ASHG 2026 · Hospital & health system

Cedars-Sinai Medical Center at ASHG 2026

Los Angeles, California

Cedars-Sinai Medical Center at ASHG 2026 in Montréal: 5 presentations (5 posters); 3 research groups.

5
presentations on the program
3
research groups identified
2
Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

OrganizationASHG 2026 Attendance
Cedars-Sinai Medical Center
Los Angeles, California
1 Staff Scientist · 1 PhD Student
McGovern Labcedars-sinai.edu/health-sciences-university/research/labs/mcgovern/members.html
Wet + dry lab~13 people
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.
95 papers since 2024
Author Correction: A genomic mutational constraint map using variation in 76,156 human genomes
Nature, 2024
Phase 2 Trial of Anti-TL1A Monoclonal Antibody Tulisokibart for Ulcerative Colitis
New England Journal of Medicine, 2024
Comprehensive Association Analyses of Extraintestinal Manifestations in Inflammatory Bowel Disease
Gastroenterology, 2024
Source: OpenAlex author A5035961257
Funded by Crohn's and Colitis Foundation of America (CCFA), European Union +2 more
Crohn's and Colitis Foundation of America (CCFA) · active
“Crohn's and Colitis Foundation of America (CCFA)”
European Union, FP7 mechanism · active
“European Union — FP7 mechanism”
The Leona M. and Harry B. Helmsley Charitable Trust · active
“The Leona M. and Harry B. Helmsley Charitable Trust”
+1 more on the lab page
Source: lab pages
8 platforms and techniques
Runs
Illumina genotyping, Illumina expression, Taqman assays from Applied Biosystems
Techniques
DNA/RNA/protein isolation, Multi-omic data integration, Statistical and bioinformatics analysis, Serotyping, Microbiome data interpretation
Source: lab pages
Currently hiring
“We are actively recruiting students and postdocs to be our colleagues and expand lab knowledge and expertise”
Source: lab positions page
Poster
Wed Oct 21
2:30 pm
★ Reviewers’ Choice
IterPRS: iterative polygenic-score conditioning using GWAS summary statistics to greatly improve genetic discovery
Statistical Genetics and Genetic Epidemiology
Complex traitsGenome-wide association studyPolygenic risk score
Peng Labcedars-sinai.edu/health-sciences-university/research/labs/peng.html
Dry lab~2 people
Uses statistical and machine-learning methods on genome-wide association studies, genomics, epigenomics and transcriptomics data. Supports cancer prevention, treatment and personalized medicine.
28 papers since 2024
Assessing the Performance of the PREDICT Breast Version 3.0 Prognostic Tool in Patients With Breast Cancer in the United States
Journal of the National Comprehensive Cancer Network, 2025
Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions
The American Journal of Human Genetics, 2024
Improving on polygenic scores across complex traits using select and shrink with summary statistics (S4) and LDpred2
BMC Genomics, 2024
Source: OpenAlex author A5084965860
7 platforms and techniques
Techniques
machine-learning methods, statistical modeling, multi-omics integration, germline-variant characterization, DNA methylation, chromatin accessibility, gene-expression modeling
Source: lab pages
No funding stated · No openings posted
Poster
Thu Oct 22
4:15 pm
S4-Oligo: optimizing polygenic score methods for clinical deployment
Statistical Genetics and Genetic Epidemiology
Collaborators: University of Cambridge
Polygenic risk scoreGenetic epidemiologyComplex diseasesPrecision medicine
Tatonetti Labtatonettilab.org
Dry lab~21 people
Uses AI and machine learning on EHRs, genomics databases and unstructured clinical notes. Targets drug safety, cancer care and EHR knowledge extraction.
82 papers since 2024
Large Language Model Analysis of Reporting Quality of Randomized Clinical Trial Articles
JAMA Network Open, 2025
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models
Patterns, 2024
Generalizable and automated classification of TNM stage from pathology reports with external validation
Nature Communications, 2024
Source: OpenAlex author A5086753691
10 platforms and techniques
Analyzes
Electronic health records (EHRs), Genomics databases, RIFTEHR
Techniques
Artificial intelligence, Machine learning, Large language models (LLMs), BERT-based models, Molecular structure embeddings, Automatic speech recognition (ASR), Familial relationship inference
Source: lab pages
No funding stated · No openings posted
Poster
Fri Oct 23
2:30 pm
Patient-Level Membership Inference in Fine-Tuned Clinical Language Models for EHR Phenotyping
Artificial Intelligence and Machine Learning
Collaborators: Broad Institute
Artificial intelligenceElectronic health recordsGenome-wide association study
2 more presenters — research group not yet identified

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