Back to search results

PhD Studentship - Using Genetics to Understand the Complex Relationships Between Obesity and Depression in Diverse Global Settings

University of Exeter - College of Medicine and Health

Qualification Type: PhD
Location: Exeter
Funding for: UK Students, EU Students
Funding amount: £14,777 per annum for 3 years
Hours: Full Time
Placed On: 14th March 2019
Closes: 10th May 2019
Reference: 3484

3-year PhD Studentship funded by the Academy of Medical Sciences (AMS) and the College of Medicine and Health.

Applications are invited for a 3-year PhD Studentship funded by the Academy of Medical Sciences (AMS) and the College of Medicine and Health to commence in September 2019.The studentship will be jointly supervised by Dr. Jess Tyrrell, Dr. Rachel Freathy and Prof Ed Watkins at the University of Exeter.

The principal research aim of this project is to use human genetic approaches to understand the complex relationships between obesity and depression in diverse global settings. There are three broad stages to the project, each providing the student with a different but complementary set of research skills: In stage 1 the student will use will use the genetic approach of Mendelian Randomization (MR) to test the causal role of obesity (and obesity-related factors) on depression in multiple large studies, including the UK Biobank and Chinese Kadoorie Biobank. In stage 2 the student will utilise genetic techniques to explore the role of excess adiposity with and without its adverse metabolic effects in depression. The student will use genetic variants identified by the team in Exeter that make an individual fatter but metabolically healthier. This approach is a novel way to disentangle the psychological component of body image in obesity from potential physiological aspects (i.e. poorer overall health). In stage 3 the student will investigate if depression accentuates and individual’s genetic risk of obesity. This will address the following question: if high risk genetics increases a person’s BMI by 1 kg/m2, and depression increases a person’s BMI by 1 kg/m2, are people who have high-risk genetics and depression 2 kg/m2 larger, or more than 2 kg/m2 larger?  The student will use data from some of the most powerful population-based cohort studies available globally, including data from 500,000 individuals in the UK Biobank and 500,000 individuals in the Chinese Kadoorie Biobank.

The student will be part of the larger interdisciplinary Complex Genetics Team at the College of Medicine and Health. This team regularly publish high impact papers in the BMJ, Nature Genetics, JAMA and Nature. This studentship offers internationally-excellent training in bioinformatics, statistics and statistical genetics. The student will have hands-on experience of several world-leading datasets and will be part of a supportive, dynamic and successful team of researchers. At the end of the PhD they will have an excellent basis for a career combining statistics and data skills with clinically relevant research.

The student will develop a unique set of skills. Genetics and genomics, and skills in large-scale data analysis are becoming more and more relevant to clinical research, yet there are still few people who can bridge the gap between the data analysis and the clinical applications. This studentship will equip the successful applicant with exactly those skills, and plenty of experience with world-leading datasets.

Please contact Dr. Tyrrell informally for more details on +44 1392 408262 or

Funding: This award provides annual funding to cover UK/EU tuition fees and a tax-free stipend. For students who pay UK/EU tuition fees the award will cover the tuition fees in full, plus at least £14,777 per year tax-free stipend. Students who pay international tuition fees are eligible to apply, but should note that the award will only provide payment for part of the international tuition fee and no stipend.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):


PhD tools
More PhDs from University of Exeter

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended has been optimised for the latest browsers.

For the best user experience, we recommend viewing on one of the following:

Google Chrome Firefox Microsoft Edge