentations from 3 research groups to ASHG 2026 in Montréal. Its program centres on cancer, population genetics, and computational genomics. Singh Lab brings multi-ancestry schizophrenia and bipolar disorder mapping, Knowles Lab brings biobank-scale splicing analysis, and Lappalainen Lab brings CRISPR editing of genetic effects on splicing.
| Organization | ASHG 2026 Attendance |
|---|---|
New York Genome Center New York, New York | 5 Postdocs · 3 Staff Scientists |
Singh Labtjsinghlab.com/our-team 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.
| 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 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 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 biobanksDepressionLarge-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 Alternative splicingBrain/nervous systemLong-read sequencingNeurogenetics |
Knowles Labnygenome.org/science-technology/faculty-labs/knowles-lab 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.
| Poster Wed Oct 21 2:30 pm Biobank-scale Bayesian TWAS reveals splicing-mediated mechanisms of complex disease 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 Alzheimer’s diseaseArtificial intelligenceComplex diseasesDeep learning |
Lappalainen Labtllab.org Analyzes genome, transcriptome/RNA-seq, epigenomic and cellular data, and develops CRISPRi/a experiments. Studies genetic regulation of human traits and disease.
| Poster Wed Oct 21 2:30 pm Allele-specific expression analysis in dGTEx captures changes in regulatory effects and imprinting during human pediatric development 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 Alternative splicingComplex traitsGenome editing/CRISPRRNA |
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