Pharmacogenomics of platelet responsiveness to aspirin

[Clinical and genetic associations in patients with non-cardioembolic ischemic stroke]

OBJECTIVE

To study the associations of genetic markers influencing the residual reactivity of platelets during antiplatelet therapy with acetylsalicylic acid, and clinical and laboratory parameters, including parameters of the platelet hemostasis, in patients with non-cardioembolic ischemic stroke (IS) for a deeper understanding of the pathogenetic mechanisms and prediction of response to therapy and clinical outcome.

MATERIAL AND METHODS

The study included 296 patients (average age 64.65 [55; 76] years) undergoing treatment at the City Clinical Hospital named after. N.I. Pirogov: 98 patients with atherothrombotic IS and 196 with an unspecified pathogenetic variant of IS according to TOAST criteria. The US National Institutes of Health Stroke Severity Scale (NIHSS) was used. NIHSS scores at discharge (3 [2;7]) were significantly lower than scores at admission - 9 [6;14] (p<0.0005). Associations of ITGB3, GPIba, TBXA2R, ITGA2, PLA2G7, HMOX1, PTGS1, PTGS2, ADRA2A, ABCB1, PEAR1 polymorphisms and the intergenic region 9p21.3 with clinical and laboratory parameters were studied.

RESULTS

In the group with atherothrombotic variant of IS, ITGA2 rs1126643 and HMOX1 rs2071746 polymorphisms were associated with the degree of carotid artery stenosis, and TBXA2R rs4523 and PTGS2 rs689466 polymorphisms were associated with triglyceride levels. Associations between ITGA2 rs1062535 polymorphism and adenosine diphosphate (ADP)-induced platelet aggregation (PA), PLA2G7 rs1051931 polymorphism and collagen-induced PA as well as PEAR1 rs12041331 polymorphism and ristomycin-induced PA were identified. In patients with unspecified IS, ITGB3 rs5918 polymorphism was associated with adrenaline-induced PA; TBXA2R rs4523 with ADP-induced PA; ADRA2A rs4311994 was associated with arachidonic acid-induced PA; ITGA2 rs1062535 with ristomycin-induced PA and spontaneous aggregation (SA). Also, the SA level was affected by polymorphisms PLA2G7 rs1051931, 9p21.3 rs10120688, ABCB1 rs1045642 and ITGA2 rs1062535 was associated with the dynamics of NIHSS.

CONCLUSION

The results can be used to develop personalized approaches to secondary prevention of IS, including the selection of individual antiplatelet therapy.

Pharmacogenetics of Antiplatelet Therapy

Antiplatelet therapy is used in the treatment of patients with acute coronary syndromes, stroke, and those undergoing percutaneous coronary intervention. Clopidogrel is the most widely used antiplatelet P2Y12 inhibitor in clinical practice. Genetic variation in CYP2C19 may influence its enzymatic activity, resulting in individuals who are carriers of loss-of-function CYP2C19 alleles and thus have reduced active clopidogrel metabolites, high on-treatment platelet reactivity, and increased ischemic risk. Prospective studies have examined the utility of CYP2C19 genetic testing to guide antiplatelet therapy, and more recently published meta-analyses suggest that pharmacogenetics represents a key treatment strategy to individualize antiplatelet therapy. Rapid genetic tests, including bedside genotyping platforms that are validated and have high reproducibility, are available to guide selection of P2Y12 inhibitors in clinical practice. The aim of this review is to provide an overview of the background and rationale for the role of a guided antiplatelet approach to enhance patient care.

Review of quantitative systems pharmacological modeling in thrombosis

Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a blood clot abnormally formulated inside a blood vessel, blocking the normal blood flow. The evidence to date suggests that at least arterial thrombosis results from the same critical pathways of hemostasis. Analysis of these complex processes and pathways using quantitative systems pharmacological model-based approach can facilitate the delineation of the causal pathways that lead to the emergence of thrombosis. In this paper, we provide an overview of the main molecular and physiological mechanisms associated with hemostasis and thrombosis, and review the models and quantitative system pharmacological modeling approaches that are relevant in characterizing the interplay among the multiple factors and pathways of thrombosis. An emphasis is given to computational models for drug development. Future trends are discussed.

