Abstract
Coronary artery disease (CAD) is a leading cause of death worldwide and in the United States it is responsible for more than 500,000 deaths each year. Genome-wide association studies (GWAS) have revealed connections between a number of common single nucleotide polymorphisms (SNPs) and CAD and other cardiovascular diseases. The p.Trp719Arg SNP in the kinesin-like family 6 (KIF6) gene has recently been reported as a potential risk factor for CAD as well as a predictor of response to statin therapy.
Clinical Scenario
Coronary artery disease (CAD), also called coronary heart disease (CHD), is a leading cause of death worldwide, and the most common cause of death in the United States. CAD results from the accumulation of plaque within the walls of coronary arteries, leading to the limitation of blood flow to the heart. Manifestations of CAD include angina, myocardial infarction (MI), heart failure, and arrhythmia. Risk factors associated with cardiovascular disease include age, smoking status, obesity and metabolic syndrome, high low-density lipoprotein cholesterol (LDL-C) or low high-density lipoprotein cholesterol (HDL-C) levels, elevated blood pressure, physical inactivity, insulin resistance, and diabetes mellitus [1] . Genome-wide association studies (GWAS) have identified potential associations between several single nucleotide polymorphisms (SNPs) and risk of CAD [2] .The p.Trp719Arg SNP in the kinesin-like family 6 ( KIF6 ) gene was first identified as a potential risk factor for CAD in 2007 [3][4] . Subsequent studies have suggested that this SNP may be predictive of response to statin therapy [5][6][7] . The potential patient populations for KIF6 p.Trp719Arg testing include CAD patients with or without a family history of CAD or myocardial infarction (MI), and patients considering statin therapy.
Test Description
The KIF6 p.Trp719Arg test genotypes the p.Trp719Arg SNP located within the KIF6 gene. The test is considered positive if the patient is either heterozygous or homozygous for the KIF6 p.Trp719Arg SNP. The KIF6 p.Trp719Arg test is provided by a single laboratory, Berkeley HeartLab Inc.(San Francisco, CA). No specific technical description of the assay method used for KIF6 genotyping was found on the Berkeley HeartLab website, [8] but several studies describe the general method as allele-specific real-time polymerase chain reaction (PCR) [5][6][9][10] . In the most thorough description found, the technique is characterized as a combination of PCR amplification of target sequences from genomic DNA, followed by allele-specific oligonucleotide ligation. Ligation products are detected using a bead-based microarray system (Luminex Corp.). Using this method, the authors reported an analytical sensitivity of 97.9% [9] .
Public Health Importance
CAD is the most common cause of death in the United States [1] . In addition, statins are the most commonly prescribed drugs both in individuals with CAD and those at risk for CAD [11] . Consequently, a simple diagnostic test that can effectively predict those at highest risk for CAD and those who are likely to respond favorably to statin therapy has the potential to have a large public health impact.
Published Reviews, Recommendations and Guidelines
Systematic evidence reviews
None identified.
Recommendations by independent group
None identified.
Guidelines by professional groups
None identified.
Search Strategy
A literature search of MEDLINE and EMBASE was completed on September 18, 2010, using the search terms (KIF6 OR kinesin-like family 6 OR kinesin family member 6) AND (Trp719Arg OR 719Arg) AND (cardiac OR coronary OR cardiovascular ). After limiting to English language, human, and published since January 1, 1999; this search yielded 7 citations. Citations from relevant references were also reviewed and included as appropriate.
Evidence Overview
Analytic Validity : Test accuracy and reliability in measuring KIF6 p.Trp719Arg genotype. (analytic sensitivity and specificity).
Clinical Validity : Test accuracy and reliability in [supporting clinical or public health assessment] (predictive value).
Clinical Utility : Net benefit of test in improving health outcomes.
Limitations
Conclusion
The current body of evidence shows imprecise, and in some cases, conflicting results. In addition, there is lack of clarity regarding the appropriate patient populationsand the inheritance pattern of the proposed association between KIF6 p.Trp719Arg and CAD and/or statin response. While the results with respect to statin therapy appear consistent between studies, all studies are retrospective in nature which limits the applicability of the results. Finally, the lack of any studies specifically addressing the clinical utility of this information on patient outcomes is a serious deficiency in the body of evidence. Comparative studies that specifically use genotype information to stratify patients into treatment streams are needed and ideally these studies would be prospective in nature and have sufficient follow-up to determine that outcomes are indeed different in different genotype groups. Therefore, there is currently insufficient evidence to determine the utility of routine testing in patient care.
Links
Acknowledgments
The authors would like to acknowledge the contributions of the Hayes Genetic Test Evaluation team, particularly Lisa Spock, Linnie Wieselquist and Charlotte Kuo-Benitez.
Funding information
Funding for the Health Technology Assessment that informed this work was provided by Hayes, Incorporated. Funding to create this Knol was provided by the Centers for Disease Control and Prevention under Contract No. 200-2009-F-32675.This funding was provided through the Genetic Alliance.
Competing interests
The authors are employees at Hayes, Inc., an independent health technology research and consulting company. None of the employees at this company has any financial or personal interest in any of the technologies reviewed by Hayes, Inc.. No input on report content or conclusions is permitted by manufacturers. Although the CDC funded the work to produce this article, the content is based entirely on Hayes, Inc.’s own analysis and there was no input from the CDC.
References
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