PhD Studentship: Genetics, BMI and Physical Activity, Understanding the Links to Obesity and Diabetes
Health and Medical,Medicine and Dentistry,Anatomy, Physiology and Pathology,Biological Sciences,Genetics,Sport and Leisure,Sports Science
Short info about job
Company: University of Exeter
Department: Medical School
Hours: Full Time
Type / Role: PhD
Phone: +44-1354 6729095
Fax: +44-1320 8035095
Detail information about job PhD Studentship: Genetics, BMI and Physical Activity, Understanding the Links to Obesity and Diabetes. Terms and conditions vacancy
The University of Exeter and the University of Queensland are seeking exceptional students to join a world-leading, cross-continental research team tackling major challenges facing the world’s population in global sustainability and wellbeing as part of the recently launched QUEX Institute.
The student will have the chance to study in the UK and Australia, and will graduate with a double degree from the University of Exeter and the University of Queensland.
Find out more about the PhD Studentship via http://www.exeter.ac.uk/quex/phds
Dr Andrew Wood (University of Exeter)
Professor Peter Visscher (University of Queensland)
Obesity is the single greatest risk factor for type 2 diabetes. In the absence of a solution it is vital we understand more about the different factors that influence it and who is susceptible. You will develop and use extensive data analytical skills to understand the interplay between genes and physical activity and their effects on BMI and diabetes. More specifically, you will test the hypothesis that different measures, types, patterns and frequencies of physical activity attenuate the genetic risk of obesity and type 2 diabetes. The student will use genetic variants associated with BMI, diabetes, and other metabolic traits identified through the largest genome-wide association studies (>1 million samples) to test this hypothesis.
This PhD opportunity will enable you to develop knowledge and skills in the field of complex trait genetics, including the ability to handle large genetic- and accelerometer datasets, and develop statistical skills in the analysis of genetic-, cross-sectional and longitudinal data. The student will use by far the largest study with both genome wide genetic data and objective, accelerometer based measures of physical activity – 103,000 people in the UK Biobank study who have worn an accelerometer for 24 hours over 7 continuous days. Where previous studies have either relied on self-report activity, or were performed in much smaller studies, the student will have access to a variety of objective physical activity based measures already derived that define different amounts, types, patterns and frequencies of physical activity.
In health care systems with limited resources, this work will provide much needed evidence for or against personalised approaches – for example, the evidence for targeting physical activity interventions at people with a stronger genetic predisposition to obesity and type 2 diabetes.
You will be based at the University of Exeter Medical School, UK, a world-class research institute for complex traits genetics and diabetes, under the direct supervision of Dr Andrew Wood, and supported by colleagues including complex-trait group leader Professor Tim Frayling. You will also be supported by second supervisor Peter Visscher at the University of Queensland – a world leader in statistical complex trait genetics.
Full tuition fees, stipend of £15,000 p.a, travel funds of up to £15,000, and RTSG of £3,000 are available over the 3 year programme