ASHG 2026 · Gov/NGO
National Cancer Institute at ASHG 2026
Bethesda, Maryland
National Cancer Institute at ASHG 2026 in Montréal: 17 presentations (10 posters, 6 platform talks, 1 lightning talk); 11 research groups.
17
presentations on the program
11
research groups identified
1
Reviewers’ Choice abstracts
| Organization | ASHG 2026 Attendance |
|---|---|
National Cancer Institute Bethesda, Maryland | 8 Postdocs · 5 PIs · 2 Staff Scientists · 1 Faculty |
Choi Laboratorydceg.cancer.gov/about/organization/tdrp/ltg/choi-lab Studies lung-cancer susceptibility using GWAS, single-cell transcriptomic and epigenomic profiling, chromatin interaction analyses and CRISPR. Applies findings to functional mechanisms in smokers and never-smokers.
| Poster Wed Oct 21 2:30 pm Chromatin interactions from lung cells identify smoking-related cancer susceptibility genes Complex diseasesGene environment interactionEtiologyGenome-wide association study Talk Thu Oct 22 11:45 am Single-cell full-length transcriptome of human lung reveals genetic effects on isoform regulation beyond gene-level expression Alternative splicingLong-read sequencingTranscriptomeSingle-cell Talk Thu Oct 22 11:45 am Single-cell lung eQTL dataset of Asian never-smokers highlights the roles of alveolar cells in lung cancer etiology Single-cellExpression quantitative trait lociGenome-wide association studyCancer |
Amundadottir Laboratorydceg.cancer.gov/about/organization/tdrp/ltg/amundadottir-lab Maps pancreatic-cancer risk loci using GWAS, WGS, eQTL, TWAS and CRISPR-based analyses. Studies inherited variants in pancreatic tissue through PanScan.
| Talk Wed Oct 21 2:27 pm Functional characterization of the multi-cancer risk locus 5p15.33 in normal pancreas cell types under endoplasmic reticulum stress CancerGenome-wide association studyGenomicsMassively parallel sequencing Poster Fri Oct 23 2:30 pm Functional characterization of a pancreatic cancer GWAS signal implicates PDX1 as a stress-buffering regulator in the exocrine pancreas Gene regulationCancerSusceptibility locusSingle-cell Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Functional characterization of the multi-cancer risk locus 5p15.33 in normal pancreas cell types under endoplasmic reticulum stress.CancerGenome-wide association studyGenomicsMassively parallel sequencing |
Clinical Genetics Branchdceg.cancer.gov/about/organization/tdrp/cgb Analyzes EHR-linked exome sequencing, whole-genome sequences and deep targeted sequencing in cancer studies. Supports cancer-risk prediction and prevention with Geisinger and the KPNC-NCI HPV cohort.
| Poster Fri Oct 23 2:30 pm Genotype-first characterization of PALB2-related cancer risk in two large biobanks Cancer syndromesGenetic epidemiologyLarge-scale biobanksExome/genome sequencing Poster Fri Oct 23 2:30 pm Six common variants in CHEK2: A genome-first approach to the UK Biobank and Geisinger MyCode cohorts CancerClinical geneticsGenotype-phenotype correlationsGenomics |
Machiela Labgithub.com/machiela-lab Analyzes genotype data, GWAS, UK Biobank electronic medical records, and DNA microarray data. Investigates mosaic chromosomal alterations and cancer risk.
| Poster Thu Oct 22 4:15 pm Mosaic chromosomal alterations are associated with epigenetic age acceleration and localized DNA methylation remodeling in PLCO Chromosomal abnormalitiesEpidemiologyEpigeneticsEpigenome-wide association studies Talk Fri Oct 23 11:00 am mCA Explorer: an interactive catalog of mosaic chromosomal alterations detected in large population-based genomic investigations Chromosomal abnormalitiesGenomicsLarge-scale biobanks |
Biostatistics Branchdceg.cancer.gov/about/organization/tdrp/bb Develops statistical methods for GWAS, next-generation sequencing, single-cell sequencing and electronic medical-record data. Applies them to cancer etiology, risk prediction and public-health studies.
| Poster Thu Oct 22 4:15 pm Uncovering the Heritability of Longitudinal EHR Traits in the Presence of Informative Measurement Processes Electronic health recordsGenetic epidemiologyGenome-wide association studyMethodology |
Integrative Tumor Epidemiology Branchdceg.cancer.gov/about/organization/tdrp/iteb Analyzes whole-genome sequencing, whole-transcriptome, methylation, microbiome and tissue-profile data. Studies cancer etiology, progression and risk across breast, kidney and lung cancers.
| Talk Fri Oct 23 11:00 am Genetic effects of common variants on RNA modifications in induced pluripotent stem cells BioinformaticsExpression quantitative trait lociMethylationRNA |
Integrative Tumor Epidemiology Branch (ITEB)dceg.cancer.gov/about/organization/tdrp/iteb/principal-investigators-iteb Analyzes whole-genome sequencing, whole-transcriptome, genome-wide methylation and microbiome data with tissue profiles. Studies cancer etiology and progression to inform prevention and clinical strategies.
| Poster Thu Oct 22 4:15 pm Integrated methylation and transcriptomic profiling identifies novel prognostic factors in skull-base chordoma CancerMethylationMulti-omicsRNA-seq |
Occupational and Environmental Epidemiology Branch (OEEB)dceg.cancer.gov/about/organization/tdrp/oeeb Studies occupational and environmental exposures using GIS, GWAS, methylation and next-generation sequencing. Main uses are cancer-risk assessment and carcinogen identification.
| Poster Wed Oct 21 2:30 pm LDscore: a scalable, Python 3-powered web platform for LD score regression analysis Linkage disequilibriumBioinformaticsGenome-wide association studyHeritability in“Please find me at ... ASHG (Montreal, Oct.)” |
Trans-Divisional Research Program (TDRP)dceg.cancer.gov/about/organization/tdrp Coordinates cancer epidemiology, genetics and prevention through the Connect cohort, EHRs, biospecimens, EpiSphere and GWAS. Supports precision prevention and early detection.
| Poster Fri Oct 23 2:30 pm Polygenic risk for lung cancer is amplified by current smoking: a comparison of two PGS in the PLCO cohort Polygenic risk scoreGene environment interactionCancer |
Zhang's Research Teamdceg.cancer.gov/about/staff-directory/zhang-haoyu Develops scalable statistical methods for UK Biobank, All of Us and 23andMe genetic data. Translates findings to clinical settings for prevention and therapeutic strategies.
| Talk Thu Oct 22 11:00 am RICEx integrates common and rare variants from summary statistics for multi-trait, multi-ancestry risk prediction Genome-wide association studyPolygenic risk scoreComplex diseasesComplex traits |
Trans-Divisional Research Program Works in cancer genetics and population genetics. | Talk Fri Oct 23 1:30 pm The largest multi-ancestry fine-mapping in over 2 million participants improves credible set resolution and enrichment in breast regulatory elements CancerEtiologyGenetic epidemiologyGenome-wide association study |
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