Cardiovascular Pharmacogenetics




Abstract


This chapter will apply the principles and concepts introduced in the “Pharmacogenetics and Pharmacogenomics” chapter in volume 2, namely, discussion of four classes of genetic variants that underlie drug response to cardiovascular agents: (1) pharmacokinetic, (2) pharmacodynamics, (3) underlying disease process, and (4) off-target effects. Where appropriate, we will also discuss the application of pharmacogenetics to cardiovascular medicine. We will review major findings for the main medications used in cardiovascular medicine: antiplatelets, anticoagulants, and statins. The first description of genetic variation underlying the response to warfarin in 1964 where O’Reilly identified members of a family who required remarkably high warfarin doses of 145 mg/day, 20 times the average dose, for therapeutic anticoagulation. Since this inaugural study, cardiovascular pharmacogenetics has become a mainstay research discipline.




Keywords

Pharmacokinetic, pharmacodynamics, cardiovascular disease, polymorphism, statin, aspirin, clopidogrel, warfarin, adverse drug effects

 






  • Chapter Outline



  • Pharmacogenetics of HMG-CoA Reductase Inhibitors or “Statins” 291




    • Laboratory Response 292



    • Musculoskeletal Side Effects 294




  • Thienopyridines (Anti-platelet Agents) 295




    • Laboratory Response to Clopidogrel 296



    • Clinical Response to Clopidogrel 297



    • Clinical Implications 298




  • Warfarin 299




    • Laboratory Response to Warfarin 299



    • Other Loci 300



    • Clinical Response to Warfarin 301



    • Clinical Implications 301




  • Conclusion and Future Directions 303



  • References


This chapter will apply the principles and concepts of pharmacogenetics to four classes of genetic variants that underlie drug response to cardiovascular agents: (1) pharmacokinetic, (2) pharmacodynamics, (3) underlying disease process, and (4) off-target effects. We will review major findings for the main medications used in cardiovascular medicine: stains, antiplatelet agents, and anticoagulants. The first description of genetic variation underlying the response to warfarin in 1964 where O’Reilly identified members of a family who required remarkably high warfarin doses of 145 mg/day, 20 times the average dose, for therapeutic anticoagulation. Since this inaugural observation, cardiovascular pharmacogenetics has become a major research discipline.




Pharmacogenetics of HMG-CoA Reductase Inhibitors or “Statins”


Statins (3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors) are the most widely used medications for the primary and secondary prevention of cardiovascular disease through the reduction of low-density lipoprotein cholesterol (LDL-c). The response to statins can generally be measured in the following ways: (1) LDL-c lowering ability, (2) prevention of cardiovascular events, and (3) development of musculoskeletal and diabetic side effects. The major genetic variants described below focus on LDL-c lowering and side effects.


Laboratory Response


The main pharmacologic and biologic effect of statin medications is to lower LDL-c. Though most patients experience a 30%–50% reduction in LDL-c, there is wide variation among individuals (10%–70%) in this response to statin therapy . Genetic influences of statin-induced LDL-c lowering have been widely studied through candidate gene, resequencing, and genome wide association study (GWAS). The evidence thus far supports several loci that have been associated with LDL-c lowering: apolipoprotein E ( APOE ) (underlying disease), solute carrier organic anion transporter family, member 1B1 ( SLCO1B1 ) (pharmacokinetic), lipoprotein(a) ( LPA) (underlying disease), and SORT1 (underlying disease) and summarized in Table 16.1 . Other genes that have been inconsistently associated with LDL-c response and will not be covered are ABCB1 ( pharmacokinetic) , ABCG2 (pharmacokinetic), and HMGCR (pharmacodynamics).



