Abstract
Genetic variation influences the absorption and efflux of drugs in the intestine, the metabolism of drugs in the liver and the effects of these drugs on their target proteins. Indeed, variations in genes whose products have a role in the pathophysiology of nonmalignant gastrointestinal diseases, such as IBD, have been shown to affect the response of patients to therapy. This Review provides an overview of pharmacogenetics in the management of nonmalignant gastrointestinal diseases on the basis of data from clinical trials. Genetic variants that have the greatest effect on the management of patients with IBD involve the metabolism of thiopurines. Variation in drug metabolism by cytochrome P450 enzymes also requires attention so as to avoid drug interactions in patients receiving tricyclic antidepressants and PPIs. Few genotyping tests are currently used in the clinical management of patients with nonmalignant gastrointestinal diseases, owing to a lack of data from clinical trials showing their effectiveness in predicting nonresponse or adverse outcomes. However, pharmacogenetics could have a beneficial role in enabling pharmacotherapy for nonmalignant gastrointestinal diseases to be targeted to the individual patient.
Introduction
Pharmacokinetics refers to the study of the relationship between drug dose and drug concentration in plasma or tissue (often as a function of time). Pharmacokinetic variation among individuals reflects differences in drug absorption, distribution, metabolism and excretion—factors that modulate the availability of the drug or metabolite at therapeutic targets. Pharmacodynamics involves the study of the relationship between drug concentrations and drug effects, which can be measured through clinical end points or biomarkers. One type of biomarker that will be described in this article is colonic transit measured by scintigraphy.1
Pharmacogenetics is the study of the contribution of variants in one or several genes to the response of patients to drugs. A fundamental concept in pharmacogenetics is that a particular drug response is influenced by a limited number of genes whose products include drug-metabolizing enzymes, receptors and transporters; the altered functions of these gene products contribute to the pathophysiology of disease.2 By contrast, genome-wide studies explore outcomes of drug treatment based on the entire genome, and this discipline is termed pharmacogenomics.3,4
The proposed and anticipated benefit of pharmacogenetics is that it will lead to improved, ‘personalized’ care for individuals and so will maximize therapeutic responses while minimizing adverse effects and toxicity. For single-gene testing to be useful, variation in the response to a drug must largely reflect functional differences between the products of a gene that exist in a limited number of versions (known as alleles). Generally, each person has inherited two identical or dissimilar alleles; the functional activity of the gene product reflects the presence of two, one or no functional alleles (Box 1).2
Box 1. Principles of genetic variation.
Genetic variants that affect <1% of the general population are referred to as mutations. In pharmacogenetics, the genetic variants are usually present in >1% of the population, and are called polymorphisms. Many genetic variants do not change the amino acid translated in the synthesized protein (called synonymous) or do not affect protein quantity, structure or function when compared with the original protein (nonfunctional). Polymorphisms are functional when they alter protein quantity or function, potentially resulting in therapeutic failure or unwanted drug adverse effects. In candidate genes, the genetic variants could plausibly explain a given phenotype, such as severity of disease or a response to drug (termed pharmacokinetics and pharmacodynamics, respectively).4
Principles of genetic variation
Variations in genes (and their encoded proteins) can alter the outcomes of drug-based therapy through two broad mechanisms. First, variations in germline genes affect drug processing and/or metabolism as these genes encode transporters, receptors or enzymes in the metabolic pathway of a drug. Second, variations in the germ-line or somatic genes that regulate metabolic pathways involved in the pathophysiology of gastrointestinal diseases also affect drug efficacy. These genetic variations might result from insertions or deletions, gene rearrangements, splice variants or copy number variants, or, more commonly, from substitutions of one or multiple nucleotides in the DNA (Box 1). Variations in somatic genes are germane to malignant diseases, rather than non-malignant gastrointestinal diseases, which constitute the focus of this Review.
