Pharmacogenomics of statin response

Pharmacogenetic Foundations of Therapeutic Efficacy and Adverse Events of Statins

Background: In the era of precision medicine, more attention is paid to the search for predictive markers of treatment efficacy and tolerability. Statins are one of the classes of drugs that could benefit from this approach because of their wide use and their incidence of adverse events. Methods: Literature from PubMed databases and bibliography from retrieved publications have been analyzed according to terms such as statins, pharmacogenetics, epigenetics, toxicity and drug–drug interaction, among others. The search was performed until 1 October 2016 for articles published in English language. Results: Several technical and methodological approaches have been adopted, including candidate gene and next generation sequencing (NGS) analyses, the latter being more robust and reliable. Among genes identified as possible predictive factors associated with statins toxicity, cytochrome P450 isoforms, transmembrane transporters and mitochondrial enzymes are the best characterized. Finally, the solute carrier organic anion transporter family member 1B1 (SLCO1B1) transporter seems to be the best target for future studies. Moreover, drug–drug interactions need to be considered for the best approach to personalized treatment. Conclusions: Pharmacogenetics of statins includes several possible genes and their polymorphisms, but muscular toxicities seem better related to SLCO1B1 variant alleles. Their analysis in the general population of patients taking statins could improve treatment adherence and efficacy; however, the cost–efficacy ratio should be carefully evaluated.

Marked differences in frequencies of statin therapy relevant SLCO1B1 variants and haplotypes between Roma and Hungarian populations

Background

SLCO1B1 polymorphisms are relevant in statin pharmacokinetics. Aim of this study was to investigate the genetic variability and haplotype profile of SLCO1B1 polymorphisms in Roma and Hungarian populations. Genotypes of 470 Roma and 442 Hungarian subjects for c.388A > G, c.521T > C and c.1498-1331T > C polymorphisms were determined by PCR-RFLP assay. Using these SNPs eight different haplotypes could be differentiated.

Results

Differences were found between Roma and Hungarians in SLCO1B1 388AA (24.5 vs. 45.5 %), GG (33.4 vs. 17.9 %) genotypes, AG + GG (75.5 vs. 54.5 %) carriers, in G allele frequency (0.545 vs. 0.362), respectively (p < 0.001). The most common SLCO1B1 haplotype was the ht8 (GTT) both in Roma (43.6 %) and in Hungarian (59.1 %) samples. The ht6 (GCT) was not present in Roma population samples Haplotype analyses showed striking differences between the Roma and Hungarian samples in ht4 (ATT, 37.2 % vs 20.8 %), ht5 (GCC, 1.15 % vs. 3.62 %) and ht8 (GTT, 43.6 % vs. 59.1 %) haplotypes (p < 0.01), respectively. Linkage disequilibrium analysis showed that the studied variants are in different linkage disequilibrium patterns depending on the ethnic origin.

Conclusions

Similarly to Caucasians the 388G is the minor allele in Hungarians, however, in Roma the 388A was found to be the minor allele contrary to Indians (India). The minor allele frequency of 521T > C and 1498-1331T > C SNPs are almost three times higher in Romas than in Indians (Singapore and Gujarati, respectively). Observed allele frequency for 1498-1331T > C polymorphism reflects the measured average European rates in Hungarians. The results can be applied in population specific treatment algorithms when developing effective programs for statin therapy.

A polymorphism in HLA-G modifies statin benefit in asthma

Several reports have shown that statin treatment benefits patients with asthma, however inconsistent effects have been observed. The mir-152 family (148a, 148b and 152) has been implicated in asthma. These microRNAs suppress HLA-G expression, and rs1063320, a common SNP in the HLA-G 3’UTR which is associated with asthma risk, modulates miRNA binding. We report that statins up-regulate mir-148b and 152, and affect HLA-G expression in an rs1063320 dependent fashion. In addition, we found that individuals who carried the G minor allele of rs1063320 had reduced asthma related exacerbations (emergency department visits, hospitalizations or oral steroid use) compared to non-carriers (p=0.03) in statin users ascertained in the Personalized Medicine Research Project at the Marshfield Clinic (n=421). These findings support the hypothesis that rs1063320 modifies the effect of statin benefit in asthma, and thus may contribute to variation in statin efficacy for the management of this disease.

The SLCO1B1 c.521T>C polymorphism is associated with dose decrease or switching during statin therapy in the Rotterdam Study

OBJECTIVE

The SLCO1B1 c.521T>C polymorphism is associated with statin plasma levels and simvastatin-induced adverse drug reactions. We studied whether the c.521T>C polymorphism is associated with dose decreases or switches to other cholesterol-lowering drugs during simvastatin and atorvastatin therapy, because these events are indicators of adverse drug reactions.

