Impact of β(1)- and β(2)-adrenergic receptor gene single nucleotide polymorphisms on heart rate response to metoprolol prior to coronary computed tomographic angiography

β2 -Adrenergic Receptor Gene Affects the Heart Rate Response of β-Blockers: Evidence From 3 Clinical Studies

β-Blockers' heart rate (HR)-lowering effect is an important determinant of the effectiveness for this class of drugs, yet it is variable among β-blocker-treated patients. To date, genetic studies have revealed several genetic signals associated with HR response to β-blockers. However, these genetic signals have not been consistently replicated across multiple independent cohorts. Here we sought to use data from 3 hypertension clinical trials to validate single-nucleotide polymorphisms (SNPs) previously associated with the HR response to β-blockers. Using linear regression analysis, we investigated the effects of 6 SNPs in 3 genes, including ADRB1, ADRB2, and GNB3, relative to the HR response following β-blocker used in the PEAR (n = 757), PEAR-2 (n = 368), and INVEST (n = 1401) trials, adjusting for baseline HR, age, sex, and ancestry. Atenolol was used in PEAR and INVEST, and metoprolol was used in PEAR-2. We found that rs1042714 and rs1042713 in ADRB2 were significantly associated with HR response to both β-blockers in whites (rs1042714 C-allele carriers, meta-analysis β = -0.95 beats per minute [bpm], meta-analysis P = 3×10^-4 ; rs1042713 A-allele carriers, meta-analysis β = -1.15 bpm, meta-analysis P = 2×10^-3 ). In conclusion, the results of our analyses provide strong evidence to support the hypothesis that rs1042714 and rs1042713 in the ADRB2 gene are important predictors of HR response to cardioselective β-blockade in hypertensive patient cohorts.

Genome-Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β-Blockers

Background

For many indications, the negative chronotropic effect of β‐blockers is important to their efficacy, yet the heart rate (HR) response to β‐blockers varies. Herein, we sought to use a genome‐wide association approach to identify novel single nucleotide polymorphisms (SNPs) associated with HR response to β‐blockers.

Methods and Results

We first performed 4 genome‐wide association analyses for HR response to atenolol (a β1‐adrenergic receptor blocker) as: (1) monotherapy or (2) add‐on therapy, in 426 whites and 273 blacks separately from the PEAR (Pharmacogenomic Evaluation of Antihypertensive Responses) study. A meta‐analysis was then performed between the genome‐wide association analysis performed in PEAR atenolol monotherapy and add‐on therapy, in each race separately, using the inverse variance method assuming fixed effects. From this analysis, SNPs associated with HR response to atenolol at a P<1E‐05 were tested for replication in whites (n=200) and blacks (n=168) treated with metoprolol (a β1‐adrenergic receptor blocker). From the genome‐wide association meta‐analyses, SNP rs17117817 near olfactory receptor family10 subfamily‐p‐member1 (OR10P1), and SNP rs2364349 in sorting nexin‐9 (SNX9) replicated in blacks. The combined studies meta‐analysis P values for the rs17117817 and rs2364349 reached genome‐wide significance (rs17117817G‐allele; Meta‐β=5.53 beats per minute, Meta‐P=2E‐09 and rs2364349 A‐allele; Meta‐β=3.5 beats per minute, Meta‐P=1E‐08). Additionally, SNPs in the OR10P1 and SNX9 gene regions were also associated with HR response in whites.

Conclusions

This study highlights OR10P1 and SNX9 as novel genes associated with changes in HR in response to β‐blockers.

Clinical Trial Registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT00246519.

Germline genetic variants with implications for disease risk and therapeutic outcomes

Genetic testing has multiple clinical applications including disease risk assessment, diagnosis, and pharmacogenomics. Pharmacogenomics can be utilized to predict whether a pharmacologic therapy will be effective or to identify patients at risk for treatment-related toxicity. Although genetic tests are typically ordered for a distinct clinical purpose, the genetic variants that are found may have additional implications for either disease or pharmacology. This review will address multiple examples of germline genetic variants that are informative for both disease and pharmacogenomics. The discussed relationships are diverse. Some of the agents are targeted for the disease-causing genetic variant, while others, although not targeted therapies, have implications for the disease they are used to treat. It is also possible that the disease implications of a genetic variant are unrelated to the pharmacogenomic implications. Some of these examples are considered clinically actionable pharmacogenes, with evidence-based, pharmacologic treatment recommendations, while others are still investigative as areas for additional research. It is important that clinicians are aware of both the disease and pharmacogenomic associations of these germline genetic variants to ensure patients are receiving comprehensive personalized care.