Cardiovascular pharmacogenetics: a promise for genomically-guided therapy and personalized medicine

Cardiovascular disease (CVD) is the leading cause of death worldwide. The basic causes of CVD are not fully understood yet. Substantial evidence suggests that genetic predisposition plays a vital role in the physiopathology of this complex disease. Hence, identification of genetic contributors to CVD will likely add diagnostic accuracy and better prediction of an individual's risk. With high-throughput genetics and genomics technology and newer genome-wide study approaches, a number of genetic variations across the human genome were uncovered. Evidence suggests that genetic defects could influence CVD development and inter-individual responses to widely used cardiovascular drugs like clopidogrel, aspirin, warfarin, and statins, and therefore, they may be integrated into clinical practice. If clinically validated, better understanding of these genetic variations may provide new opportunities for personalized diagnostic, pharmacogenetic-based drug selection and best treatment in personalized medicine. However, numerous gaps remain unsolved due to the lack of underlying pathological mechanisms for how genetic predisposition could contribute to CVD. This review provides an overview of the extraordinary scientific progress in our understanding of genetic and genomic basis of CVD as well as the development of relevant genetic biomarkers for this disease. Some of the actual limitations to the promise of these markers and their translation for the benefit of patients will be discussed.

Associations of MDR1, TBXA2R, PLA2G7, and PEAR1 genetic polymorphisms with the platelet activity in Chinese ischemic stroke patients receiving aspirin therapy

AIM

Aspirin resistance has an incidence of 5%-65% in patients with ischemic stroke, who receive the standard dose of aspirin, but the platelet function is inadequately inhibited, thereby leading to thrombotic events. Numerous evidence shows that thromboxane A₂ receptor (TXA₂ receptor, encoded by TBXA2R), lipoprotein-associated phospholipase A₂ (Lp-PLA₂, encoded by PLA2G7) and platelet endothelial aggregation receptor-1 (PEAR1, encoded by PEAR1) are crucial in regulating platelet activation, and P-glycoprotein (P-gp, encoded by MDR1) influences the absorption of aspirin in the intestine. In this study we examined the correlation between MDR1, TBXA2R, PLA2G7, PEAR1 genetic polymorphisms and platelet activity in Chinese ischemic stroke patients receiving aspirin therapy.

METHODS

A total of 283 ischemic stroke patients receiving 100 mg aspirin for 7 d were genotyped for polymorphisms in MDR1 C3435T, TBXA2R (rs1131882), PLA2G7 (rs1051931, rs7756935), and PEAR1 (rs12566888, rs12041331). The platelet aggregation response was measured using an automatic platelet aggregation analyzer and a commercially available TXB₂ ELISA kit.

RESULTS

Thirty-three patients (11.66%) were insensitive to aspirin treatment. MDR1 3435TT genotype carriers, whose arachidonic acid (AA) or adenosine diphosphate (ADP)-induced platelet aggregation was lower than that of CC+CT genotype carriers, were less likely to suffer from aspirin resistance (odds ratio=0.421, 95% CI: 0.233-0.759). The TBXA2R rs1131882 CC genotype, which was found more frequently in the aspirin-insensitive group (81.8% vs 62.4%) than in the sensitive group, was identified as a risk factor for aspirin resistance (odds ratio=2.712, 95% CI: 1.080-6.810) with a higher level of AA-induced platelet aggregation. Due to the combined effects of PLA2G7 rs1051931 and rs7756935, carriers of the AA-CC haplotype had a higher level of ADP-induced platelet aggregation, and were at considerably higher risk of aspirin resistance than noncarriers (odds ratio=8.233, 95% CI: 1.590-42.638).

CONCLUSION

A considerable portion (11.66%) of Chinese ischemic stroke patients are insensitive to aspirin treatment, which may be correlated with the MDR1 C3435T, TBXA2R (rs1131882), and PLA2G7 (rs1051931-rs7756935) polymorphisms.

Common genetic variants in platelet surface receptors and its association with ischemic stroke

Ischemic stroke has been named one of the leading causes of death worldwide. Whereas numerous biological mechanisms and molecules were found to be associated with stroke, platelets are particularly contributive to its pathogenesis. Recent data indicate considerable variability in platelet phenotype which accounts for differences in platelet surface receptor function, count and reactivity. These features collectively influence both the events leading to a disease and effectiveness of antiplatelet therapies. Consequently, genetic variants predisposing to cerebrovascular diseases can be sequenced using a wide array of techniques and become a useful tool in clinical setting. In this review, we provide an outline of common platelet polymorphisms that impose risk on ischemic stroke development and should be evaluated as targets to improve treatment. As study results are often inconsistent, partly due to differences in demographic characteristics between study populations and the fact that the functional impact of these variants has been relatively small, we conclude that both rare, low-frequency and common variants might account for genetic contribution on abnormal platelet response to antiplatelet drugs.

