Suitable for PhD or Honours students.
Our laboratory is involved in genome-wide association studies (GWAS) to identify common variations underlying the risk of breast and ovarian cancers. The current challenge is in the functional interpretation of genetic association data. With this aim, we use a variety of computational approaches to define potential molecular mechanisms at GWAS loci and to generate specific hypotheses to guide further experimental work.
Specific areas of interest include:
The project would suit a bioinformatics student with an interest in gene regulation. Students would work closely with dry and wet lab scientists to identify cancer genes and pathways, which might represent targets for future drug development.