Completed Heart, Stroke & Blood Pregnancy, Children & Inherited Conditions

Study of the interplay of genetic, biochemical, and lifestyle factors on coronary heart disease incidence

In plain English

AI plain-English summary

Half a million middle-aged Europeans joined a health study in the 1990s, and now researchers will analyse stored blood and lifestyle data from 10,000 of them who later had heart attacks, plus 10,000 who stayed healthy. Heart disease kills more people than any other condition, yet scientists have struggled to untangle how genes, diet, exercise, and smoking combine to trigger a heart attack. Previous studies were too small or lacked the detailed biochemical and genetic information needed to see these interactions clearly. This project fills that gap by creating a single, powerful database that links genetic profiles, blood measurements, and lifestyle habits from a large, long-running European survey. If successful, the research could reveal the biological chain of events leading to heart attacks, identify which preventive measures work best for people with different genetic risks, and inform lifestyle programmes that help individuals counteract inherited disadvantages. The findings may reshape how doctors predict and prevent heart disease—shifting from one-size-fits-all advice to targeted strategies based on a person’s genetic makeup and daily habits.

View original technical description
Heart disease is the single leading killer in the UK and globally, is responsible for considerable disability, and involves several important modifiable risk factors, such as smoking, diabetes, and elevated levels of cholesterol and blood pressure. The occurrence of heart attacks depends on the complex interplay of genetic make-up, environmental factors and chance. Understanding the interplay of ?nature? and ?nurture? in heart disease should contribute to important advances in: (i) explaining the biological chain of events that leads to a heart attack, (ii) effectively targeting existing measures to prevent disease, and (iii) developing lifestyle programmes for people to counteract disadvantageous genetic profiles. Until recently, it has been difficult to study the interplay of genes, biochemical factors and lifestyles (eg, dietary habits and physical activity) in CHD. Medical surveys have tended to be too small, insufficiently detailed, inappropriately designed, or had some combination of these limitations. Also, it is only in the past few years that genetic research has identified a reasonably large number of genetic factors related to heart disease and relevant characteristics (such as levels of blood fats, obesity and diabetes). The current research project seeks to conduct a large and detailed study of genetic, biochemical and lifestyle factors in heart disease by using an existing survey of over 500,000 middle-aged Europeans living in ten countries. Starting in the early 1990s, initially healthy participants gave blood, replied to questionnaires (eg, about lifestyles, habits) and provided physical measurements. These individuals have now been monitored for over a decade on average, during which time more than 10,000 people have had heart attacks. It is proposed to conduct genetic and biochemical tests in the stored samples of 10,000 patients with confirmed heart disease and in 10,000 controls who have remained free of heart disease. Genetic and biochemical information assessed in these individuals will then be collated with information on smoking habits, diet, physical activity and other characteristics previously recorded at the initial visit to create a rich and powerful database. This database will be carefully harvested to yield a series of immediate and longer-term findings of major international importance for the understanding, prediction and prevention of heart disease.

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Researchers

Elio Riboli (Co-Investigator)John Danesh (Principal Investigator)Leena Peltonen (Co-Investigator)Mark Maccarthy (Co-Investigator)Nicholas Wareham (Co-Investigator)Paul Elliott (Co-Investigator)Petra Peeters (Co-Investigator)Simon Thompson (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Large-scale integrative studies of risk factors in coronary heart disease: from discovery to application
Sample and Data Collection for Cardiovascular Research
The Oxford Acute Myocardial Infarction Study
Understanding disease through environment-wide association studies
Molecular investigation of genetic factors in cardiovascular diseases using a bioresource of healthy volunteers (CADBIO)

Original classification

Research Grant

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