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
In Genome Wide Association Studies the relationship between a phenotype, with discrete outcome levels, and a genotype is typically assessed via linear regression, which necessarily ignores the non-normality of the outcome. Motivated by this, we consider a transformation that connects the linear effects to the non-linear scale. The approach improves on current transformations by maintaining small bias, of the non-linear genetic effect estimate, when variation in the outcome is explained mainly by additional covariates, e.g. age and gender.
As an example, we consider a binary trait and several genetic and non-genetic predictors connected via a logit link-function. The method, however, is applicable to a wide class of non-normal phenotypes and link-functions.
