Cedars-Sinai Medical Center at ASHG 2026
Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website
Cedars-Sinai Medical Center brings 6 presentations from 4 research groups to ASHG 2026 in Montréal. Its program at this meeting centres on cancer genetics, population and computational genetics, and clinical applications. The Jones Lab presents inherited structural variants in breast and ovarian cancer, the McGovern Lab improves genetic discovery with iterative polygenic scores, and the Peng Lab optimizes polygenic scores for clinical use.
| Organization | ASHG 2026 Attendance |
|---|---|
Cedars-Sinai Medical Center Los Angeles, California | 2 PhD Students · 1 Staff Scientist |
Jones Labcedars-sinai.edu/health-sciences-university/research/labs/jones.html Studies inherited cancer risk and tumor-genome progression using Oxford Nanopore long-read sequencing, spatial proteomic profiling and multi-omic analyses. Focus is ovarian cancer.
| Poster Thu Oct 22 4:15 pm Germline structural variants are risk alleles for breast and ovarian cancer CancerCopy number/structural variationGenome-wide association study |
McGovern Labcedars-sinai.edu/health-sciences-university/research/labs/mcgovern/members.html Generates and analyzes genetic, genomic, microbiome and clinical data in the MIRIAD IBD database. Studies gene discovery, disease behavior and therapy response in inflammatory bowel disease.
| Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice IterPRS: iterative polygenic-score conditioning using GWAS summary statistics to greatly improve genetic discoveryComplex traitsGenome-wide association studyPolygenic risk score |
Peng Labcedars-sinai.edu/health-sciences-university/research/labs/peng.html Uses statistical and machine-learning methods on genome-wide association studies, genomics, epigenomics and transcriptomics data. Supports cancer prevention, treatment and personalized medicine.
| Poster Thu Oct 22 4:15 pm S4-Oligo: optimizing polygenic score methods for clinical deployment Polygenic risk scoreGenetic epidemiologyComplex diseasesPrecision medicine |
Tatonetti Labtatonettilab.org Uses AI and machine learning on EHRs, genomics databases and unstructured clinical notes. Targets drug safety, cancer care and EHR knowledge extraction.
| Poster Fri Oct 23 2:30 pm Patient-Level Membership Inference in Fine-Tuned Clinical Language Models for EHR Phenotyping Artificial intelligenceElectronic health recordsGenome-wide association study |
| 2 more presenters — research group not yet identified | |
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