Despite the fact that incident rates of prostate cancer in Africa are comparable to or lower than those in other parts of the globe, the mortality rate is 3.5 times higher than the global average. The aim of the Target Africa project is to identify endogenous and exogenous factors that lead to higher mortality rates in African men with prostate cancer. To understand the causation of more aggressive prostate cancer in African men genetic, epigenetic, and exposome data, including data on environmental exposures and lifestyle choices, will be collected and analysed in a comprehensive way.
Our team in Manchester will use genomics and cancer signature analysis approaches to identify aetiologies of prostate cancer in African men.
David Wedge
Professor of Cancer Genomics and Data Science
My research interests include cancer genomics, tumour evolution, data science and machine learning.
Avraam Tapinos
Postdoctoral Research Associate / Computational Biologist
My backrouynd is in computer science with a focus on time series data mining in systems biology. My research interests include computational biology, cancer genomics, data mining, and machine learning.