MATERIALS AND METHODS

We identified 1939 incident simvastatin and atorvastatin users in the Rotterdam Study, a population-based cohort study. Associations were studied using Cox proportional hazards analysis. Meta-analysis was performed with data from the Utrecht Cardiovascular Pharmacogenetics study.

RESULTS

Simvastatin users with the c.521 CC genotype had a significantly higher risk of a dose decrease or switch than users with the TT genotype [hazard ratio (HR) 1.74, 95% confidence interval (CI) 1.05-2.88]. Female sex, age below 70 years, and low starting dose were risk factors. In atorvastatin users with starting dose of more than 20 mg, the risk of a dose decrease or switch was higher in users carrying a C allele than in users with the TT genotype (HR 3.26, 95% CI 1.47-7.25). In the meta-analysis the association in simvastatin users remained, with a significantly higher risk of a dose decrease or switch in simvastatin users with two minor alleles (HR 1.69, 95% CI 1.05-2.73). For atorvastatin users no significant association was found.

CONCLUSION

In simvastatin users in the Rotterdam Study, we demonstrated an association between the c.521T>C polymorphism and dose decrease or switching, as indicators of adverse drug reactions, and provided risk factors for this association. For atorvastatin, an association was found in users with a starting dose of more than 20 mg.

Dietary modulators of statin efficacy in cardiovascular disease and cognition

Cardiovascular disease remains the leading cause of morbidity and mortality in the United States and other developed countries, and is fast growing in developing countries, particularly as life expectancy in all parts of the world increases. Current recommendations for the prevention of cardiovascular disease issued jointly from the American Academy of Cardiology and American Heart Association emphasize that lifestyle modification should be incorporated into any treatment plan, including those on statin drugs. However, there is a dearth of data on the interaction between diet and statins with respect to additive, complementary or antagonistic effects. This review collates the available data on the interaction of statins and dietary patterns, cognition, genetics and individual nutrients, including vitamin D, niacin, omega-3 fatty acids, fiber, phytochemicals (polyphenols and stanols) and alcohol. Of note, although the available data is summarized, the scope is limited, conflicting and disparate. In some cases it is likely there is unrecognized synergism. Virtually no data are available describing the interactions of statins with dietary components or dietary pattern in subgroups of the population, particularly those who may benefit most were positive effects identified. Hence, it is virtually impossible to draw any firm conclusions at this time. Nevertheless, this area is important because were the effects of statins and diet additive or synergistic harnessing the effect could potentially lead to the use of a lower intensity statin or dose.

Do MDR1 and SLCO1B1 polymorphisms influence the therapeutic response to atorvastatin? A study on a cohort of Egyptian patients with hypercholesterolemia

BACKGROUND

Statins are among the most prescribed drugs worldwide to reduce the risk of cardiovascular events. Interindividual variability in drug response is a major clinical problem and is of concern during drug development. Statins, such as atorvastatin, are taken orally and access to their site of action in the liver is greatly facilitated by both intestinal and hepatic transporters.

OBJECTIVE

To examine the impact of polymorphisms of the multidrug resistance 1(MDR1) and solute carrier organic anion transporter 1B1 (SLCO1B1) genes on the therapeutic response to atorvastatin as well as the presence of gender-gene interaction.

METHODS

Serum lipid levels were determined at baseline and 4 weeks following 40 mg/day atorvastatin treatment in 50 Egyptian hypercholesterolemic patients (27 males and 23 females). Identification of MDR1 C3435T and SLCO1B1 A388G gene polymorphisms was performed using a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.

RESULTS

Treatment with atorvastatin resulted in a mean reduction of total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), and triglyceride (TG) of 8.7 %, 9.2 %, and 4.1 %, respectively, and a mean increase of high density lipoprotein cholesterol (HDL-C) of 1 %. Baseline and post-treatment HDL-C levels were statistically significantly higher in the MDR 1 TT homozygotes when compared with the CC wild type. The percentage change in TC, LDL-C, TG, and HDL-C did not show any statistically significant difference when compared among the different MDR 1 C3435T or SLCO1B1 A388G genotypes. The SLCO1B1 GG homozygotes showed a decrease in TG, whereas there was an increase in TG following atorvastatin treatment in AA and AG carriers in females; however, males did not show any statistically significant difference. There was no statistically significant association between either the coronary artery disease (CAD) risk factors (family history of CAD, hypertension, diabetes mellitus, smoking) or concomitant medications with the percentage change in different lipid parameters.

