ASHG 2026 · Tier 2–3 Academic

Wellcome Sanger Institute at ASHG 2026

Cambridge, UK

Wellcome Sanger Institute at ASHG 2026 in Montréal: 8 presentations (5 posters, 2 lightning talks, 1 platform talk); 4 research groups.

8
presentations on the program
4
research groups identified
1
sessions invited to or moderated
2
Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

OrganizationASHG 2026 Attendance
Wellcome Sanger Institute
Cambridge, UK
3 PhD Students · 2 Postdocs · 1 Staff Scientist
Anderson Groupsanger.ac.uk/group/anderson-group
Wet + dry lab~10 people
Uses whole-exome, whole-genome and single-cell RNA sequencing plus genome-wide CRISPR screens to study immune-mediated disease. Focuses on inflammatory bowel disease, drug targets and treatment response.
31 papers since 2024
Performance of deep-learning-based approaches to improve polygenic scores
Nature Communications, 2025
Defining predictors of responsiveness to advanced therapies in Crohn’s disease and ulcerative colitis: protocol for the IBD-RESPONSE and nested CD-metaRESPONSE prospective, multicentre, observational cohort study in precision medicine
BMJ Open, 2024
shaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores
The American Journal of Human Genetics, 2024
Source: OpenAlex author A5020962383
Funded by Crohn's and Colitis Foundation
Crohn's and Colitis Foundation, Genetics Initiative · active
“they part-fund our single-cell gut eQTL work.”
Source: lab pages
11 platforms and techniques
Works with
single-cell RNA sequencing, whole-exome sequencing, whole-genome sequencing, DNA sequencing, SNP microarray intensity data
Techniques
high-throughput screens, genome-wide CRISPR screens, primary immune cells, iPSC-derived immune cells, GWAS, functional follow-up
Source: lab pages
Currently hiring
“We’re always on the lookout for motivated people to join the group”
Source: lab positions page
Poster
Wed Oct 21
2:30 pm
Deep generative modelling of large-scale blood single-cell RNA sequencing defines cell type-specific, clinically relevant archetypes in inflammatory bowel disease
Artificial Intelligence and Machine Learning
Collaborators: Clinical Research Institute, Institute of Rheumatology
Complex diseasesGenomicsMachine learningPrecision medicine
Poster
Thu Oct 22
4:15 pm
Isoform usage landscape in the gut revealed by long-read single-cell RNA-seq
Molecular Effects of Genetic Variation
Collaborators: Open Targets, Centre for Inflammation Research
Alternative splicingAutoimmune disorderGastrointestinal systemGene regulation
Trynka Groupsanger.ac.uk/group/trynka-group
Wet + dry lab~11 people
Generates single-cell transcriptomic, CRISPR-screen and high-throughput imaging data in immune cells. Links genetic variants to immune disease mechanisms and therapeutic discovery.
32 papers since 2024
A tissue-specific atlas of protein–protein associations enables prioritization of candidate disease genes
Nature Biotechnology, 2025
Human Genetics and Genomics for Drug Target Identification and Prioritization: Open Targets’ Perspective
Annual Review of Biomedical Data Science, 2024
AI and immunology
Immunity, 2024
Source: OpenAlex author A5091121983
Funded by Chan Zuckerberg Initiative (CZI)
Chan Zuckerberg Initiative (CZI), Ancestry Networks for the Human Cell Atlas · active
Philanthropic science funding from the Chan Zuckerberg Initiative.
“The Ancestry Networks for the Human Cell Atlas grant is awarded by the Chan Zuckerberg Initiative (CZI).”
Source: lab pages
9 platforms and techniques
Runs
Single-cell transcriptomics, Pooled CRISPR screens, Arrayed CRISPR screens, High-throughput imaging platform
Techniques
Single-cell eQTL mapping, CRISPR perturbation, High-content imaging, Immune phenotyping, Primary immune cells
Source: lab pages
No openings posted
Talk
Thu Oct 22
9:00 am
From eQTL to function: Dissecting genetic control of Treg suppression
New Adventures in Molecular Trait Mapping
Collaborators: Open Targets, Human Technopole
Autoimmune disorderExpression quantitative trait lociGenome editing/CRISPRSingle-cell
Poster
Thu Oct 22
4:15 pm