Next-generation re-sequencing of genes involved in increased platelet reactivity in diabetic patients on acetylsalicylic acid

The objective of this study was to investigate whether rare missense genetic variants in several genes related to platelet functions and acetylsalicylic acid (ASA) response are associated with the platelet reactivity in patients with diabetes type 2 (T2D) on ASA therapy. Fifty eight exons and corresponding introns of eight selected genes, including PTGS1, PTGS2, TXBAS1, PTGIS, ADRA2A, ADRA2B, TXBA2R, and P2RY1 were re-sequenced in 230 DNA samples from T2D patients by using a pooled PCR amplification and next-generation sequencing by Illumina HiSeq2000. The observed non-synonymous variants were confirmed by individual genotyping of 384 DNA samples comprising of the individuals from the original discovery pools and additional verification cohort of 154 ASA-treated T2DM patients. The association between investigated phenotypes (ASA induced changes in platelets reactivity by PFA-100, VerifyNow and serum thromboxane B2 level [sTxB2]), and accumulation of rare missense variants (genetic burden) in investigated genes was tested using statistical collapsing tests. We identified a total of 35 exonic variants, including 3 common missense variants, 15 rare missense variants, and 17 synonymous variants in 8 investigated genes. The rare missense variants exhibited statistically significant difference in the accumulation pattern between a group of patients with increased and normal platelet reactivity based on PFA-100 assay. Our study suggests that genetic burden of the rare functional variants in eight genes may contribute to differences in the platelet reactivity measured with the PFA-100 assay in the T2DM patients treated with ASA.

The pharmacogenetic control of antiplatelet response: candidate genes and CYP2C19

INTRODUCTION

Aspirin, clopidogrel, prasugrel and ticagrelor are antiplatelet agents for the prevention of ischemic events in patients with acute coronary syndromes (ACS), percutaneous coronary intervention (PCI) and other indications. Variability in response is observed to different degrees with these agents, which can translate to increased risks for adverse cardiovascular events. As such, potential pharmacogenetic determinants of antiplatelet pharmacokinetics, pharmacodynamics and clinical outcomes have been actively studied.

AREAS COVERED

This article provides an overview of the available antiplatelet pharmacogenetics literature. Evidence supporting the significance of candidate genes and their potential influence on antiplatelet response and clinical outcomes are summarized and evaluated. Additional focus is directed at CYP2C19 and clopidogrel response, including the availability of clinical testing and genotype-directed antiplatelet therapy.

EXPERT OPINION

The reported aspirin response candidate genes have not been adequately replicated and few candidate genes have thus far been implicated in prasugrel or ticagrelor response. However, abundant data support the clinical validity of CYP2C19 and clopidogrel response variability among ACS/PCI patients. Although limited prospective trial data are available to support the utility of routine CYP2C19 testing, the increased risks for reduced clopidogrel efficacy among ACS/PCI patients that carry CYP2C19 loss-of-function alleles should be considered when genotype results are available.

Pharmacogenomics of anti-platelet and anti-coagulation therapy

Arterial thrombosis is a major component of vascular disease, especially myocardial infarction (MI) and stroke. Current anti-thrombotic therapies such as warfarin and clopidogrel are effective in inhibiting cardiovascular events; however, there is great inter-individual variability in response to these medications. In recent years, it has been recognized that genetic factors play a significant role in drug response, and, subsequently, common variants in genes responsible for metabolism and drug action have been identified. These discoveries along with new diagnostic targets and therapeutic strategies hold promise for more effective individualized anti-coagulation and anti-platelet therapy.