Variants can also affect the protein-coding region of a gene, which leads to changes in the primary amino acid sequence and protein function, potentially affecting either the pharmacokinetics or pharmacodynamics of the drug. Variants in noncoding regions, which regulate the amount of mRNA transcribed and, thus, the amount of protein synthesized, might also have a considerable effect on drug function. The effect and clinical relevance of such metabolic alterations are greater when there is a narrow therapeutic index or a small difference between the amount of a drug required for an effective dose and that of a toxic dose, or when a single pathway is primarily involved in the elimination of the drug. Polymorphisms in the genes encoding drug-metabolizing enzymes can either modify functional groups (phase I reactions) or conjugate with endogenous substituents (phase II reactions).5
Variations in protein-coding or noncoding regions of DNA can alter the regulation of gene expression, transcription of receptors, transporters or drug targets and so affect the pharmacodynamics of the drug. Such variants tend to be disease or drug specific and control drug–target responsiveness to fixed drug concentrations.6,7 This Review addresses the role of pharmacogenetics in nonmalignant diseases of the gastrointestinal tract, excluding liver disease. The effect of pharmacogenetics is often appraised on the basis of data from clinical trials. In the field of neurogastroenterology (such as motility disorders and IBS), however, little data from clinical trials exist, and therefore, pharmacogenetic effects on pharmacodynamic end points are described here. Some of these pharmacodynamic end points are based on biomarkers, such as colonic transit by scintigraphy, which are considered to be highly predictive of clinical response.1 For each example, the criteria developed by Naranjo et al.8 and modified by Gardiner and Begg9 have been used to assess the evidence to support implementation of pharmacogenetic testing in a clinical setting (Box 2 and Box 3).
Box 2. Algorithm for association of altered drug effects and genetic variation.
Scoring: 2 points for strong effect and/or evidence, 1 point for weak effect and/or evidence, 0 for no effect and/or evidence
The net change in concentrations of major active moieties is marked
All active moieties have been considered
Genotype accurately predicts desired effects
A clear concentration–effect relationship for desired effect is present
Genotype accurately predicts adverse effects
A clear concentration–effect relationship for serious adverse effects is observed
The drug has a low therapeutic index
Autophenocopying occurs (2 for strong evidence/effect, 1 for weak, 0 for none)
Pharmacoeconomic analysis is supportive
Prospective studies demonstrate benefits of genotyping
Usefulness of prospective genotyping: range 0–18
Definite: 14–18; probable: 9–13; possible: 4–8; unlikely: 0–3
Permission obtained from Gardiner, S. J. & Begg, E. J. Pharmacogenetics, drug-metabolizing enzymes, and clinical practice. Pharmacol. Rev. 58, 521–590 (2006).
Box 3. Assessing clinical implementation of pharmacogenetics.
Does genotype accurately predict adverse effect and/or nonresponse in patients?
Does genotyping offer clear advantages over phenotyping?
Does the drug have a narrow ‘therapeutic window’?
Is there an equivalent alternative drug available?
Is the adverse effect or consequence of nonresponse serious?
Does the adverse effect/nonresponse occur at an ‘appreciable’ frequency?
Is the pharmacoeconomics analysis supportive (that is, cost of testing is less than not testing)?
Do prospective studies which demonstrate benefits of genotyping exist?