CONCLUSION

MDR1 C3435T was associated with baseline and post-treatment HDL-C variation. SLCO1B1 A388G showed gender-related effects on TG change following atorvastatin treatment. None of the comorbidities or the concomitant medications influenced the percentage change of lipid parameters following atorvastatin treatment. The results of this study may lead to an improved understanding of the genetic determinants of lipid response to atorvastatin treatment.

Impact of variants within seven candidate genes on statin treatment efficacy

Statins are the most commonly used drugs in patients with dyslipidemia. Among the patients, a significant inter-individual variability with supposed strong genetic background in statin treatment efficacy has been observed. Genome wide screenings detected variants within the CELSR2/PSRC1/SORT1, CILP2/PBX4, APOB, APOE/C1/C4, HMGCoA reductase, LDL receptor and PCSK9 genes that are among the candidates potentially modifying response to statins. Ten variants (SNPs) within these genes (rs599838, rs646776, rs16996148, rs693, rs515135, rs4420638, rs12654264, rs6511720, rs6235, rs11206510) were analyzed in 895 (46 % men, average age 60.3+/-13.1 years) patients with dyslipidemia treated with equipotent doses of statins (~90 % on simvastatin or atorvastatin, doses 10 or 20 mg) and selected 672 normolipidemic controls (40 % men, average age 46.5 years). Lipid parameters were available prior to the treatment and after 12 weeks of therapy. Statin treatment resulted in a significant decrease of both total cholesterol (7.00+/-1.53-->5.15+/-1.17 mmol/l, P<0.0001) and triglycerides (2.03+/-1.01-->1.65+/-1.23 mmol/l, P<0.0005). Rs599838 variant was not detected in first analyzed 284 patients. After adjustment for multiple testing, there was no significant association between individual SNPs and statin treatment efficacy. Only the rs4420638 (APOE/C1/C4 gene cluster) G allele carriers seem to show more profitable change of HDL cholesterol (P=0.007 without and P=0.06 after adjustment). Results demonstrated that, although associated with plasma TC and LDL cholesterol per se, variants within the CELSR2/PSRC1/SORT1, CILP2/PBX4, APOB, APOE/C1/C4, HMGCoA reductase, LDL receptor and PCSK9 genes do not modify therapeutic response to statins.

Impact of common genetic variation on response to simvastatin therapy among 18 705 participants in the Heart Protection Study

Aims

Statins reduce LDL cholesterol (LDL-C) and the risk of vascular events, but it remains uncertain whether there is clinically relevant genetic variation in their efficacy. This study of 18 705 individuals aims to identify genetic variants related to the lipid response to simvastatin and assess their impact on vascular risk response.

Methods and results

A genome-wide study of the LDL-C and apolipoprotein B (ApoB) response to 40 mg simvastatin daily was performed in 3895 participants in the Heart Protection Study, and the nine strongest associations were tested in 14 810 additional participants. Selected candidate genes were also tested in up to 18 705 individuals. There was 90% power to detect differences of 2.5% in LDL-C response (e.g. 42.5 vs. 40% reduction) in the genome-wide study and of 1% in the candidate gene study. None of the associations from the genome-wide study was replicated, and nor were significant associations found for 26 of 36 candidates tested. Novel lipid response associations with variants in LPA, CELSR2/PSRC1/SORT1, and ABCC2 were found, as well as confirmatory evidence for published associations in LPA, APOE, and SLCO1B1. The largest and most significant effects were with LPA and APOE, but were only 2–3% per allele. Reductions in the risk of major vascular events during 5 years of statin therapy among 18 705 high-risk patients did not differ significantly across genotypes associated with the lipid response.

Conclusions

Common genetic variants do not appear to alter the lipid response to statin therapy by more than a few per cent, and there were similar large reductions in vascular risk with simvastatin irrespective of genotypes associated with the lipid response to simvastatin. Consequently, their value for informing clinical decisions related to maximizing statin efficacy appears to be limited.

