Fred Hutch Cancer Center at ASHG 2026

Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website

Fred Hutch Cancer Center brings 6 presentations from 4 research groups to ASHG 2026 in Montréal. Its program centres on cancer genetics, population genetics and computational analysis, with clinical genetics also represented. Darst Lab brings preliminary prostate-cancer findings, Fred Hutch Clinical Genetics and Genetic Counseling Service reviews testing outcomes, and Junction of Statistics and Biology (JSB Lab) presents methods for therapeutic targets.

OrganizationASHG 2026 Attendance
Fred Hutch Cancer Center
Seattle, Washington
1 Clinician · 1 PI · 1 Staff Scientist · 1 Postdoc
Darst Labresearch.fredhutch.org/darst/en.html
Dry lab~8 people
Analyzes germline sequencing and multi-omics data in genetic and metabolomic epidemiology. Focuses on prostate-cancer risk, progression and health disparities.
45 papers since 2024
›
Racial and Ethnic Differences in the Population-Attributable Fractions of Alzheimer Disease and Related Dementias
Neurology, 2024
Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations
Bioinformatics, 2024
Polygenic Risk Score and Upgrading in Patients With Prostate Cancer Receiving Active Surveillance
JAMA Oncology, 2024
Source: OpenAlex author A5064882006
6 platforms and techniques
›
Analyzes
Germline sequencing
Techniques
Polygenic risk scores, Genome-wide association studies, Multi-omics integration, Metabolomic epidemiology, Rare-variant analysis
Source: lab pages
No funding stated · No openings posted
Poster
Wed Oct 21
2:30 pm
Preliminary findings from the Genetic Information to Inform Treatment and Screening for Prostate Cancer (GIFTS) Study
Collaborators: University of Washington
CancerClinical geneticsGenetic testingPublic health
Fred Hutch Clinical Genetics and Genetic Counseling Servicefredhutch.org/en/patient-care/prevention/genetic-counseling-clinical-genetics.html
~11 people
Provides cancer risk assessment and multigene panel testing using blood, saliva and skin-biopsy DNA samples. Uses results for hereditary-cancer prevention, surveillance and early detection.
5 platforms and techniques
›
Analyzes
Multigene panel testing
Techniques
Cancer risk assessment, Genetic counseling, Clinical germline testing, DNA biobanking
Source: lab pages
No funding stated · No openings posted
Junction of Statistics and Biology (JSB Lab)jsb-lab.org
Dry lab~17 people
Develops statistical methods for single-cell, spatial transcriptomics, bulk RNA-seq and genomic data. Uses them for omics rigor, gene discovery and comparative genomics.
87 papers since 2024
›
Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data
Nature Communications, 2025
Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms
Science, 2024
Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters
Nature Communications, 2024
Source: OpenAlex author A5045434495
Funded by National Human Genome Research Institute (NHGRI)
›
National Human Genome Research Institute (NHGRI), NIH R01 · active
The NIH's standard multi-year research project grant.
“Jessica has received a four-year, $2.4M NIH R01 grant from the National Human Genome Research Institute (NHGRI).”
Source: lab pages
13 platforms and techniques
›
Analyzes
single-cell RNA-seq, spatial transcriptomics, bulk RNA-seq, single-cell ATAC-seq, single-cell multi-omics, mass spectrometry
Techniques
false discovery rate control, high-dimensional variable selection, comparative genomics, Central Dogma quantification, gene-gene and protein-DNA interaction identification, RNA isoform discovery, single-cell and spatial omics simulation
Source: lab pages
Currently hiring
›
“Postdoctoral Researcher Positions Available at Fred Hutch Cancer Center”
Source: lab positions page
Laboratório de Oncologia Translacional
Works in cancer genetics.
Poster
Wed Oct 21
2:30 pm
Germline and somatic determinants of the ccRCC proteome
Collaborators: Universidade de São Paulo
CancerGenomicsProteomics
2 more presenters — research group not yet identified

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