ADRB2 polymorphisms predict the risk of myocardial infarction and coronary artery disease

Recently, the rs1042713 G > A and rs1042714 C > G polymorphisms in the beta-2 adrenergic receptor (ADRB2) gene were shown to be related to atherosclerosis diseases. Therefore, we performed a systemic meta-analysis to determine whether the two functional polymorphisms are related to the risk of myocardial infarction (MI) and coronary artery disease (CAD). We identified published studies that are relevant to our topic of interest. Seven case-control studies, with a total of 6,843 subjects, were incorporated into the current meta-analysis. Our analysis showed a higher frequency of rs1042713 G > A variant in patients with MI or CAD compared to healthy controls. A similar result was also obtained with the rs1042714 C > G variant under both the allele and dominant models. Ethnicity-stratified subgroup analysis suggested that the rs1042714 C > G variant correlated with an increased risk of the two diseases in both Asians and Caucasians, while rs1042713 G > A only contributes to the risk of two diseases in Asians. In the disease type-stratified subgroups, the frequencies of both the rs1042713 G > A and rs1042714 C > G variants were higher in the cases than in the controls in both the MI and CAD subgroups. Collectively, our data contribute towards understanding the correlation between the rs1042713 G > A and rs1042714 C > G polymorphisms in ADRB2 and the susceptibility to MI and CAD.

Associations between ADRB1 and CYP2D6 gene polymorphisms and the response to β-blocker therapy in hypertension

OBJECTIVE

To investigate the associations between β1-adrenergic receptor (ADRB1) and cytochrome P450 2D6 (CYP2D6) gene polymorphisms and β-blocker treatment outcomes in patients with hypertension.

METHODS

Chinese patients with essential hypertension were treated with the β-blocker metoprolol and followed up for 12 weeks. xTAG® liquid-chip technology was used for CYP2D6 100 C > T and ADRB1 1165G > C genotyping. Associations between gene polymorphisms and antihypertensive therapy outcomes were assessed by generalized linear model fitting. A decrease of ≥ 10 mmHg in systolic blood pressure indicated an effective treatment outcome.

RESULTS

A total of 93 patients were included in the study. Mutant allele frequencies of 61.29% and 58.60% were obtained for ADRB1 and CYP2D6, respectively. There was no significant interaction between the effects of ADRB1 and CYP2D6 gene polymorphisms on treatment outcome. Patients homozygous for the mutant ADRB1 genotype (CC) had better treatment outcomes than those heterozygous for the mutation (GC). Interestingly, β-blocker treatment duration was an independent factor associated with treatment outcome.

CONCLUSIONS

The ADRB1 1165G > C gene polymorphism and β-blocker treatment duration are independent factors associated with β-blocker treatment outcome. These findings suggest that the selection of antihypertensive therapy should take into consideration the patient's genotype.

Relationship between polymorphisms in beta -2 adrenergic receptor gene and ischemic stroke in North Indian Population: a hospital based case control study

Background

Stroke is a multi-factorial disease and influenced by both genetic and environmental factors. The purpose of the present case control study was to check the relationship between beta-2 adrenergic receptor (ADRB2) polymorphism and ischemic stroke in North Indian Population.

Methods

In a hospital based case control study, patients with ischemic stroke and control subjects from outpatient department and neurology ward of All India Institute of Medical Sciences New Delhi. Genotyping was performed by using Polymerase chain reaction–Restriction fragment length polymorphism. Frequency distributions of genotypes and alleles were compared between cases and controls using multivariate logistic regression.

Results

In this study, 224 patients and 224 age-and sex-matched control subjects were recruited. Mean age of cases and controls were 53.9 ± 13.4 and 53.6 ± 12.9 years respectively. Multivariate logistic regression analysis showed an independent association between Gln27Glu polymorphism and large vessel stroke (LVD) under a recessive model of inheritance (OR 3.9; 95% CI 1.3 to 11). An age-stratified analysis, suggested independent association between Gln27Glu polymorphism and ischemic stroke, large vessel disease and small vessel disease stroke who had onset of disease at an older age.

Conclusions

The findings of the present study suggest that Gln27Glu polymorphism of the ADRB2 gene may confer higher risk of large vessel disease stroke in a North Indian population. Prospective studies with larger sample size are required for independent validation.