Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we will assume that you are happy to receive all cookies and you will not see this message again. Click 'Find out more' for information on how to change your cookie settings.
Skip to main content

We play a leading role in the development of more efficient and cost-effective sequencing technologies.

Male Drosophila accessory gland

Understanding genetics through computation and experimentation

Our functional genomics program combines theory and practice to capitalize on the wealth of information available from genomic sequencing. We’re driven by a desire to understand human disease through analysing patients and relevant animal models – which means our work can often be translated into clinical practice.

Much of our work is based on the core principle of using model organisms to better understand human disease. A major driving force behind our research, for instance, is the MRC Functional Genomics Unit (FGU). Using genomic information from patients, it combines rigorous computational analysis and interpretation to identify the genetic origins of common neurological diseases such as Parkinson’s and multiple sclerosis.

Elsewhere, our researchers work across a wide range of diseases, but are always led by clinical relevance. Studying the single gene defects responsible for Duchenne muscular dystrophy has led to effective treatments for the disease in mice which are now being translated for use in human, for instance, while computational analysis of enormous genomic data sets is shedding light on the origins of neurodevelopmental disorders like autism and ADHD. Even some of our most basic work, such as fruit fly genetics, is resulting in the discovery of new cellular organelles and uncovering the basis of sexual development.

In the future, the availability of genomic data looks set to increase exponentially, and our Computational Genomics Analysis and Training Programme (www.cgat.org) is equipping researchers from a diverse range of backgrounds to process and interpret their results more efficiently. While there’s no denying that genomic information has begun to transform the treatment of patients, we hope to ensure it will increasingly make good on its early promise and continues to flourish.



Groups within this theme

Understanding Cerebellar Development and Disease
Becker Group

Understanding Cerebellar Development and Disease

Molecular Analysis of Neuromuscular Diseases
Davies Group

Molecular Analysis of Neuromuscular Diseases

We investigate neuroimmune molecular mechanisms underlying obesity.
Domingos Group

We investigate neuroimmune molecular mechanisms ...

Genetic Dissection of Sexual Behaviour
Goodwin Group

Genetic Dissection of Sexual Behaviour

Sleep, brain and behaviour laboratory
Vyazovskiy Group

Sleep, brain and behaviour laboratory

Understanding molecular mechanisms of age-related neurodegenerative diseases to generate novel molecular therapies
Wade-Martins Group

Understanding molecular mechanisms of age-related ...

Cell Biology of Exosome Signalling, Secretion and Growth in Normal and Cancer Cells at Super-Resolution
Wilson Group

Cell Biology of Exosome Signalling, Secretion and ...

Latest news

Anant parekh honoured by the royal society

Anant Parekh honoured by the Royal Society

Congratulations are in order to Professor Anant Parekh FRS on his election to The Royal Society.

Watch kay davies give the 2019 croonian lecture

Watch Kay Davies explore the latest promising genetic approaches for the diagnosis and treatment of Duchenne Muscular Dystrophy

Event video for the Croonian Lecture 2019, delivered by Professor Dame Kay Davies on Wednesday 10 April 2019 at The Royal Society.

Elizabeth haythorne wins poster awards from two major diabetes organisations

Elizabeth Haythorne wins Poster Awards from two major Diabetes organisations

Congratulations are in order for Elizabeth Haythorne, the winner of Poster Awards from Diabetes UK and the European Association for the Study of Diabetes