Human Disease and Cancer

Understanding genetic architecture and how changes in the human genome may link to disease phenotypes is fundamental in order to gain mechanistic insights into the causes of complex malignancies such as cancer or neurodegenerative diseases.

• Leveraging unique characteristics of different populations in order to identify genetic and environmental risk factors of complex diseases such as cancer, cardiovascular disease or depressive disorders (Kuchenbaecker lab)
   
• Developing improved statistical methods for the genetic analysis of rare and common diseases, such as schizophrenia (Curtis lab)
   
• Making use of the rich information contained in electronic health records to generate clinically actionable insights (Lai lab)
   
• Employing machine learning and data integration approaches to shed light into regulatory mechanisms and progression of cancer (Secrier lab).

Research on Human Disease and Cancer is funded by:

• Academy of Medical Sciences 
• ERC 
• UKRI 
• Wellcome Trust, and others

Research Labs

Recent Papers

Kuchenbaecker lab demonstrates the performance of polygenic risk scores in breast cancer patients with a CHECK2 germline mutation

Lai lab investigates the role of the AMPK pathway in predicting clinical outcome in cancer.

Dave Curtis demonstrates the use of multiple linear regression in weighted burden analysis of rare coding variants for ethnically heterogeneous populations