OHGE Community Meeting 2026

This year’s event features keynote presentations from Mirte Bosse (Wageningen University), Peter Hollingsworth (RBGE) and Didier Trono (EPFL),  and a special lecture on the history of genetic and genomic research in Edinburgh from Wendy Bickmore (IGC) as part of the Edinburgh Medical School’s 300-year anniversary.

Programme

Document

 

Keynote presentations:
  • Mirte Bosse (Wageningen University) – “Reflecting On Homozygosity (ROH), from inbreeding to adaptation”
  • Pete Hollingsworth (RGBE) – “Biodiversity genomics: from DNA barcodes to complete genomes”
  • Didier Trono (EPFL) – “Call me dark no more: tales of domesTEcation”
EMS300 celebratory lecture:
  • Wendy Bickmore (IGC) - "Mutations and disease: From mustard gas to genome sequencing
Confirmed speakers:

Alex Ball (RZSS) - RZSS WildGenes – using genomics in conservation translocations

 

Kyle Ewart (RDSVS) - "Adaptable workflows for wildlife diagnostics"

 

Ross Fitzgerald (Roslin) - "Pan-genome dynamics of the bacterial pathogen Staphylococcus aureus"


Alex Martin-Geary (IGC) – “Uncovering missed diagnoses in the National Genomics Research Library: identifying candidate variants in regulatory elements”

 

Emily Humble (RDSVS) - "Genomics for manta and devil ray conservation – From species and population boundaries to trade enforcement"

 

Hannah Long (IGC) - "Neanderthal-derived variants in a human disease enhancer alter regulatory activity during jaw development"

 

Dan Macqueen (Roslin) - "Unlocking the potential of genome duplication during evolution (through rediploidisation)"

 

Laura Ross (IEE) - Beyond the Reference Genome: Germline-only DNA, an independently evolving genome compartment

 

Giovanni Stracquadanio (IQB3) – “Building and Brewing: Adventures in Yeast Synthetic Genomics and Pharmaceutical Manufacturing”

 

Rowan Schley (University of Exeter) - "Hybridisation and Herbivory Help Fuel Tropical Tree Radiations.

 

Chumeng Zhu (Roslin) – “Predicting the function of cattle ancestral variants using deep learning”

 
Organising Committee

Tim Aitman, Catherine Kidner, Rob Ogden, Mark Stevens, Martin Taylor, Daniel Toddie-Moore