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New genetic tool allows researchers to predict risk of heart attack

Researchers in the UK and Australia conducted large-scale genome studies to identify people at risk of heart attack or heart disease at an early age.

Heart disease, also known as coronary artery disease, is the leading cause of morbidity and death worldwide. Family history is a known risk factor for heart disease. However, advances in genome sequencing technology now allow researchers to find links between traits and genetic variants across a population. Results from these genome-wide association studies allow researchers to develop tools to measure the genetic risk for disease.

A team of researchers from the United Kingdom and Australia developed a Genomic Risk Score (GRS) that can identify people at higher risk of heart attack or developing heart disease due to genetics. The study was recently published in the Journal of the American College of Cardiology.

The researchers looked at genomic data from almost 500,000 people between the ages of 40 and 69 years from the previous UK Biobank study. Socioeconomic, health, and medical information was collected at the start of the study. Genomic data were analyzed to pick out genetic variants associated with heart disease.

From these data, researchers used approximately 1.7 million genetic variants in a person’s DNA to estimate their genetic risk for heart disease using the Genomic Risk Score. The study found that people with a risk score in the top 20% of the population were more than four times as likely to develop heart disease than people with a risk score in the bottom 20% of the population.

Leaders of this study hope the Genomic Risk Score tool will help identify people at high risk for heart disease much earlier in life. Currently, people are evaluated for risk of heart disease starting in their forties. Because DNA does not change, the Genomic Risk Score can be measured at any age, even in childhood. Early identification of those at high risk for heart disease is key to prevention. The Genomic Risk Score offers a cost-effective way of identifying patients who would most benefit from early heart disease interventions.

Written by Cindi A. Hoover, Ph.D.


  1. Inouye M, Abraham G, Nelson CP, et al. Genomic risk prediction of coronary artery disease in 480,000 adults. Implications for primary prevention.2018. J Am Coll Cardiol. 72:16:1884-1893.
  2. Genetic tool to predict adult heart attack risk in childhood.
Cindi Hoover PhD
Cindi Hoover PhD
Cindi has a Ph.D. in Marine Science from the University of Delaware and a B.S. in Biology from the College of William and Mary. Her research focused on the genetics and molecular biology of corals. Cindi gained scientific writing experience through her many years of work in genomics and molecular biology laboratories. She is excited to contribute to Medical News Bulletin and to help others learn about cutting-edge scientific research. In her free time, Cindi enjoys hanging out with her family, swimming, hiking, and photography.


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