Variability of platelet indices and function: acquired and genetic factors

Each individual has an inherent variable risk of bleeding linked to genetic or acquired abnormal platelet number or platelet dysfunction. In contrast, it is less obvious that the variability of platelet phenotypes (number, mean platelet volume, function) may contribute to the variable individual risk of thrombosis. Interindividual variability of platelet indices or function may be either due to acquired factors, such as age, sex, metabolic variables, smoke, dietary habits, and ongoing inflammation, or due to genetic factors. Acquired variables explain a small portion of the heterogeneity of platelet parameters. Genetic factors, instead, appear to play a major role, although a consistent portion of such a genetic variance has not yet been attributed to any specific genetic factor, possibly due to the high number of DNA loci potentially involved and to the limited effect size of each individual SNP. A portion of variance remains thus unexplained, also due to variability of test performance. A major contradiction in present platelet knowledge is, indeed, the difficulty to reconcile the universally accepted importance of platelet indices or function and the lack of reliable platelet parameters in cardiovascular risk prediction models. Trials on antiplatelet drugs were generally designed to select a homogeneous sample, whose results could be applied to an "average subject," tending to exclude the deviation/extreme values. As the current indications for antiplatelet treatment in primary or secondary prevention of ischemic vascular disease still derive from the results of such clinical trials where platelet function and its variability was not investigated, we cannot at present rely upon any current platelet test to either initiate, or monitor, or modify or stop treatment with any antiplatelet drug. Evidence is, however, increasing that traditional platelet aggregometry and other more recently developed platelet function assays could be useful to optimize antiplatelet therapy and to predict major adverse cardiac events.The observation of interindividual differences in platelet response to antiplatelet drugs has enlarged the spectrum and the possible clinical relevance of the variability of platelet indices or function. The development of "personalized medicine" will benefit from the concepts discussed in this chapter.

Effects of typheramide and alfrutamide found in Allium species on cyclooxygenases and lipoxygenases

Typheramide (N-caffeoyltyramine) and alfrutamide (N-feruloyltyramine) are phenylpropenoic acid amides found in plants. In this article, typheramide and alfrutamide were isolated from Allium sativum (garlic) and Allium fistulosum (green onion), their chemical structures were confirmed using nuclear magnetic resonance spectroscopic methods, and the potential effects on cyclooxygenases (COXs) (COX 1 and 2) and lipoxygenases (LOXs) (5- and 15-LOX) were investigated. Typheramide and alfrutamide inhibited COX 1 by 74% (P < .01) and 60% (P < .01), respectively, at the concentration of 0.1 μM; at the same concentration, they also inhibited COX 2 by 68% (P < .02) and 54% (P < .02), respectively. Typheramide was slightly stronger than alfrutamide in inhibiting COX enzymes, and the inhibition patterns of COX 1 and 2 were uncompetitive with K(i) = 0.032 and 0.047 μM, respectively. However, typheramide and alfrutamide were not able to inhibit 5-LOX, and they only moderately inhibited 15-LOX by 27% (P < .02) and 17% (P < .02), respectively, at the relatively high concentration of 25 μM. Altogether, the data suggest that typheramide and alfrutamide from garlic and green onions are likely to be significant inhibitors for COX 1 and 2 rather than 5- and 12-LOX.

The genetics of common variation affecting platelet development, function and pharmaceutical targeting

Common variant effects on human platelet function and response to anti-platelet treatment have traditionally been studied using candidate gene approaches involving a limited number of variants and genes. These studies have often been undertaken in clinically defined cohorts. More recently, studies have applied genome-wide scans in larger population samples than prior candidate studies, in some cases scanning relatively healthy individuals. These studies demonstrate synergy with some prior candidate gene findings (e.g., GP6, ADRA2A) but also uncover novel loci involved in platelet function. Here, I summarise findings on common genetic variation influencing platelet development, function and therapeutics. Taken together, candidate gene and genome-wide studies begin to account for common variation in platelet function and provide information that may ultimately be useful in pharmacogenetic applications in the clinic. More than 50 loci have been identified with consistent associations with platelet phenotypes in ≥ 2 populations. Several variants are under further study in clinical trials relating to anti-platelet therapies. In order to have useful clinical applications, variants must have large effects on a modifiable outcome. Regardless of clinical applications, studies of common genetic influences, even of small effect, offer additional insights into platelet biology including the importance of intracellular signalling and novel receptors. Understanding of common platelet-related genetics remains behind parallel fields (e.g., lipids, blood pressure) due to challenges in phenotype ascertainment. Further work is necessary to discover and characterise loci for platelet function, and to assess whether these loci contribute to disease aetiologies or response to therapeutics.

