Key result
Predictive genetic testing shows promise for CAD risk stratification but faces major implementation hurdles.
Why the study?
Individual risk prediction and stratification for CAD is difficult due to its multifactorial, polygenic nature and environmental components, prompting interest in genotype-based risk prediction.
Does genotype-based CAD risk prediction improve upon the discrimination and stratification offered by conventional risk factors alone?
Population
Individuals at risk for coronary artery disease
Comparison
Genotype-based CAD risk prediction versus conventional risk factors and family history
Design
Review
Authors
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Genetic CAD risk prediction shows promise but faces implementation challenges; leaves open its added value over traditional factors in clinical practice.
Does genotype-based CAD risk prediction improve upon the discrimination and stratification offered by conventional risk factors alone?
While genetic testing for CAD risk variants like the 9p21.3 locus shows promise, its clinical utility and superiority over traditional risk factors remain complex and challenging to implement.
Johansen et al. (2009) conducted a review in Coronary artery disease. Predictive genetic testing was evaluated. Predictive genetic testing for coronary artery disease may eventually offer clinical utility for risk stratification, though its successful implementation faces intrinsic complexities.
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