The genetics underlying imaging phenotypes and correlated physiological measures
Project Details - The genetics underlying imaging phenotypes and correlated physiological measures
|Supervisor(s): Prof Albert Tenesa, Dr Miguel O. Bernabeu & Claire Tochel|
|Centre/Institute: The Roslin Institute|
Imaging techniques are widely used for early detection and diagnosis of disease. Although widely adopted in clinical practice, it is only partially understood how structural information in medical images relates to physiological function, which may amenable for treatment. Furthermore, our understanding of how imaging phenotypes are determined by genetics and to what degree the genetic control of disease and the imaging phenotypes is shared is very limited. Identifying which imaging phenotypes have genetic correlations (i.e. a genetic shared component) with the disease of interest would inform of shared control pathways and to match disease-subtypes and imaging phenotypes to different biological pathways.
Furthermore, computational modelling approaches can be used to convert structural images into physiologically relevant traits. During this project we will develop both structural measurements and modelling-based estimates of blood flow (i.e. haemodynamics) in the eye from retinal imagines in UK Biobank, a large prospective epidemiological study of 500,000 individuals. Our goal is to identify genes influencing the structural and haemodynamic measurements and dissect their genetic and environmental variation.
The successful candidate will work in at the interface of computational Biology and physiology to develop the structural measurements and models of blood flow from retinal images under the supervision of Miguel Bernabeu. Once the phenotypes are generated the person will work on the field of genetics and genomics under the supervision of Albert Tenesa. A background on a mathematically related discipline and programming skills are essential, hence the ideal candidate would be someone with such background wishing a career in biology or medicine related fields.
The expected outcomes of the training programme are:
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- The deadline for 18/19 applications is 5pm on Wednesday 10th January 2018.
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