Genetic evidence to prioritise intervention

Using genetic data to prioritise treatments for further testing

Theme Translational data science

In this workstream we use genetic data to predict the effects of medicines and identify modifiable risk factors, such as drinking alcohol or smoking.

Mendelian randomization (MR) is a ground-breaking gene-based approach pioneered in Bristol by our Medical Director George Davey Smith. This approach doesn’t involve giving people a particular treatment. Instead, it uses natural variation in our genes to test the effects of a modifiable factor to estimate the effect of that factor on disease outcomes. It also allows us to explore how different populations are affected using existing datasets from around the world.

MR is now routinely used to decide which targets to focus on for medical and public health intervention. However, it has mainly been used for disease prevention rather than treatment. To address this, we will apply our new MR methods to genetic datasets to identify potential treatment targets.

The use of MR has also mainly focused on white European populations. We will work with our large population-based study collaborators, including Global Biobank Meta-analysis Initiative and Born in Bradford, to address this. This will allow us to predict ancestry-specific effects for existing and new drugs, and to prioritise interventions for a range of ethnic groups.

We are working with our other themes, including mental health and diet and physical activity, to apply our MR approaches in their research.

View all research projects

Understanding the link between eczema and acne and mental health

People with eczema or acne often experience poor mental health, i…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Using Mendelian randomization to improve how drugs are tested for different populations

Randomised controlled trials (RCTs) are the gold standard for testing health interventions. However, they…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Developing a genetic data platform for use in pharmaceutical testing

OpenGWAS is one of the largest and most used genetic research databases in the…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Using genetics to improve how drug targets are identified

Many modern drugs target very specific biological processes. When a drug is being developed,…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Understanding how adverse childhood experiences impact anxiety-related disorders in the UK and Brazil

Adverse childhood experiences are potentially harmful experiences that can affect people both at home and…

Themes Mental health Translational data science

Workstream Genetic evidence to prioritise intervention

Investigating new approaches to drug development using human genetics

Developing new drugs is an important part of improving our ability to treat disease. To…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Exploring the link between obesity and heart failure using genetics

Heart failure is a condition that develops when the heart unable to pump blood around…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Preventing cardiovascular events in stroke patients

Having a stroke means you are more likely to experience a subsequent cardiovascular event. Cardiovascular…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Exploring the link between genes and cognitive decline

Cognitive decline in older adults refers to the difficulties someone may experience later in life…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Treatment resistance and drug side effects in schizophrenia

Schizophrenia is a mental health condition where people may see, hear or believe things that…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Exploring how obesity influences cancer survival

Evidence from different studies suggests that obesity or body mass index (BMI) might play a…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention

Data driven approaches to drug target prioritisation

Despite more money going towards developing drugs, the success rate of getting new drugs to…

Theme Translational data science

Workstream Genetic evidence to prioritise intervention