Professor Angela Cox

Department of Oncology and Metabolism

Professor of Cancer Genetic Epidemiology

Deputy Head of Department

Staff Angie Cox
a.cox@sheffield.ac.uk
+44 114 215 9017

Full contact details

Professor Angela Cox
Department of Oncology and Metabolism
GU33, G Floor
The Medical School
Beech Hill Road
Sheffield
S10 2RX
Profile

Employment

1983-1984 Research Assistant, Unilever Research Laboratories, Bedford
1984-1991 Research Scientist, Celltech Ltd, Slough
1992-2000 Research Associate then Honorary Lecturer, Division of Genomic Medicine, University of Sheffield
2000-2011 Lecturer/ Senior Lecturer/ Reader, Institute for Cancer Studies, University of Sheffield
2011-2013 Professor of Cancer Genetic Epidemiology, Institute for Cancer Studies, Department of Oncology, University of Sheffield

Qualifications

BA University of Cambridge 1983
PhD University College London 1991

Research interests

My first area of interest is the identification and characterisation of both inherited and somatic genetic variants associated with cancer. We use statistical genetics and bioinformatics tools to fine-map cancer-associated genomic regions, and functional genomics to identify the candidate causal variants and their mechanism of action. We collaborate with colleagues in the School of Mathematics and Statistics in developing new statistical genomics approaches and in the mathematical modelling of the effects of inherited variants on cancer hallmark phenotypes.

We have a particular interest in the CASP8/ALS2CR12 region on 2q33, which exhibits pleiotropy and is associated with multiple common cancers. We participate in various international genetics consortia including BCAC, PRACTICAL, Interlymph, and ILCCO, and are members of the Sheffield Institute for Nucleic Acids (SInFoNia). Our current research is funded by Weston Park Cancer Charity, Innovate UK and Breast Cancer Now.

My second area of interest is the use of circulating cell-free DNA as a source of tumour biomarkers. Tumours shed DNA into the circulation (ctDNA), and the ctDNA can be used to identify therapeutically-relevant tumour mutations and prognostic biomarkers. We are using low coverage highly parallel sequencing for copy number analysis, and digital droplet PCR and targeted sequencing for mutation analysis, to identify predictive and prognostic markers in a number of common cancers for which we have sample resources.

The Cox group are recruiting to the following study, which collects patient samples for the Breast Cancer Now Tissue Bank: The role of angiogenesis and genome stability in breast cancer and biosample collection (09/H1308/138)

Keywords: Genetic Epidemiology, Molecular Oncology, Sheffield Institute for Nucleic Acids, cancer, functional genomics

Publications

Books

  • Camp NJ & Cox A (2002) Quantitative Trait Loci: Methods and Protocols. Humana Press. RIS download Bibtex download

Journal articles

Chapters

  • di Giovine FS, Camp NJ, Cox A, Chaudhary AG, Sorrell JA, Crane A & Duff GW (2000) Detection and Population Analysis of IL-1 and TNF Gene Polymorphisms In Balkwill F (Ed.), Cytokine Molecular Biology: A Practical Approach (pp. 21-46). Oxford University Press RIS download Bibtex download
  • Iles MM () Linkage and Association: The Transmission/Disequilibrium Test for QTLs, Quantitative Trait Loci (pp. 101-138). Humana Press RIS download Bibtex download

Conference proceedings papers

Patents

  • Camp NJ, Cox A, Nicklin MJH, di Giovine FS & Duff GW () Prediction of Inflammatory Disease. (USA). Appl. 01 Jan 1970. RIS download Bibtex download
Research group
  • Ian Brock - Research Technician
  • Esther Ludbrook - Data Manager
  • Alice Halsey Newton - Research Nurse
  • Shobha Silva - WPCC Clinical PhD Research Fellow
Teaching interests
  • MSc in Molecular Medicine (6 lectures)
  • MSc in Genomic Medicine (2 lectures)
  • BMS 379 Tumour Cell Biology (1 lecture)
  • MRes Translational Oncology (2 lectures)