Professor Olivia Fletcher

Group Leader: Functional Genetic Epidemiology

OrcID: 0000-0001-9387-7116

Phone: +44 20 7153 5177

Email: [email protected]

Location: Chelsea

Dr Olivia Fletcher

OrcID: 0000-0001-9387-7116

Phone: +44 20 7153 5177

Email: [email protected]

Location: Chelsea

Biography

Professor Olivia Fletcher leads a group of genetic epidemiologists and molecular biologists working on the Generations Study, the British Breast Cancer Study and other population-based studies. She is based within the Breast Cancer Now Toby Robins Research Centre at the ICR. She obtained her first degree in Biochemistry at the University of Oxford, her PhD in the laboratory of Gene Structure and Expression at The National Institute of Medical Research, Mill Hill, and an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine.

Her research interests focus on the identification and characterisation of genetic variants that are associated with breast cancer risk – specifically, low penetrance variants that map to non-coding DNA. To facilitate these studies, Professor Fletcher uses quantitative intermediate phenotypes – for example, female sex hormones, peptide growth factors and their binding proteins.

In a study of premenopausal hormone levels Professor Fletcher identified a CYP3A7allele (CYP3A7*1C) that is associated with a dramatic reduction in circulating hormone levels and a modest reduction in breast cancer risk. This allele may also impact on the way in which carriers metabolise certain clinically prescribed drugs, including cytotoxic agents used in the treatment of breast cancer.

Professor Fletcher has also contributed to developing a more systematic approach to the functional characterisation of genetic risk loci identified, primarily, through genome-wide association studies (GWAS). In collaboration with scientists at the Babraham Institute, Professor Fletcher developed a modified chromosome conformation capture-based method that allows high-resolution analysis of regulatory interactions between risk loci and their target genes. She used this methodology recently to identify putative target genes at 33 breast cancer risk loci. 

Her work is funded by Breast Cancer Now.