Rosuvastatin and atorvastatin: comparative effects on glucose metabolism in non-diabetic patients with dyslipidaemia

The ever increasing interventional CVD outcome studies have resulted in statins being an essential factor of cardiovascular prevention strategies. The JUPITER study in 2008, despite reducing CVD and overall mortality, highlighted an increase in new onset diabetes in the rosuvastatin treated arm. Since then there have been many meta-analyses of the RCTs and the largest carried out by Sattar et al showed a significant increase in the incidence of diabetes during the trials. The findings from the individual studies when comparing the different statins were less clear. A higher statin dosage and risk factors associated with diabetes appeared to predict this phenomenon. There have been many studies investigating the effects of statins on glycaemic control, but again no clear conclusion is apparent. Despite the increase in new onset diabetes observed, the risk is clearly out-weighed by the CVD benefits observed in nearly all the statin trials. Thus, no change is required to any of the prevention guidelines regarding statins. However, it may be prudent to monitor glycaemic control after commencing statin therapy. This review will focus on atorvastatin which is the most widely used statin worldwide and rosuvastatin which is the most efficacious. This will be against a background of the effects of other statins on glucose metabolism in non-diabetic patients.

Tacrolimus and 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors: An interaction study in CYP3A5 non-expressors, renal transplant recipients

OBJECTIVES

Atherosclerosis is a significant factor affecting long-term outcome in renal transplant recipients. Studies have been conducted to determine the pharmacogenomic pathways involved in statin efficacy, efficiency, and adverse effect likelihood. However, little is known about the influence of statins on tacrolimus kinetics. The aim of this study was to investigate possible pharmacological interactions between tacrolimus and statins in CYP3A5 non-expressors, renal transplant recipients.

MATERIALS AND METHODS

Twenty-four patients, treated with tacrolimus (n=24), methylprednisolone (n=24), and mycophenolate mofetil (n=19)/azathioprine (n=1)/everolimus (n=4), participated in the study. After an observation time of 112±36 days, statins, namely, atorvastatin (n=12), simvastatin (n=8), pravastatin (n=2), or fluvastatin (n=2), were administered for additional 101±34 days. DNA was extracted from whole blood sample and polymerase chain reaction followed by restriction fragment length polymorphism analysis was used for CYP3A5 genotyping. Student's t-test and Mann-Whitney test were used to test the significance of difference in variables that passed or did not pass Kolmogorov's normality test, respectively.

RESULTS

No statistically significant difference was observed in tacrolimus daily dose, concentration, concentration/dose ratio, and volume of distribution before and during the administration of statins. Statistically significant decrease in serum cholesterol was observed after initiation of statins. Renal and hepatic function remained unchanged and no skeletal muscle abnormalities were reported.

CONCLUSIONS

The results of this study show that tacrolimus and statins do not interact in terms of efficacy, efficiency, and adverse effect likelihood. No significant clinical interaction or effect was observed, even with the use of atorvastatin or simvastatin, which are metabolized by CYP3A4 such as tacrolimus.

Pharmacogenetic interactions between ABCB1 and SLCO1B1 tagging SNPs and the effectiveness of statins in the prevention of myocardial infarction

AIMS

Genetic variability within the SLCO1B1 and ABCB1 transporter genes has been associated with modification of statin effectiveness in cholesterol management.

MATERIALS & METHODS

We conducted a case-control study using a population-based registry of pharmacy records linked to the hospital discharge records. Within a hypercholesterolemic cohort, we included 668 myocardial infarction cases and 1217 controls.

RESULTS

We tested 24 tagging SNPs and found two SNPs within ABCB1 (rs3789244, p = 0.01; rs1922242, p = 0.01) to interact with statin treatment. In addition, we found a nonsignificant haplotype-treatment interaction (p = 0.054). The odds ratio for subjects homozygous for SLCO1B1*1A was 0.49 (95% CI: 0.34-0.71) compared with 0.31 (95% CI: 0.24-0.41) for heterozygous or noncarriers of the *1A allele.

CONCLUSION

This is the first study to demonstrate that common genetic variability within the SLCO1B1 and ABCB1 genes is associated with the modification of the effectiveness of statins in the prevention of the clinical outcome, myocardial infarction.

Common sequence variants in pharmacodynamic and pharmacokinetic pathway-related genes conferring LDL cholesterol response to statins

AIMS

This study assessed the association between pharmacokinetic- and pharmacodynamic-related genes and individual responses to low-density lipoprotein cholesterol (LDL-C) change by statins in a Chinese population.

MATERIALS & METHODS

A total of 386 patients with primary hypercholesterolemia were treated with statins for 9 months. The 62 haplotype-tagging SNPs of ten candidate genes were genotyped. Treating LDL-C reduction as an outcome variable, we performed multiple linear regression models in various modes of inheritance to test the effects of SNP and haplotype variants.