Drug absorption
P-glycoprotein
P-glycoprotein is encoded by the ABCB1 gene (more commonly called the MDR1 gene). P-glycoprotein is an ATP-dependent pump involved in drug transport through biological membranes and is expressed at several sites (including the lower gastrointestinal tract and blood–brain barrier). P-glycoprotein acts as an efflux pump that prevents the accumulation of several, potentially toxic, xenobiotics, such as bacterial toxins, plant-derived antibiotics from the environment or administered drugs. Therefore, this pump stops these drugs from reaching compartments and cells that express P-glycoprotein, such as enterocytes, hepatocytes, renal proximal tubular cells and capillary endothelial cells. P-glycoprotein in the intestinal mucosal epithelium reduces the bioavailability of drugs used for gastrointestinal diseases, including ciclosporin and corticosteroids. Conversely, administration of ciclosporin (which is a P-glycoprotein inhibitor) increases absorption of several drugs, including statins, from the gastrointestinal tract and so increases their intestinal availability.10
The clinical significance of P-glycoprotein in non-malignant gastrointestinal diseases has been demonstrated.11 ABCB1 gene expression in peripheral blood lymphocytes and intestinal epithelial cells was associated with a poor response to corticosteroids in inflammatory diseases of the large intestine.11 Furthermore, over-expression of ABCB1 mRNA in peripheral blood mono-nuclear cells in patients with IBD seems to be induced by high doses of corticosteroids;12 overexpression of ABCB1 might then impair the efficacy of steroids in these patients.13
Single nucleotide polymorphisms (SNPs) in the ABCB1 gene (ABCB12677G>T/A and ABCB13435C>T) were associated with a reduced response to azathioprine in 327 Spanish patients with Crohn’s disease.14 Although the ABCB12677TT genotype was associated with a good short-term remission rate in patients with steroid- resistant ulcerative colitis treated with tacrolimus,15 this genotype was also associated with a higher risk of ciclosporin failure in patients with this disease.16
Genetic characteristics that are associated with the response of patients to domperidone therapy include polymorphism rs9282564 (ABCB161A>G), which was significantly associated with an effective dose of domperidone (P = 0.0277 by univariate analysis) in patients with gastroparesis.17 Indeed, patients with ABCB161AG and ABCB161AA genotypes required an average dose of 94.6 mg/day and 68.9 mg/day, respectively, for the drug to be effective.17 Nonsynonymous ABCB1 variants and haplotypes with an allele frequency ≥2% transiently expressed in HEK293T cells had a decreased sensitivity to specific substrates, including ciclosporin, than the wild-type gene.18 Altered efflux and bioavailability of domperidone (if domperidone is handled similarly to ciclosporin) might explain why the ABCB161AG genotype group required a dose 1.5 times greater than the ABCB161AA genotype group.
In summary, P-glycoprotein genotyping is generally not applied in clinical practice because the genotype has not been shown to accurately predict an adverse effect and/or nonresponse to drugs that are affected by genetic variations in ABCB1.
Drug metabolism
Phase I metabolism
Cytochrome P450 (CYP) enzymes are responsible for the metabolism of endogenous and exogenous compounds in the human body. Among the 18 identified human CYP families, CYP2 is the most diverse and is associated primarily with phase I metabolism (including oxidation, dehydrogenation and esterification) of a large number of exogenous compounds.19 Indeed, the CYP2 family includes a variety of drug-metabolizing enzymes encoded by polymorphic genes. Molecular variations in the genes encoding CYP2D6, CYP2C19 and CYP2C9 have the greatest clinical impact.20 Furthermore, when samples from Finnish, Indian, American and diverse African populations were analyzed at four CYP2C9, two CYP2C19, and 12 CYP2D6 loci, those variants that conferred altered enzyme activity were found to occur in all geographic regions, reaching extremely high frequencies in certain populations (Figure 1).21 A distinct geographic pattern of variation of the genes studied was observed, suggesting that population substructure can strongly affect the variation in pharmacogenetic loci.21 The cause of the marked inter-racial variation in CYP drug metabolizer phenotypes is incompletely understood; an intriguing hypothesis is that worldwide differences in diet or xenobiotics in the environment contribute to the development of variation.22,23
Figure 1.
Distribution of CYP2 altered activity variants in different geographic regions. a | CYP2C9. b | CYP2C19. c | CYP2D6. Permission obtained from Wolters Kluwer Health © Sistonen, J. et al. Pharmacogenet. Genomics 19, 170–179 (2009).
