The interplay of genetic and non-genetic risk factors for endometrial cancer

Background

There are several known risk factors for endometrial cancer, including genetics and family history of certain cancers, and metabolic factors such as adiposity and diabetes. The aim of this project is to understand the interplay between such factors in different populations, such as the extent to which genetics, adiposity, and plasma biomarkers explain risk, using data from large cohort studies such as the UK Biobank and the China Kadoorie Biobank, and from the Endometrial Cancer Association Consortium (ECAC), an international research collaboration focused on uncovering the genetic and molecular underpinnings of endometrial cancer. ECAC brings together data from population-based, clinic-based, and biobank studies across multiple countries to conduct large-scale genome-wide association studies (GWAS) and integrative analyses. GWAS data derived from over 24,000 endometrial cancer cases underpin ECAC’s efforts, supported by extensive functional follow-up. The consortium provides a valuable resource for advancing understanding of endometrial cancer risk and biology. 

research experience, research methods and skills training

FIELD WORK, SECONDMENTS, INDUSTRY PLACEMENTS AND TRAINING

There are various opportunities for training within the department and externally. There will be opportunity to work with diverse teams in the department with a range of backgrounds and skills, as well as regular research activities such as seminars. There may be opportunities to visit QIMR Berghofer Medical Research Institute. 

PROSPECTIVE STUDENT

The ideal candidate will have a Bachelor’s/Master’s degree in statistics, genetics, mathematics or a related area, and interest in epidemiology and population health.