RESULTS

After correction for the multiple tests, only rs12916 in HMGCR and rs9902941 in SREBF1 remained significant. For rs12916 in the HMGCR gene, individuals with CC genotype showed a reduction of 56.9 mg/dl for LDL-C, with the reduction increasing to 60.1 and 62.5 mg/dl among individuals carrying CT and TT, respectively (p-value for additive model = 0.006). For the HMGCR gene, subjects carrying the CCGTCCA haplotype had a significant increase of LDL-C (adjusted mean -7.2 +/- 2.3 mg/dl; p-value for global test = 0.002). For the ABCG8 gene, subjects carrying the ATTATCGAC haplotype had a significant reduction of LDL-C (adjusted mean -13.0 +/- 4.6 mg/dl; p-value for global test = 0.005).

CONCLUSION

Our results indicated a strong association of sequence variants of HMGCR, SREBF1 and ABCG8 genes with the reduction of LDL-C after statin treatment in a Chinese population. Future studies on the genes of drug-metabolism enzymes and transporters are warranted.

No significant effect of ABCB1 haplotypes on the pharmacokinetics of fluvastatin, pravastatin, lovastatin, and rosuvastatin

AIMS

This study aimed to investigate possible effects of ABCB1 genotype on fluvastatin, pravastatin, lovastatin, and rosuvastatin pharmacokinetics.

METHODS

In a fixed-order crossover study, 10 healthy volunteers with the ABCB1 c.1236C/C-c.2677G/G-c.3435C/C (CGC/CGC) genotype and 10 with the c.1236T/T-c.2677T/T-c.3435T/T (TTT/TTT) genotype ingested a single 20-mg dose of fluvastatin, pravastatin, lovastatin, and rosuvastatin. Plasma fluvastatin, pravastatin, and lovastatin concentrations were measured up to 12 h and plasma and urine rosuvastatin concentrations up to 48 and 24 h, respectively.

RESULTS

The ABCB1 genotype had no significant effect on the pharmacokinetics of any of the investigated statins. The geometric mean ratio (95% confidence interval) of the area under the plasma concentration-time curve from 0 h to infinity (AUC(0-infinity)) in participants with the TTT/TTT genotype to that in those with the CGC/CGC genotype was 0.96 (0.77, 1.20; P= 0.737) for fluvastatin, 0.92 (0.53, 1.62; P= 0.772) for pravastatin, 0.83 (0.36, 1.90; P= 0.644) for lovastatin, 1.25 (0.72, 2.17; P= 0.400) for lovastatin acid, and 1.10 (0.73, 1.65; P= 0.626) for rosuvastatin. The AUC(0-infinity) of lovastatin acid correlated significantly with that of rosuvastatin (r= 0.570, P= 0.009), but none of the other AUC(0-infinity) pairs showed a significant correlation.

CONCLUSIONS

These data suggest that the ABCB1 c.1236C-c.2677G-c.3435C and c.1236T-c.2677T-c.3435T haplotypes play no significant role in the interindividual variability in the pharmacokinetics of fluvastatin, pravastatin, lovastatin, and rosuvastatin.

Hepatic metabolism and transporter gene variants enhance response to rosuvastatin in patients with acute myocardial infarction: the GEOSTAT-1 Study

BACKGROUND

Pharmacogenetics aims to maximize benefits and minimize risks of drug treatment. Our objectives were to examine the influence of common variants of hepatic metabolism and transporter genes on the lipid-lowering response to statin therapy.

METHODS AND RESULTS

The Genetic Effects On STATins (GEOSTAT-1) Study was a genetic substudy of Secondary Prevention of Acute Coronary Events-Reduction of Cholesterol to Key European Targets (SPACE ROCKET) (a randomized, controlled trial comparing 40 mg of simvastatin and 10 mg of rosuvastatin) that recruited 601 patients after myocardial infarction. We genotyped the following functional single nucleotide polymorphisms in the genes coding for the cytochrome P450 (CYP) metabolic enzymes, CYP2C9*2 (430C>T), CYP2C9*3 (1075A>C), CYP2C19*2 (681G>A), CYP3A5*1 (6986A>G), and hepatic influx and efflux transporters SLCO1B1 (521T>C) and breast cancer resistance protein (BCRP; 421C>A). We assessed 3-month LDL cholesterol levels and the proportion of patients reaching the current LDL cholesterol target of <70 mg/dL (<1.81 mmol/L). An enhanced response to rosuvastatin was seen for patients with variant genotypes of either CYP3A5 (P=0.006) or BCRP (P=0.010). Furthermore, multivariate logistic-regression analysis revealed that patients with at least 1 variant CYP3A5 and/or BCRP allele (n=186) were more likely to achieve the LDL cholesterol target (odds ratio: 2.289; 95% CI: 1.157, 4.527; P=0.017; rosuvastatin 54.0% to target vs simvastatin 33.7%). There were no differences for patients with variants of CYP2C9, CYP2C19, or SLCO1B1 in comparison with their respective wild types, nor were differential effects on statin response seen for patients with the most common genotypes for CYP3A5 and BCRP (n=415; odds ratio: 1.207; 95% CI: 0.768, 1.899; P=0.415).

