A Nutrigenetics approach to study the impact of genetic and dietary factors on cardiometabolic traits
Dr V Karani
Prof J Lovegrove
Applications accepted all year round
Self-Funded PhD Students Only
"We are seeking two highly motivated candidates for PhD projects that will focus on genetic epidemiology and statistical genetics. The projects will focus on identifying genetic determinants of cardio-metabolic risk factors and investigating the effect of these genetic determinants and dietary factors on cardio-metabolic traits such as diabetes, obesity and hypertension using detailed epidemiological and functional analyses. The students will use various study designs to perform genetic association and gene-diet interaction (nutrigenetics) analyses in different ethnic population-based studies. Specific emphasis will be placed on the development of novel analytical approaches to the analysis of hypotheses related to gene-diet interactions. The students will receive training in genetic epidemiology, statistical genetics and bioinformatics. The student will also have the opportunity to discuss the exact title and nature of the project to suit their interests and to incorporate recent advances in these exciting areas. This project provides an opportunity to work with a group that has a strong track record in nutritional and genetic epidemiology and to develop links with experts nationally and internationally. The successful candidates will be expected to actively participate in group meetings such as journal clubs and department seminars.
The project will be carried out at the Hugh Sinclair Unit of Human Nutrition, University of Reading, UK. The project will be supervised by Dr Vimal Karani, Programme Leader in Genetic and Nutritional Epidemiology.
For an informal discussion, contact Dr Vimal Karani ([email protected]
You will have a master’s degree (or equivalent training) in nutrition, food science, genetics or epidemiology, awarded at a high grade; you will be keen to learn quickly in a fast moving and competitive field, and will have a strong aptitude for statistical genetics.
Please see the link that lists Dr Vimal Karani's publications: https://www.ncbi.nlm.nih.gov/pubmed/?term=vimaleswaran+ks