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Founded in 1826 in the heart of London, UCL is London's leading multidisciplinary university, with more than 16,000 staff and 50,000 students from 150 different countries.

Human Disease and Cancer

A major focus of our research is developing new quantitative methods to identify variants linked to disease, as well as to build predictive models of disease emergence or response to therapy.

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.

secrier group genetics human disease image final for content

A major focus of our research is developing new quantitative methods to identify variants linked to disease, as well as to build predictive models of disease emergence or response to therapy. To tackle these complex questions, we apply multiple statistical and computational strategies with focus on:

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)
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:

People:

Dave Curtis
Karoline Kuchenbaecker
Alvina Lai
Maria Secrier
Nik Maniatis

Dave Curtis

Dave Curtis UCL

Dave Curtis

Karoline Kuchenbaecker

karoline_kuckenbaecker

Karoline Kuchenbaecker

Alvina Lai

Alvina Lai UCL

Alvina Lai

Maria Secrier

Maria Secrier

Maria Secrier

Recent Papers

kuchenbaeckerpaper_genetics_institute

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

lai_paper_genetics_institute

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

curtispaper_genetics_institute

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

Learn More

Maria Secrier: Tracing genomic histories and environmental influences in cancer development

Alvina Lai: DATA-CAN: The Health Data Research Hub for Cancer - impact of Covid-19 on cancer care

screen saying early careers network

Cancer Domain Early Careers Network

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