Table 16.1

Summary of Major Genetic Loci Associated With Cholesterol Lowering Response to Statins
























Gene Variant (s) Effect of Variant
APOE ε2 and ε3 haplotypes defined by alleles at rs7412 58


  • ~3%–5% smaller LDL reduction with ε3 vs ε2

SLCO1B1 *5: rs4149056


  • ~1%–2% smaller LDL reduction per *5 allele

LPA rs10455872 or rs3798220


  • ~5% smaller LDL reduction per minor allele

SORT1/CELSR2/PSRC1 rs12740374


  • ~1.5% greater LDL reduction per minor allele



APOE (Apolipoprotein E)


APOE encodes a lipoprotein that is a component of many lipid particles. The two most studied loci in the APOE gene are rs7412 and rs429358, which define three haplotypes (ε2, ε3, and ε4). In Caucasians treated with atorvastatin, individuals who are heterozygous for the rare allele of rs7412 (belonging to the ε2 haplotype) experienced a 39.9% lowering of LDL-c compared with 36.4% in individuals with the major allele (belonging to the ε3 haplotype) ( P =0.002) . Furthermore, in a study of 509 patients randomized to 10 mg atorvastatin, 20 mg simvastatin, or 10 mg pravastatin, there was an attenuated LDL-c lowering with the major ε3 haplotype compared with the minor ε2 haplotype: 30% vs 36% ( P =0.005 after adjusting for statin type) . The study also tested if the effect of ε3 haplotype could be overcome by dose escalation. Even with maximally prescribed doses (80 mg atorvastatin, 80 mg simvastatin, or 40 mg pravastatin), ε3 haplotype carriers continued to have diminished LDL-c lowering compared to ε2 carriers: 39% vs 45% ( P =0.009 after adjusting for statin type) . In a metaanalysis of over 17,000 patients treated with statins, the APOE variants emerged as the most significant (metaanalysis P -value=8×10 −29 ) conferring a 5% greater LDL-c lowering compared to noncarriers . Finally, a large-scale candidate gene study of 18,705 individuals revealed that rs7412 was associated with a near 3% reduction of LDL-c per allele with simvastatin therapy . Thus, the evidence is compelling for the influence of the ε3 haplotype on LDL-c lowering, and it appears that this effect cannot be overcome by simple dose escalation.


SLCO1B1 (Solute Carrier Organic Anion Transporter Family, Member 1B1)


The majority of research on the genetic contribution to statin-induced side effects has focused on SLCO1B1 (also referred to as SLC21A6 , OATP-C , or OATP1B ), which codes for a hepatic drug transporter that mediates the hepatic uptake of statins. The *5 variant is defined by the C allele of rs4149056 and encodes an alanine to valine substitution at amino acid position 174. The polymorphism interferes with the localization of the hepatic drug transporter to the plasma membrane , resulting in elevated circulating concentrations of statins, as measured by plasma area under the curve values or Cmax . As a result of reduced function of this transporter, hepatic exposure to statins is reduced in carriers thus reducing exposure to HMGCR. As a consequence, each copy of the *5 allele confers a 1%–2% smaller LDL-c lowering compared to noncarriers . Despite this statistical significance of this finding, it does not appear that carrying the *5 allele is associated with any heightened risk of cardiovascular events despite mildly higher LDL-c .


LPA (Lipoprotein(a))


LPA codes for apolipoprotein (a) which when linked with LDL particles form Lp (a)—a well studied molecule associated with coronary artery disease (CAD). The Lp (a) molecule has both atherogenic and thrombogenic effects, in vitro, but the extent to which these translate to differences in how atherothrombotic disease presents is unknown. The rs10455872 and rs3798220 single nucleotide polymorphisms (SNPs) are independently and strongly associated with the KIV-2 copy number variant in Lp (a), which encodes variability in apo (a) size and is responsible for ~30% of variance in Lp (a) levels . Since LDL-c resides (in part) in LP (a) and statins do not lower Lp (a) levels, carriers of LPA variants have a ~5% smaller LDL-c lowering in response to statin therapy in a recent metaanalysis of statin treated patients ( P =7×10 −44 ) .


SORT1/CELSR2/PSRC1


Two variants on chromosome 1p (rs646776 and rs12740374) were recently identified in a metaanalysis of 38,000 statin treated patients studied using GWAS . These variants are in proximity to three genes SORT1, CELSR2 , and PSRC1 . The rs12740374 variant is an expression quantitative trait locus (eQTL) eQTL for the three genes, resulting in increased transcription, which produces a ~1.5% greater LDL-c lowering than noncarriers. SORT1 encodes sortilin, which reduces LDL-c through a statin-independent mechanism. Carriers of these two variants have lower levels of LDL particles that are resistant to statin lowering and as a consequence higher proportion of LDL particles that are statin responsive.