CONCLUSION

The LDL cholesterol target was achieved more frequently for the 1 in 3 patients with CYP3A5 and/or BCRP variant genotypes when prescribed rosuvastatin 10 mg, compared with simvastatin 40 mg. Clinical Trial Registration- URL: http://isrctn.org. Unique identifier: ISRCTN 89508434.

Single nucleotide polymorphisms in genes that are associated with a modified response to statin therapy: the Rotterdam Study

The objective of this study was to investigate whether common variation in genes involved in lipid metabolism modify the effect of statins on serum total cholesterol concentration. Statin users were identified in the Rotterdam Study, a prospective population-based cohort study of subjects >55 years of age. We studied the association between single nucleotide polymorphisms (SNPs) in genes involved in lipid metabolism and total cholesterol response to statin therapy, using linear regression analysis and adjusting for potential confounders. Replication was performed in an independent extended cohort of the Rotterdam Study. Genotype data and total cholesterol concentrations after start of statin therapy were available for 554 newly started statin users. Two SNPs were associated with a significantly higher cholesterol concentration under statin therapy: SNP rs1532624 in the CETP gene (β: 0.141  mmol l(-1), P=0.004 per additional allele) and SNP rs533556 in the APOA1 gene (β: 0.138  mmol l(-1), P=0.005 per additional allele). In the replication sample, only the CETP rs1532624 SNP again showed a significant association. The SNPs were not related to baseline total cholesterol in non-statin users. In conclusion, we found that the CETP rs1532624 polymorphism is associated with cholesterol response to statin therapy in a cohort of elderly subjects in the general population.

Genetic determinants of response to statins

In developed countries, cardiovascular disease is one of the leading causes of death. Statins are abundantly prescribed to reduce the risk of coronary artery disease by lowering cholesterol. Genetic factors are thought to be partly responsible for the interindividual variation in the response to statins. This article reviews the most important studies conducted on pharmacogenetics of statins. Currently, there is no evidence to advocate pharmacogenetic testing before initiating therapy.

Impact of apolipoprotein A5 variants on statin treatment efficacy

AIMS

Despite the fact that statin treatment efficacy is very high, there are substantial differences in treatment effectiveness among individuals. It is supposed that genetic predisposition plays an important role in these differences, but the contribution of individual polymorphisms is poorly understood. So far, more than 30 genes have been examined with ambiguous results. Apolipoprotein A5 is an important determinant of plasma lipid concentrations and its genetic variation could account for some of the observed differences in the response to statin therapy. However, this has not been analyzed before.

MATERIALS AND METHODS

We examined the putative association between APOA5 SNPs (c.-1131T>C, c.56C>G and c.457G>A) and efficacy during 3 months of statin treatment in 187 adult Caucasians. Patients were treated with low-dose (10 or 20 mg per day) simvastatin (46.3%), atorvastatin (40.5%) and lovastatin (13.2%).

RESULTS

The decrease in cholesterol was not significantly associated with the type or dose of statin. Carriers of the APOA5 genotype TT-1131 (n = 154) benefited more from statin treatment when compared with the C-1131 allele carriers (n = 33) (Delta low-density lipoprotein cholesterol: -36.3 +/- 15.1% vs Delta low-density lipoprotein cholesterol: -29.9 +/- 12.5%; p < 0.005, Mann-Whitney test). This result was independent of sex, age, BMI and APOE polymorphism.

CONCLUSION

Our results suggest that the APOA5 gene variants may play an important role in the pharmacogenetics of statin treatment.

Cardiovascular pharmacogenomics and individualized drug therapy

The goal of individualized drug therapy requires physicians to be able to accurately predict an individual's response to a drug. Both genetic and environmental factors are known to influence drug response. 'Pharmacogenetics' is the study of the role of inheritance in variation in drug response phenotypes. Pharmacogenetics is now moving genome-wide to become 'pharmacogenomics', resulting in the recognition of novel biomarkers for individual variation in drug response. This article reviews the development, promise and challenges facing pharmacogenomics, using examples of drugs used to treat or prevent cardiovascular disease.

