OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
Abstract:
There are observable differences in disease prevalence and other traits between human populations but due to confounding factors it is not clear if such differences are due to environmental or genetic factors and/or their interaction. In admixed populations, ancestry differences between and within families can be captured from genome data and we used this design with data from the Mexican City Prospective Study to estimate direct and indirect ancestry effects on risk of diabetes and other traits.
Bio:
Peter Visscher FRS is Professor of Quantitative Genetics. He has held faculty positions at the University of Edinburgh and the University of Queensland, and honorary or affiliate positions at the University of Melbourne, UMCG Groningen and the Karolinska Institute. He is in the process of moving his lab to the Big Data Institute.
Professor Visscher is known for his research investigating the genetic basis of complex human traits, including common diseases. His research focuses on the causes and consequences of human trait variation.
He developed and applied statistical analysis methods to quantify and dissect the contribution of DNA polymorphisms to trait variation. He was one of the first to propose, advocate and show that genome and trait data can be used to predict individuals who are genetically at high risk of disease. The use of “polygenic risk scores” in health care is now being trialled worldwide.
There will be tea/coffee and cakes available for seminar attendees in Atrium 1, 30 min prior to the seminar.
