Discovering a new way to predict early heart disease
Researchers in Hamilton have developed a genetic test that is five times more accurate than the current standard method in predicting early coronary artery disease (CAD) in young adults.
“This has the potential to save lives,” says principal author Dr. Guillaume Paré. “The more we understand about a person’s risk for early CAD, the better we can help prevent complications – like heart attack – for these patients and their family members.”
Until now, the only way to determine a person’s risk of developing early CAD is to test for a rare genetic defect that is known to be a factor in some cases. However, Paré and his team at the Population Health Research Institute of Hamilton Health Sciences (HHS) and McMaster University have discovered that, by testing for multiple genetic variations, they’re able to predict early CAD in five times as many patients than the current test.
Study results were published today in the American Heart Association’s journal Circulation: Cardiovascular Genetics.
Many patients with early-onset heart disease don’t have the single genetic defect measured by the standard test.
Heart disease is the leading cause of death globally. The most common form is coronary artery disease, which occurs when the blood vessels to the heart narrow or harden. Most people can decrease their risk by not smoking, being physically active, maintaining a healthy diet and body weight, and controlling cholesterol, blood pressure and blood sugar.
In rare instances, however, high blood levels of the so-called bad cholesterol, LDL, result from a genetic defect called familial hypercholesterolemia. Patients with this genetic defect are at increased risk for early-onset heart disease before age 40 in men and age 45 in women, so early diagnosis and treatment are critical. The problem is that many patients with early-onset heart disease do not have the single genetic defect measured by the standard test.
“We believed that the rare mutation couldn’t be the only way that someone becomes susceptible to early CAD,” says Paré, medical biochemist at HHS and associate professor of medicine at McMaster University. “What we found is that there are actually several genetic differences which, combined, can significantly increase a person’s risk, even more so than the single gene mutation.”
Paré and his team at PHRI, along with researchers at Laval University in Quebec City, Quebec, developed the multi-gene – or “polygenic” – risk score based on 182 genetic differences related to CAD.
“There are actually several genetic differences which, combined, can significantly increase a person’s risk, even more so than the single gene mutation.”
They then compared polygenic risk scores between study participants with and without early-onset heart disease. They found that the polygenic risk score predicted one out of 53 cases of early-onset heart disease, compared to one in 256 for the single genetic test. Additionally, none of the patients with high polygenic risk scores had the rare genetic defect for familial hypercholesterolemia, meaning the current testing method would not have identified them as at-risk for early CAD.
Study participants included 30 patients from the heart clinic at Hamilton General Hospital, and 96 patients with early-onset heart disease enrolled in the UK Biobank study, a large study in the United Kingdom looking at the relationship between genetics, the environment and disease. As controls, the study also included 111,283 UK Biobank participants without early-onset heart disease. The report may be found here.
The study was funded by the Canadian Institutes of Health Research, a Canada Research Chair in Genetic and Molecular Epidemiology and a CISCO Professorship in Integrated Health Biosystems.