In general, the pharmacogenetic associations of LDL-c lowering with statin therapy are mild (<5% differences in LDL-c) and thus are unlikely to inform clinical decision-making given that the average LDL-c lowering with statin therapy is 30%–40%.


Musculoskeletal Side Effects


In numerous placebo-controlled clinical trials, statins have a well-defined safety profile with a small but real risk of musculoskeletal side effects. These include myalgia [with or without creatine kinase (CK) elevation], asymptomatic CK elevations, and, the most severe side effect, rhabdomyolysis . In clinical practice, the incidence of statin-associated myalgia is at 5%–10%, which is greater than that observed in controlled trials . It is believed that factors that increase statin concentration in the blood, such as statin dose or concomitant medications that interfere with statin metabolism, are likely to increase these side effects . Further evidence suggesting that side effects are related to pharmacokinetics is a study that found that, compared with controls, patients with atorvastatin-related myopathy had a 2.4-fold and a 3.1-fold higher systemic exposures of the metabolites atorvastatin lactone ( P <0.01) and p -hydroxyatorvastatin ( P <0.01), respectively .


In a GWAS of severe simvastatin-induced myopathy, the *5 allele of the SLCO1B1 gene was identified and validated in patients with severe simvastatin-induced myopathy taking 40 or 80 mg of simvastatin. Rs4149056 was the only SNP in SLCO1B1 that achieved genome-wide significance, and each copy of the C allele resulted in a 4.5-fold increased risk . Furthermore, the variant explained 60% of the cases of this severe form of myopathy. The *5 allele was then examined in a candidate gene study that focused on the more common milder CK-negative statin-induced side effects (seen in 20% of trial participants), where the *5 allele was associated with a 2.2-fold increase per allele ( P =0.03) . There also appear to be class differences in the development of statin-induced side effects. The risk for myopathy is greatest for simvastatin, followed by atorvastatin, then pravastatin . Additionally, there appears to be no increased risk of myalgia among users of rosuvastatin who carry the rs4149056 C allele in SLC01B1 . These observations follow the alterations in pharmacokinetics of these statins in *5 allele carriers . To assess the influence of the SLCO1B1 *5 on nonadherence to statin therapy (a multifactorial problem to which side effects contribute) one study included discontinuation of statin medication as part of the composite primary outcome and found that premature discontinuation due to side effects was associated with the *5 allele . Furthermore, in a study of 4196 patients with diabetes treated mainly with simvastatin, discontinuation was included as a measure of intolerance (along with switching and reduction in dose), and carriers of the *5 allele were found to have double the risk of intolerance . The body of evidence has been the most compelling for the effect of *5 on simvastatin-induced side effects. For this reason, therapeutic guidelines have been recently issued by the Clinical Pharmacogenomics Implementation Consortium (CPIC) for dosing based on SLCO1B1*5 genotype . Last, a prospective pilot study and subsequent randomized controlled trial demonstrated that incorporating SLCO1B1*5 genetic testing into the care of patients with a history of statin-induced side effects improved patients perceptions and LDL-c. Therefore, using SLCO1B1*5 genetic testing and guiding statin therapy in patients at risk for statin-induced side effects may be an effective strategy to improve adherence and LDL-c.




Thienopyridines (Anti-platelet Agents)


Thienopyridines are effective for the management of patients with CAD who experience acute coronary syndrome (ACS) and/or undergo percutaneous coronary intervention (PCI). However, a significant proportion of patients still remain at risk for death, myocardial infarction, and stent thrombosis. The laboratory response to clopidogrel is measured by platelet reactivity using adenosine diphosphate (ADP). Reduced inhibition of platelets, resulting in high platelet reactivity, is associated with an increased risk for future cardiovascular events . Platelet function in response to clopidogrel, a second generation thienopyridine, is variable and heritable, which supports clopidogrel as a prime candidate for pharmacogenetic study . The majority of the evidence surrounding clopidogrel pharmacogenetics has focused around CYP2C19 (pharmacokinetic), though there is evidence of the influence of ABCB1 (pharmacokinetic), P2RY12 (pharmacodynamic), CYP2C9 (pharmacokinetic), and CES1 (pharmacokinetic) on drug response that will not be discussed.