Mapping immune-mediated disease variants to cellular function through multimodal profiling of CD4+ T cell activation
Omics Technologies
Collaborators: Human Technopole, Open Targets
Complex diseasesGenotype-phenotype correlationsImmune systemMulti-omics
Hurles Groupsanger.ac.uk/group/hurles-group
Wet + dry lab~6 people
Studies rare developmental conditions using experimental cell models, exon-arrayCGH and trio exome sequencing. Works with DDD, Genomics England and PAGE.
36 papers since 2024
Prospective study design and data analysis in UK Biobank
Science Translational Medicine, 2024
De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome
Nature, 2024
Examining the role of common variants in rare neurodevelopmental conditions
Nature, 2024
Source: OpenAlex author A5068997042
Funded by Health Innovation Challenge Fund, Wellcome Trust
Health Innovation Challenge Fund · active
“DDD is funded by the Health Innovation Challenge Fund”
Wellcome Trust · active
“Biomedical charity that funds most of our science”
Source: lab pages
7 platforms and techniques
Runs
high resolution exon-arrayCGH, trio exome sequencing
Techniques
experimental cell models, clinical variant filtering, CNV calling, large-scale mosaicism detection, UPD detection
Source: lab pages
No openings posted
Talk
Wed Oct 21
1:35 pm
Analysis of 184,786 developmental disorder trios identifies over a hundred novel DD-associated genes and candidate haplolethal genes
Clinical Genetics Across the Lifespan: From Gene Discovery to Prenatal, Developmental, and Pharmacogenomic Insights
Collaborators: Radboud University Medical Center
Identification of disease genesIntellectual and developmental disabilityExome/genome sequencingMendelian disorder
Poster
Fri Oct 23
2:30 pm
★ Reviewers’ Choice
Analysis of 184,786 developmental disorder trios identifies over a hundred novel DD-associated genes and candidate haplolethal genes
Mendelian Phenotypes
Collaborators: Radboud University Medical Center
Exome/genome sequencingIdentification of disease genesIntellectual and developmental disabilityMendelian disorder
Vento-Tormo Groupsanger.ac.uk/group/vento-tormo-group
Wet + dry lab~27 people
Studies tissue organisation using spatial multiomics, whole-genome sequencing, AI/ML and single-cell techniques. Builds disease models for women’s health and human development.
4 papers since 2024
An integrated single cell and spatial omics atlas of human prenatal development
bioRxiv (Cold Spring Harbor Laboratory), 2026
Abstract 158: PI3Kδ in CD4+ T cells protects against lung metastases through IFNγ-induced tumor senescence.
Cancer Research, 2026
Human 3D epithelioids enable continuous long-term clonal evolution studies across multiple epithelial tissues
bioRxiv (Cold Spring Harbor Laboratory), 2026
Source: OpenAlex author A5096312176
Funded by Wellcome, CZI +6 more
Wellcome · active
“Wellcome”
CZI · active
“CZI”
Wellcome Leap · active
“wellcome-leap-logo”
+5 more on the lab page
Source: lab pages
10 platforms and techniques
Works with
spatial multiomics, whole-genome sequencing, single-cell techniques
Techniques
spatial genomics, artificial intelligence and machine learning, gene editing, single-cell multiomics, in vitro models, large-scale perturbations, routine histopathology
Source: lab pages
Currently hiring
“We are actively looking for motivated students and postdocs to join the lab.”
Source: lab positions page
Talk
Wed Oct 21
2:07 pm
Integrating GWAS with a multimodal atlas of the female reproductive system reveals critical cell types and pathways in gynaecological disorders
Clinical Genetics Across the Lifespan: From Gene Discovery to Prenatal, Developmental, and Pharmacogenomic Insights
Collaborators: University of Cambridge
GenomicsMulti-omicsReproductive geneticsWomen's health
Poster
Fri Oct 23
2:30 pm
★ Reviewers’ Choice
Integrating GWAS with a multimodal atlas of the female reproductive system reveals critical cell types and pathways in gynaecological disorders
Prenatal, Perinatal, Reproductive, and Developmental Genetics
Collaborators: University of Cambridge
Complex diseasesGenomicsMulti-omicsReproductive genetics

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