A paucimorphic variant in the HMG-CoA reductase gene is associated with lipid-lowering response to statin treatment in diabetes: a GoDARTS study

BACKGROUND

Considerable interindividual variation exists in cholesterol-lowering response to 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR) inhibitors (statins). HMGCR catalyzes the rate-limiting step in cholesterol biosynthesis, and also plays a significant role in cholesterol homeostasis. We evaluated the association of a single nucleotide polymorphism (rs17238540) in the HMGCR gene with lipid-lowering response to statins in a large population-based cohort of patients with diabetes.

METHODS

One thousand six hundred and one patients commencing statins between 1993 and 2006 were identified from the Genetics of Diabetes Audit and Research in Tayside Scotland database. Statin response was determined by both percentage change in lipids, and whether patients failed to reach a total cholesterol target of less than or equal to 4 mmol/l. Covariates included HMGCR genotype, baseline lipids, age, sex, adherence and statin dose. All patients were genotyped for rs17238540 using a TAQMAN-based allelic discrimination assay.

RESULTS

Twenty-eight percent of individuals homozygous for the more frequent T allele failed to reach target compared with 51% of the individuals with a single copy of the minor G allele (carrier frequency 3.3%), with an adjusted odds ratio (95% confidence interval) for failure of 2.93 (1.61-5.34) mmol/l, P = 0.0005. In addition, we found that the heterozygotes had a 13% smaller reduction in total cholesterol (-32.3 vs. -37.1%, P = 0.0081) and a 27% smaller reduction in triglycerides (-27.5 vs. -37.6%, P = 0.0046).

CONCLUSION

Individuals heterozygous for the G allele of rs17238540 in the HMGCR gene may respond less well to statin therapy in terms of total cholesterol and triglyceride lowering.

Pharmacogenetics of apolipoprotein E gene during lipid-lowering therapy: lipid levels and prevention of coronary heart disease

A non-optimal plasma concentration of lipids is among the major modifiable risk factors of atherosclerosis. Therefore, the prevention of cardiovascular disease by means of lipid-lowering therapy with statins and other agents is of great importance for patient groups where a lifestyle change, for example, diet modification, does not lead to adequately reduced lipid levels. The response of low-density-lipoprotein cholesterol (LDL-C) levels to statin therapy is highly variable. This is partly attributed to hereditary variation in genes involved in pharmacokinetics, pharmacodynamics and lipid metabolism. The pharmacogenetics of lipid-lowering therapy have been investigated for more than 40 different genes. The gene for apolipoprotein E (APOE) has been the most frequently studied, particularly regarding the epsilon2/epsilon3/epsilon4 polymorphism. Those with the epsilon4 allele seem to have the poorest and those with the epsilon2 allele the strongest response to statins with regards to LDL-C levels. In addition, the epsilon2 carriers may reach the LDL-C treatment goals more frequently than epsilon4 carriers. Few studies have investigated the interaction of the APOE epsilon2/epsilon3/epsilon4 polymorphism and lipid-lowering therapy in relation to the course of coronary heart disease; the results are contradictory and so far inconclusive. This review summarizes the pharmacogenetic findings related to the influence of APOE gene variation on lipid responses and the prevention of coronary heart disease during lipid-lowering therapy.

Functional expression of human HMG-CoA reductase in Saccharomyces cerevisiae: a system to analyse normal and mutated versions of the enzyme in the context of statin treatment

AIMS

Statins - inhibitors of the 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase - are known to reduce blood cholesterol levels. In this paper, we present a Saccharomyces cerevisiae expression system, which enables quick evaluation of the sensitivity of the wild-type and/or mutant forms of human HMG-CoA reductase towards statins or other drugs.

METHODS AND RESULTS

We analysed the sequence of the HMG-CoA reductase gene in DNA extracted from blood samples of 16 patients with cardiovascular disorders. We applied the yeast system to examine the sensitivity of the wild-type and mutated versions of the hHMG-CoA reductase to different types of statins.

CONCLUSION

The yeast and mammalian HMG-CoA reductases demonstrate structural and functional conservation, and expression of human HMG-CoA reductase in yeast complements the lethal phenotype of strains lacking the HMG1 and HMG2 genes.

