The University of Oxford and Population Genetics Technologies will collaborate to study gene variants associated with myocardial infarction, diabetes and metabolic disease.
The partnership will study 74 exons from 12 genes across a population of 1000 genomic DNA samples, in order to identify genetic associations with diabetes and metabolic disease, using Population Genetics’ GenomePooling technology.
A second study will be carried out in collaboration with Procardis, an EU commission framework, and will use Population Genetics’ Reflex workflow to interrogate 3000 samples to identify variants of candidate genes associated with myocardial infarction, more commonly known as a heart attack.
Professor of diabetes at the Oxford Centre for Diabetes and head of the GenomePooling study, Mark McCarthy, said: "Population Genetics gives us an efficient way to validate hypotheses through identification of variants in candidate genes associated with common human diseases. This partnership will make a valuable difference in our ability to progress our studies towards clinical application."
Population Genetics CEO Alan Schafer said: "We are pleased by the recognition given to our capability and to our enabling technologies, demonstrated in the formation of the partnerships with researchers.
"We look forward to providing key capability to them and to others at the University of Oxford that will help advance genetic research towards clinical application," added Schafer.
Image: The partnership will study 12 genes across a population of 1000 DNA samples to identify genetic associations with diabetes and heart attacks. Image courtesy of: FreeDigitalPhotos.net.