Mapping genes that predict treatment outcome in admixed populations

There is great interest in characterizing the genetic architecture underlying drug response. For many drugs, gene-based dosing models explain a considerable amount of the overall variation in treatment outcome. As such, prescription drug labels are increasingly being modified to contain pharmacogenetic information. Genetic data must, however, be interpreted within the context of relevant clinical covariates. Even the most predictive models improve with the addition of data related to biogeographical ancestry. The current review explores analytical strategies that leverage population structure to more fully characterize genetic determinants of outcome in large clinical practice-based cohorts. The success of this approach will depend upon several key factors: (1) the availability of outcome data from groups of admixed individuals (that is, populations recombined over multiple generations), (2) a measurable difference in treatment outcome (that is, efficacy and toxicity end points), and (3) a measurable difference in allele frequency between the ancestral populations.

Platelet function recovery after cessation of aspirin: preliminary study of volunteers and surgical patients

BACKGROUND AND OBJECTIVE

Recent evidence indicates that platelet function may recover more rapidly after cessation of aspirin therapy than previously thought. The present study evaluated the effect of aspirin on platelet function using platelet aggregometry in healthy individuals and in aspirin-treated patients scheduled for surgery.

METHODS

Platelet aggregation in response to arachidonic acid, epinephrine, and adenosine diphosphate was determined in 14 male volunteers during and after 10 days' aspirin administration (100 mg) and in 58 aspirin-treated patients during intake, on days 3, 4 or 6 after drug cessation, and on day 10 after drug cessation, prior to elective surgery. Urine thromboxane (11-dehydro-thromboxane B2) concentrations were also measured.

RESULTS

Platelet aggregation in response to arachidonic acid and epinephrine was significantly decreased in both volunteers and patients during aspirin administration. The aggregation normalized within 3 days of aspirin cessation in the volunteers and within 4-6 days in the patients. Urine concentration of 11-dehydro-thromboxane B2 was about three times lower with aspirin treatment than without, although in two patients concentrations were higher with aspirin.

CONCLUSION

Platelet aggregometry with arachidonic acid is a sensitive test for the evaluation of the effects of aspirin on platelet function. In most aspirin-treated patients, platelet function recovers 4 days after drug cessation, although the process is sometimes prolonged. Therefore, the time of aspirin cessation before scheduled surgery should be determined individually.

Genome-wide meta-analyses identifies seven loci associated with platelet aggregation in response to agonists

Platelet function mediates both beneficial and harmful effects on human health, but few genes are known to contribute to variability in this process. We tested association of 2.5 million SNPs with platelet aggregation responses to three agonists (ADP, epinephrine and collagen) in two cohorts of European ancestry (N Collapse

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MESH Headings

• Adenosine Diphosphate/pharmacology
• Adrenergic alpha-Agonists/pharmacology
• Cohort Studies
• Collagen/pharmacology
• Epinephrine/pharmacology
• Female
• Genome-Wide Association Study
• Genotype
• Humans
• Male
• Meta-Analysis as Topic
• Phenotype
• Platelet Aggregation/drug effects
• Platelet Aggregation/genetics
• Polymorphism, Single Nucleotide
• Prospective Studies

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Grants

• R01 HL087698 NHLBI NIH HHS
• N02 HL064278 NHLBI NIH HHS
• N01 HC025195 NHLBI NIH HHS
• M01-RR000052 NCRR NIH HHS
• N01 HC025195 NHLBI NIH HHS
• M01 RR000052 NCRR NIH HHS
• U01 HL72518 NHLBI NIH HHS
• U01 HL072518 NHLBI NIH HHS
• Z99 HL999999 Intramural NIH HHS
• N02-HL-6-4278 NHLBI NIH HHS
• N01-HC-25195 NHLBI NIH HHS
• R01 HL048157 NHLBI NIH HHS
• M01 RR005280 NCRR NIH HHS

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Affiliation(s)

Andrew D Johnson National Heart, Lung, and Blood Institute's The Framingham Heart Study, Framingham, Massachusetts, USA.
Lisa R Yanek
Ming-Huei Chen
Nauder Faraday
Martin G Larson
Geoffrey Tofler
Shiow J Lin
Aldi T Kraja
Michael A Province
Qiong Yang
Diane M Becker
Christopher J O'Donnell
Lewis C Becker

