ASHG 2026 · Tier 2–3 Academic
University of Bristol at ASHG 2026
Bristol, UK
University of Bristol at ASHG 2026 in Montréal: 9 presentations (9 posters); 6 research groups.
9
presentations on the program
6
research groups identified
2
Reviewers’ Choice abstracts
| Organization | ASHG 2026 Attendance |
|---|---|
University of Bristol Bristol, UK | 4 PhD Students · 2 PIs · 1 Postdoc · 1 Faculty |
MRC Integrative Epidemiology Unitbristol.ac.uk/integrative-epidemiology Analyzes GWAS, DNA methylation, metabolomic, proteomic and electronic health-record data with Mendelian randomization and machine learning. Studies causal drivers of chronic disease and pregnancy complications.
| Poster Wed Oct 21 2:30 pm Assessing the causal role of the gut microbiome in human health and disease: a systematic review and application of Mendelian randomization in cancer aetiology Mendelian randomizationMicrobiomeCancerGenetic epidemiology Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Evaluating the consequences of childhood adiposity on the human plasma proteome at four timepoints across the lifecourseGenetic epidemiologyMendelian randomizationObesityProteomics Poster Fri Oct 23 2:30 pm Investigating the safety profile of monoclonal antibody therapeutics during pregnancy: a drug target Mendelian randomization study dissecting maternal and fetal genetic effects Mendelian randomizationTeratogensPharmacologic therapyAutoimmune disorder |
Diverse Epigenetic Epidemiology Partnership (DEEP)deep-epigenetics.org Generates and analyzes Illumina methylation and genetic array data. Studies disease mechanisms and risk prediction across ancestries, focusing on child and cardiovascular health.
| Poster Fri Oct 23 2:30 pm Understanding disease discordance across ancestries through federated analysis of DNA methylation variation in the Diverse Epigenetic Epidemiology Partnership (DEEP) consortium EpigeneticsGenetic epidemiologyEpigenome-wide association studiesMethylation |
DMER Groupbiocompute.org.uk Integrates biomedical and epidemiological data with EpiGraphDB, OpenGWAS and BERT. Uses Mendelian randomization, knowledge graphs and EHR data for disease mechanisms and drug-target prioritization.
| Poster Fri Oct 23 2:30 pm Evaluating discordance between expression quantitative trait loci and protein quantitative trait loci using enrichment analysis Expression quantitative trait lociQuantitative traitEpidemiologyGenetic epidemiology |
Immunopsychiatry: Inflammation and Psychiatry Research Groupimmunopsychiatry.com/team Studies inflammation in psychiatric disorders using population cohorts, genetic analyses, proteomics and early-phase clinical trials. Targets causal mechanisms and treatments for depression and schizophrenia.
| Poster Thu Oct 22 4:15 pm Relationship between IL6 activity, inflammatory markers and psychiatric conditions: findings from UK Biobank cohort and genetic analyses DepressionGenome-wide association studyImmune systemProteomics |
Lifecourse GWAS Consortiumlifecourse-gwas.github.io Analyzes genome-wide association results from 50 cohort studies and biobanks, stratified by age, sex and ancestry. Builds polygenic risk scores and Mendelian-randomisation instruments across age.
| Poster Fri Oct 23 2:30 pm Genetic effects on complex traits exhibit distinct patterning across the lifecourse Complex traitsGenetic epidemiologyGenome-wide association studyMethodology |
Skin Genetics Consortiumskingeneticsconsortium.org Analyzes population-scale genomic data from biobanks and electronic health records to study skin diseases and traits. Shares results through the Skin Knowledge Portal. | Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Utilizing the Genotype-Phenotype Map (GPMap) to uncover shared skin biology and prioritize drug targetsComplex diseasesComputational toolsGenetic epidemiologyGenome-wide association study |
| 1 more presenter — research group not yet identified | |
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