Laboratory Response to Clopidogrel


CYP2C219


Clopidogrel is an inactive prodrug that requires hepatic bioactivation by several enzymes, including CYP2C19 . The prodrug is converted into its active metabolite in a 2-step process involving several cytochrome P450 (CYP) enzymes. This resulting active metabolite then irreversibly inhibits the platelet ADP receptor, P2Y12 .


The activity of CYP enzymes varies considerably between individuals as a result of genetic variation. CYP2C19 is involved in both steps of clopidogrel activation: (1) conversion of clopidogrel into 2-oxo-clopidogrel, and then (2) conversion of 2-oxo-clopidogrel into the active metabolite. Genetic variants that diminish the activity of the enzyme will cause shunting of the prodrug to the esterase-mediated pathway to form inactive metabolites. This will lead to decreased levels of the active metabolite and less inhibition of platelets, ultimately leading to a greater risk of cardiovascular events .


While the *1 allele of CYP2C19 has full enzymatic activity, the *2 (rs4244385) variant is the most common of the reduced-function variants and produces a complete loss of enzymatic activity. Carriers of *2 produce a lower amount of active metabolite and therefore have attenuated clopidogrel-induced platelet inhibition . With the *2 allele, a gene–dose effect is seen, where an increasing number of reduced-function alleles results in a decreasing amount of platelet inhibition . In a multicenter, randomized clinical trial, CYP2C19 genotype was associated with on-treatment reactivity (OTR) while receiving clopidogrel after PCI, at 12–24 hours ( P =2.2×10 −15 ), 30 days ( P =1.3×10 −7 ), and 6 months ( P =1.6×10 −11 ) after PCI . Furthermore, the risk of high OTR 12–24 hours after PCI was 2.5-fold greater for carriers of one reduced-function allele and 4.5-greater for carriers of two reduced-function alleles.


Apart from *2, other loss-of-function variants exist [*3 (rs4986893), *4 (rs28399504), *5 (rs56337013)]. These variants are rare but produce similar enzymatic defects as the *2 allele .


For carriers of *2, one treatment strategy is to consider higher doses of clopidogrel. A multicenter, randomized, double-blind trial showed that in patients with stable cardiovascular disease, tripling the maintenance dose of clopidogrel to 225 mg daily in CYP2C19*2 heterozygotes achieved levels of platelet reactivity similar to that seen with the standard 75 mg dose in noncarriers; in contrast, for CYP2C19*2 homozygotes, doses as high as 300 mg daily did not result in comparable degrees of platelet inhibition . Alternative P2Y12 inhibitors are also available. Ticlopidine is a first generation thienopyridine but does not seem to be impacted by the *2 or *3 CYP2C19 polymorphisms . Prasugrel (third generation), like clopidogrel, is also a prodrug but is unique in that its bioactivation appears to be less dependent on CYP2C19 . In contrast to the metabolism of clopidogrel, esterases are part of the activation pathway and work in series with CYPs in the oxidation steps to produce the active metabolite of prasugrel . Carriers of the *2 allele produce equivalent concentrations of active metabolite and achieve similar degrees of platelet inhibition compared to noncarriers . Ticagrelor, a nonthienopyridine P2Y12 antagonist, is orally active and thus is not influenced by genetic variation at CYP2C19 , thus providing another option for carriers .


Clinical Response to Clopidogrel


CYP2C19


Since there is significant evidence for the influence of CYP2C19 variants on clopidogrel-induced laboratory outcomes, there has been considerable investigation in extending these observations to clinical outcomes. In patients who received PCI after ACS and were treated with clopidogrel, carriers of at least one *2 allele had a 1.5-fold increased risk of death, MI, and stroke in the subsequent year of follow-up compared to noncarriers . In patients with ST-segment elevation myocardial infarction (MI) who received clopidogrel, carriers of any two loss-of-function alleles (*2, *3, *4, or *5) had a twofold increase in the risk of death from any cause, nonfatal stroke, or MI in the year of follow-up . In addition to these composite outcomes, the incidence of stent thrombosis was also found to be increased threefold in carriers of at least one *2 allele and up to sixfold in carriers of two alleles . Therefore, the association between CYPC219 loss-of-function alleles and the clinical response to clopidogrel is consistent with that seen in the associations between the alleles and platelet function.


