Tulane University at ASHG 2026
Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website
Tulane University brings 11 presentations from 4 research groups to ASHG 2026 in Montréal. Its program centres on rare disease, population genetics and computational genetics. The Deng Lab presents ancestry-specific DNA methylation mechanisms in bone mineral density, the Reiter Lab tests anti-epileptic screening in Drosophila, and Multi-omics and Trans-omics Biostatistics and Bioinformatics Genetics of Complex Diseases identifies therapeutic genes and repurposable drugs for sarcopenia.
| Organization | ASHG 2026 Attendance |
|---|---|
Tulane University New Orleans, Louisiana | 10 PhD Students |
Deng Labmedicine.tulane.edu/… Studies osteoporosis genetics using genome-wide association, transcriptome, proteome, epigenome, single-cell sequencing and electronic health-record data. Extends to obesity, sarcopenia and periodontitis.
| Poster Wed Oct 21 2:30 pm CoSARD: a cross-modal support-aware representation decomposition framework for integrative and multi-level characterization of spatial multi-omics data BioinformaticsDeep learningComputational toolsMulti-omics Poster Thu Oct 22 4:15 pm Robust and interpretable metagenomic modeling through structure-aware multi-view learning and attribution-guided biological insight Artificial intelligenceBioinformaticsBone/joint abnormalitiesComplex traits Poster Thu Oct 22 4:15 pm Genetically predicted DNA methylation reveals shared and ancestry-specific cis-regulatory mechanisms underlying bone mineral density variation Complex traitsEpigeneticsEpigenome-wide association studiesMethylation Poster Thu Oct 22 4:15 pm A cross-species single-cell framework reveals conserved and divergent signaling programs governing osteoblast–osteoclast communication BioinformaticsSkeletal systemSingle-cell Poster Thu Oct 22 4:15 pm Spatial Transcriptomic Profiling of the Aged Mouse Femur Reveals Domain-Specific Gene Expression and Intercellular Signaling Networks Spatial transcriptomicsSkeletal systemTranscriptomeBioinformatics Poster Fri Oct 23 2:30 pm Spatial transcriptomics reveals microenvironmental heterogeneity and metabolic rewiring in osteoarthritic subchondral bone Skeletal systemSpatial transcriptomicsSystems biologyBone/joint abnormalities |
Reiter Labreiterlab.org Runs Drosophila epilepsy models and patient-derived dental pulp stem-cell cultures, with scRNAseq and RNAscope access. Studies chromosome 15q disorders, autism and epilepsy.
| Poster Wed Oct 21 2:30 pm Optimized anti-epileptic screening for pharmacoresistant epilepsy using Drosophila AutismComputational toolsEpilepsyIntellectual and developmental disability Poster Fri Oct 23 2:30 pm |
Multi-omics and Trans-omics Biostatistics and Bioinformatics Genetics of Complex Diseasesresearchnetwork.tulane.edu/research-listing/multi-omics-and-trans-omics-biostatistics-and-bioinformatics-genetics-of-complex-diseases Analyzes genome-wide association, transcriptome, proteome, epigenome-wide and single-cell sequencing data with statistical and bioinformatic methods. Studies osteoporosis, obesity and sarcopenia through the Louisiana Osteoporosis Study cohort.
| Poster Wed Oct 21 2:30 pm Integrative eQTL-Informed Genomic and Causal Inference Framework Reveals Candidate Therapeutic Genes and Repurposable Drugs for Sarcopenia-Related Traits Genome-wide association studyExpression quantitative trait lociCandidate geneMendelian randomization |
Shen Lab Works in population genetics and computational genetics. | Poster Wed Oct 21 2:30 pm Multi-Omics Integration Prioritizes Regulatory Biomarkers of Bone Mineral Density in Men Bone/joint abnormalitiesEpigeneticsBioinformaticsMachine learning Poster Thu Oct 22 4:15 pm High-Definition Spatial Transcriptomics of Mouse Femoral Head Reveals Bone-Muscle Crosstalk and Maps Niche-Specific BMD Genetic Risk via GWAS Integration Bone/joint abnormalitiesGenome-wide association studyMulti-omicsMuscular abnormalities |
Instantly find 20 buyers from Tulane University
Get a list of who you should contact, their contact info, and what to say.
Totally free and instant, no sign up necessary!
Not affiliated with or endorsed by the American Society of Human Genetics. Submit a correction