PHARMACOGENOMICS (PGx)

Cardiovascular PGx Test Panel
Test description

This test is for individuals with a clinical diagnosis of long QT syndrome (LQTS). The primary Invitae Long QT Syndrome panel includes genes that are definitively associated with LQTS or other inherited arrhythmia disorders that may present with clinical features similar to LQTS. Individuals with clinical symptoms of LQTS may benefit from diagnostic genetic testing to establish or confirm diagnosis, clarify risks, or inform management. Asymptomatic members of a family with a known LQTS pathogenic variant may also benefit by avoiding activities and medications that can trigger symptoms.

Ordering information

Turnaround Time: 3-7 business days
Preferred speciment: Saliva
Alternate specimens: Buccal Swab

Testing Kit Request Form


Clinical description

Many of cardiovascular medications are metabolized by certain cytochromes in liver. The exact same dose of a medication can produce different results in different individuals. This inter-individual variability can be due to genetic of such cytochromes or other genetic pathways. If someone has increased activity of these cytochromes, the drugs may be eliminated from body more quickly resulting in decreased efficacy. If someone has decreased activity of these cytochromes, the drugs may be built up in body resulting in toxicity. Therefore, determining the genetic make-up of an individual can help with precision prescribing of the medications.

Clopidogrel is a prodrug which needs to be activated by a cytochrome called CYP2C19. According to American College of Cardiology Foundation/American Heart Association Acute Coronary Syndrome (ACS) guidelines, genetic testing for CYP2C19 loss-of-function alleles should be considered on a case-by-case basis, especially in individuals with recurrent ACS while receiving treatment with clopidogrel.
“Error and trial approach” in case of a life-threatening condition such as acute coronary event especially may not be advisable.

The Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline recommends using an alternative agent in patients with at least one decreased function allele due to risk for decreased response. Patients with genotype of increased metabolism should be monitored for increased bleeding risk.

Warfarin, a vitamin K antagonist is a commonly used anticoagulation medication with significant inter-individual variability and narrow therapeutic index leading to frequent complications due to over and under dosing. Genetic variants in CYP2C9, CYP4F2 and vitamin K epoxide reductase complex subunit 1 (VKORC1) can predict the dose needed to meet the therapeutic level.

Statins
Concomitant use of statins such as simvastatin with certain drugs may lead to increased blood concentration of simvastatin resulting in myotoxicity. An alternative agent or a reduced dose of simvastatin should be prescribed to patients with at least one reduced function allele in SLCO1B1.


Frequency of Cytochrome P450 (CYP2D6, CYP2C9, CYP2C19) Metabolizer Types in the population
Cytochrome Poor metabolizer Intermediate metabolizer Normal metabolizer Rapid or ultra-rapid metabolizer
CYP2D6 4-7% 9-35% 50-90% 2-3%
CYP2C9 3% 30% 68% N/A
CYP2C19 2-20% 24-36% 14-44% 30%
Anticoagulants and Antiplatelet agents (Blood thinners)
Medication Gene
Warfarin* VKORC1, CYP2C9, CYP4F2
Clopidogrel CYP2C19
Ticagrelor CYP3A4, CYP3A5
Prasugrel CYP2C19
Acenocoumarol CYP2C9

*CPIC guideline pharmacogenetic algorithm https://cpicpgx.org/content/guideline/publication/warfarin/2017/28198005.pdf

Hyperlipidemia (High blood cholesterol)
Medication Gene
Simvastatin, Atorvastatin, Fluvastatin, Lovastatin, Pitavastatin, Pravastatin, Rosuvastatin SLCO1B1, CYP2C9, ABCG2
Atorvastatin CYP3A4

Hypertension (High blood pressure)
Medication Gene
Beta Blockers (Carvedilol, Timolol, Metoprolol, Propranolol, Nebivolol) CYP2D6
Clonidine ADRA2A
Antiarrhythmics (Irregular Heart Rhythm)
Medication Gene
Flecainide, Propafenone, Ranolazine CYP2D6
General Cardiac
Condition Gene
Thrombosis FII, FV, MTHFR


Tagged Genes

Primary panel:

13 genes selected


References
  • Evans WE, McLeod HL. Pharmacogenomics—drug disposition, drug targets, and side effects. N Engl J Med. 2003;348(6):538–549.
  • Johnson JA, Cavallari LH. Pharmacogenetics and cardiovascular disease: implications for personalized medicine. Pharmacol Rev. 2013;65(3):987–1009.
  • Cavallari LH, Lee CR, Beitelshees AL, et al. Multisite investigation of outcomes with implementation of CYP2C19 genotype-guided antiplatelet therapy after percutaneous coronary intervention. JACC Cardiovasc Interv. 2018;11(2):181–191. doi:10.1016/j.jcin.2017.07.022
  • Jneid H, Anderson JL, Wright RS, et al. 2012 ACCF/AHA focused update of the guideline for the management of patients with unstable angina/non–ST-elevation myocardial infarction. Circulation. 2012;126(7):875–910. doi:10.1161/CIR.0b013e318256f1e0
  • Scott SA, Sangkuhl K, Stein CM, et al. Clinical Pharmacogenetics Implementation Consortium guidelines for CYP2C19 genotype and clopidogrel therapy: 2013 update. Clin Pharmacol Ther. 2013;94(3):317–323. doi:10.1038/clpt.2013.105
  • Johnson JA, Caudle KE, Gong L, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for pharmacogenetics-guided warfarin dosing: 2017 update. Clin Pharmacol Ther. 2017.
  • Study of the Effectiveness of Additional Reductions in Cholesterol and Homocysteine (SEARCH) Collaborative Group. Intensive lowering of LDL cholesterol with 80 mg versus 20 mg simvastatin daily in 12,064 survivors of myocardial infarction: a double-blind randomised trial. Lancet. 2010;376(9753):1658–1669. doi:10.1016/S0140-6736(10)60310-8
  • The SEARCH Collaborative Group. SLCO1B1 variants and statin-induced myopathy—a genomewide study. N Engl J Med. 2008;359(8):789–799. doi:10.1056/NEJMoa0801936
  • Clinical Pharmacogenetics Implementation Consortium (CPIC). Genes–drug pairs. https://cpicpgx.org/genes-drugs
  • U.S. Food and Drug Administration. Table of pharmacogenomic biomarkers in drug labeling. https://www.fda.gov/drugs/science-and-research-drugs/table-pharmacogenomic-biomarkers-drug-labeling