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Collaborators Collapse

Platelet pharmacogenomics

Platelet responsiveness to conventional antiplatelet therapy underlies a high interindividual variability influenced by various factors. For instance, antiplatelet therapy does not curtail the expected effects in a relevant number of patients as demonstrated by the occurrence of repeated cardiovascular events including stent thrombosis and/or by inadequate platelet inhibition measured by in vitro platelet function assays. Besides non-genetic factors such as age, gender, liver and renal function and co-medication, considerable variation of antiplatelet drug responsiveness can be attributed to genetic factors including polymorphisms and genetic variants of platelet surface proteins and drug metabolizing enzymes. Nowadays, platelet pharmacogenomics has started a new field with the goal to link genetic information of various drug targets to interindividual variability of drug response. Evolving data from large cohort studies suggest a promising role for pharmacogenomics in the context of antiplatelet therapy. Additionally, with the revolution of low cost and high-throughput genotyping techniques, genetic testing has become affordable for clinical application and individualization of therapy. However, a key issue to define the future role of pharmacogenomics will rely on the benefit and the timeliness of implementing the genetic information into therapeutic decision. Hence, it warrants further investigations to document the prognostic effects of therapeutic alterations in distinct genotypes. Concerning the safety profile of emerging antiplatelet and antithrombotic drugs in certain risk groups it would be fatal to individualize treatment barely on behalf of an atherothrombotic genotype. In contrast, individual risk assessment combining non-genetic information and pharmacogenetic analysis represents a reasonable concept. Here, we provide a review on current data describing the role of pharmacogenomics in the field of antiplatelet drug treatment in cardiovascular patients with future directions.

Personalized healthcare in clotting disorders

In terms of managing thrombotic disorders, genotype-based individualized patient care emerged as early as 1994 when the association of factor V Leiden (G1691A), and later, prothrombin (G20210A), with thrombotic phenotypes were discovered. Since then, genetic tests for specific thrombophilic SNPs have been routinely incorporated into daily practices in both thrombotic risk assessment and clinical decision-making with respect to prophylactic anti-thrombotic therapy. Recently, the area of pharmacogenomics in major anti-thrombotic drugs, such as warfarin and clopidogrel, has been the principal driver for personalized therapy based on one's own individual characteristics.

Genomic view of factors leading to plaque instability

The manifestations of coronary artery disease are varied. They all arise as a consequence of the deposition of atherosclerotic plaque within the vessel wall. The most feared sequela of coronary artery disease is sudden and unexpected death in the ostensibly healthy patient. Plaque rupture of hemodynamically insignificant atherosclerotic plaques and ensuing thrombosis is likely responsible for a large proportion of such deaths. Identifying populations at increased risk for sudden death would represent a major advance. Such screening is contingent upon identification of DNA sequence variants that predispose individuals to plaque rupture. Phenotyping is not sufficiently nuanced to detect such variants on a large scale, so we are limited to end points that are crude surrogates for plaque rupture. As imaging modalities are refined and our ability to recruit large numbers of appropriate patients is facilitated by the formation of alliances, our ability to probe this conundrum via a genome-wide approach will improve.

Impact of genetic variation on perioperative bleeding

Variation in bleeding in the perioperative period is a complex and multifactorial event associated with immediate and delayed consequences for the patient and health care resources. Little is known about the complex genetic influences on perioperative bleeding. With the discovery of multiple variations in the human genome and ever-growing databases of well-phenotyped surgical patients, better identification of patients at risk of bleeding is becoming a reality. In this review, polymorphisms in the platelet receptor genes, plasminogen activator inhibitor, and angiotensin genes among others will be discussed. We will explore the nature, effects, and implications of the genetics that influence perioperative bleeding above and beyond surgical bleeding, particularly in cardiac surgery.

Genomics: risk and outcomes in cardiac surgery

Coronary artery bypass graft surgery is associated with several frequent postoperative adverse events. Outcome prediction is valued by patients and practitioners, because it provides some measure of balancing risks and benefits and provides expensive or higher-risk therapies to individuals at highest risk. Surgeons and anesthesiologists traditionally have relied on demographic, preoperative, and intraoperative risk factors to predict outcomes after cardiac surgery. Yet, such predictions often have poor positive and negative predictive value for the individual patient. Perioperative genetics attempts to determine the impact of an individual's genetic variation on the risk of developing adverse postoperative outcomes. In this article, the authors discuss emerging evidence that a patient's genetic makeup predisposes him or her to adverse outcomes following cardiac surgery and provide examples from perioperative bleeding, myocardial injury/infarction, and atrial fibrillation.