The CYP2C19 associations with clinical response are also context specific. For example, in the ACTIVE-A trial, which contained atrial fibrillation patients ineligible to receive warfarin that received a modest benefit on 75 mg clopidogrel over placebo, there was no influence of CYP2C19 loss-of-function alleles on the primary efficacy outcomes (stroke, MI, noncentral nervous system embolism, cardiovascular death) or safety outcomes (major bleed) . Furthermore, in non-PCI populations, such as the CURE trial of medically-managed ACS, there was also no effect of CYP2C19 on outcomes. Therefore, outside of the ACS/PCI window, it is unlikely that CYP2C19 polymorphisms play an important role in influencing outcomes in these conditions.


Another allele, *17, is often reported as a “gain-of-function” allele. Many initial reports found an association with improved clinical outcomes compared to noncarriers (10.0% vs 11.9%, meta analysis P =0.005) in patients with CAD. In four of these six studies, *17 carriers had an increased risk of bleeding (8.0% vs 6.5%, metaanalysis P =0.006) . However, what is often not appreciated is that the *17 is in near perfect linkage disequilibrium with the *2 allele ( D′ =1.0). Put another way, in the vast majority of patients, carrying the *17 allele implies the absence of the *2 allele and vice versa. Therefore, any analysis of *17 must account for the effects of *2 in order to assess its independent contribution. After adjustment for the *2 allele, the *17 allele confers no difference in the platelet response to clopidogrel .


In contrast to clopidogrel, prasugrel is not associated with an increased risk of cardiovascular death, MI, stroke, or stent thrombosis in carriers of the *2 allele, thus providing the rationale for substituting prasugrel for clopidogrel in carriers of *2 . Because ticagrelor is administered as an orally active drug, we should not expect genetic variation in CYP2C19 to influence the response to ticagrelor. To confirm this, investigators have shown that CYP2C19*2 does not influence platelet aggregation or clinical outcomes in patients treated with ticagrelor, unlike clopidogrel. In an effort to identify genetic variants beyond CYP2C19 that are associated with the response to ticagrelor, a recent GWAS was conducted on levels of ticagrelor and its active metabolite from the PLATO clinical trial. Genetic variants in SLCO1B1 that were in linkage disequilibrium with the SLCO1B1*5 , loss of function variants were associated with ticagrelor and active metabolite levels. None of the variants in SLCO1B1 , however, were associated with bleeding or ischemic events in the ticagrelor treated arm .


Clinical Implications


The current evidence supports the association of the CYP2C19*2 allele with increased risk of cardiovascular outcomes in ACS/PCI patients treated with clopidogrel, though not for other settings such as atrial fibrillation or medically managed ACS. In addition, alternative antiplatelet agents, such as prasugrel and ticagrelor, appear to mitigate the adverse risk of CYP2C19*2 . The food and drug administration added a warning to the label of clopidogrel notifying physicians and patients that those with certain genetic differences may not receive the full benefit of clopidogrel. Despite this, genetic testing is currently not performed in standard medical practice, and consensus statements do not currently recommend routine testing. CYP2C19*2 testing may, however, be appropriate in select situations. For instance, genetic testing could be used for diagnostic purposes in compliant clopidogrel users that develop complications such as stent thrombosis. Alternatively, genotyping may be relevant for choosing the appropriate dual antiplatelet therapy in the ACS/PCI setting where the physician requires additional information in choosing between the appropriate P2Y12 inhibitor.


For poor metabolizers, defined as those with two loss-of-function alleles (*2–*6), the current literature supports the use of an alternative antiplatelet agent over increased doses of clopidogrel, which do not show any benefit over standard doses of clopidogrel. However, for intermediate metabolizers, who have only one loss-of-function allele, other clinical factors (such as diabetes, age, body mass index [BMI]) may need to be taken into consideration in determining the most effective therapy since this group has wide interindividual variability. Therapeutic guidelines based on these data have been recently issued by the CPIC for dosing based on CYP2C19 genotype .

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Mar 19, 2019 | Posted by in CARDIOLOGY | Comments Off on Cardiovascular Pharmacogenetics

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