SIGNIFICANCE AND IMPACT OF THE STUDY

These data indicate that a yeast expression system can serve to study the influence of selected mutations in human HMG-CoA reductase on the sensitivity of the enzyme to commonly prescribed statins. Our results suggest that this model system is suitable for the development and selection of lipid-lowering drugs as well as for the examination of DNA sequence variations in the context of statin therapy.

Association between a frequent allele of the gene encoding OATP1B1 and enhanced LDL-lowering response to fluvastatin therapy

INTRODUCTION

Marked lowering of low-density-lipoprotein cholesterol (LDL-C) levels (< or =50%) with intensive statin therapy is associated with major reduction in cardiovascular risk, but is limited by a potential increase in adverse effects, thereby justifying optimization of LDL-C reduction with minimal risk. The organic anion transporting polypeptide-1B1 encoded by the SLCO1B1 gene is implicated as a major transporter in cellular uptake of statins, and notably fluvastatin. We postulated that genetic variation in SLCO1B1 might affect statin bioavailability, and might therefore influence drug response and potential adverse effects.

MATERIALS & METHODS

Elderly hypercholesterolemic subjects (n = 724), whose plasma lipid profile was determined before and 2 months after fluvastatin extended-release treatment (80 mg/day, n = 420), or placebo (n = 304), were genotyped for the most frequent nonsynonymous polymorphisms (SNP) in the SLCO1B1 gene (c.388A>G, c.463C>A and c.521T>C).

RESULTS

Due to linkage disequilibrium, only four alleles (*1b, *5, *14 and *15) of SLCO1B1 were detected in addition to the wild-type allele (*1a). The c.463A genotype, which was systematically associated with the c.388G SNP corresponding to the *14 allele was significantly associated with percentage LDL-C reduction from baseline (p = 0.005) and with mean post-treatment LDL-C values (p = 0.0005). Subjects homozygous for the c.463C genotype (n = 294) exhibited significantly less LDL-C reduction and higher post-treatment LDL-C levels (-31.5%, 138 mg/dl) relative to heterozygous C/A patients (-36.2%, 126 mg/dl; n = 111), and to homozygous A/A subjects (-41%, 115 mg/dl; n = 15).

CONCLUSIONS

These results reveal that OATP1B1 is implicated in the pharmacological action and efficacy of fluvastatin. Indeed, the common *14 allele, which is distinguished by the presence of the c.463C>A polymorphism, was associated with enhanced lipid-lowering efficacy in this study.

Variation in the 3-hydroxyl-3-methylglutaryl coenzyme a reductase gene is associated with racial differences in low-density lipoprotein cholesterol response to simvastatin treatment

BACKGROUND

Use of 3-hydroxyl-3-methylglutaryl-3 coenzyme A reductase (HMGCR) inhibitors, or statins, reduces cardiovascular disease risk by lowering plasma low-density lipoprotein cholesterol (LDL-C) concentrations. However, LDL-C response is variable and influenced by many factors, including racial ancestry, with attenuated response in blacks compared with whites. We hypothesized that single nucleotide polymorphisms in the gene encoding HMGCR, a rate-limiting enzyme in cholesterol synthesis and the direct enzymatic target of statins, contribute to variation in statin response.

METHODS AND RESULTS

Genomic resequencing of HMGCR in 24 blacks and 23 whites identified 79 single nucleotide polymorphisms. Eleven single nucleotide polymorphisms were selected to tag common linkage disequilibrium clusters. These single nucleotide polymorphisms and the common haplotypes inferred from them were tested for association with plasma LDL-C and LDL-C response to simvastatin treatment (40 mg/d for 6 weeks) in 326 blacks and 596 whites. Black carriers of H7 and/or H2 had significantly lower baseline LDL-C (P=0.0006) and significantly attenuated LDL-C response compared with black participants who did not carry either haplotype as measured by absolute response (-1.23+/-0.04 mmol/L, n=209, versus -1.45+/-0.06 mmol/L, n=117; P=0.0008) and percent response (-36.9+/-1.0% versus -40.6+/-1.3%; P=0.02), but no haplotype effect was observed in whites. Percent LDL-C response was lowest in carriers of both H2 and H7, all but one of whom were black (-28.2+/-4.9%, n=12 H2+H7 carriers, versus -41.5+/-0.5%, n=650 H2/H7 noncarriers; P=0.001). LDL-C responses in H7 and/or H2 noncarriers were indistinguishable between blacks and whites.

CONCLUSIONS

HMGCR gene polymorphisms are associated with reduced plasma LDL-C and LDL-C response to simvastatin, and these effects are most evident in blacks.