CYP2D6
CYP2D6 participates in the hepatic metabolism and elimination of more than 100 drugs.2 CYP2D6 metabolism can be classified as ultra-rapid, extensive, intermediate or poor, according to the number of functional alleles (>3–0). Poor metabolizers constitute ~1% among Asian populations and 5–10% among white populations.24 Gene multiplication might result in three or more functional CYP2D6 alleles, and some ethnic groups have >10 functional alleles.25 Multiple copies of the CYP2D6 gene are relatively infrequent among Northern Europeans, whereas in East African populations the frequency of multiple copies of the gene can be as high as 29%.21,25,26 Functional alleles include CYP2D6*1, CYP2D6*2, CYP2D6*9, CYP2D6*10 and CYP2D6*17. The most common nonfunctional alleles are CYP2D6*3, CYP2D6*4, CYP2D6*5 and CYP2D6*6.2
CYP2D6 metabolism affects tricyclic antidepressants and selective serotonin-reuptake inhibitors, which are extensively used to treat functional gastrointestinal disorders and visceral hypersensitivity.27 CYP2D6 genotyping and phenotyping are not routinely performed in gastroenterological practice, on the assumption that escalating the dosage of drugs on the basis of measured blood levels or inadequacy of clinical response is relatively safe. Nevertheless, given the multitude of drugs metabolized by CYP2D6, as well as the number of drugs that inhibit or activate it, gastroenterologists should be aware of possible drug interactions. No consensus has been reached in the psychiatry literature regarding the routine use of CYP2D6 testing for prescribing antidepressants.28
Codeine analgesia results from O-demethylation of 10% of the administered dose by CYP2D6 to produce morphine.29 Normally, approximately 90% of codeine is inactivated by CYP3A4, either through N-demethylation to norcodeine or by undergoing glucuronidation.30 The 10% of white people who are poor metabolizers might not therefore achieve analgesia at standard doses. Although not described in the context of gastrointestinal practice, the presence of multiple functional alleles of CYP2D6 (in approximately 10% of white people, and potentially more people of East African origin) might lead to ultra-rapid metabolism, resulting in potentially fatal respiratory depression,30 as proposed for the lactation-related death of an infant.31,32
CYP2C19
The CYP2C19 gene contains several polymorphisms that result in poor metabolism of multiple drugs (such as PPIs), including: CYP2C19681G>A on exon 5 (CYP2C19*2);33 CYP2C19636G>A on exon 4 (CYP2C19*3);34 CYP2C19A>G in the initiation codon (CYP2C19*4)35 and CYP2C191297C>T on exon 9 (CYP2C19*5).36
Ethnic differences have been observed with respect to CYP2C19*2 and CYP2C19*3 alleles and genotype frequency. The frequency of poor metabolizers (homozygous for variant alleles) is 13–23% in Asian populations and 2–5% in white populations.37 Poor metabolizers have decreased microsomal hydroxylation in the liver and demonstrate area under the curve (AUC) values that are 5–12 times higher than extensive metabolizers.38 Those people who are heterozygous for the variant alleles demonstrate AUC values that are 2–4 times higher than extensive metabolizers (homozygous for nonvariant alleles)—consistent with a gene–dose effect. Enhanced pharmacokinetics translates into better pharmacodynamics, with median 24 h intragastric pH values reflecting the metabolizer status: highest pH (and PPI effect) in poor metabolizers, intermediate in heterozygotes, and lowest in extensive metabolizers.38 Enhanced pharmacodynamics results in improved healing rates of esophagitis. Indeed, the endoscopic cure rate for esophagitis at 8 weeks for poor metabolizers, heterozygotes and extensive metabolizers was 85–100%, 68–95%, and 46–77%, respectively.39,40 In patients infected with Helicobacter pylori, the wild-type genotype for CYP2C19 correlates with a poorer response (20% lower cure rate) to combination therapy with a PPI and two antibiotics, as found in two meta-analyses of 12 and 8 studies respectively.41,42
Despite the advent of a commercially available micro-array-based genotyping test for CYP enzymes,43 the low prevalence of CYP2C19 polymorphisms in white populations makes genotyping of little clinical significance in the treatment of reflux esophagitis or peptic ulceration. Moreover, the practical implication for 1 in 5 Chinese people or patients with variant CYP2C19 alleles is that standard doses of PPIs might be excessive. For example, in a midwestern US study in patients with reflux esophagitis, variant alleles of CYP2C19 were associated with significantly lower odds of gastric acid breakthrough during PPI therapy.44
The recurrence of GERD symptoms in Japanese CYP2C19 homozygous extensive PPI metabolizers was substantially greater (38.5%) than heterozygous extensive (10.9%) or poor (5.6%) metabolizers.45 In contrast to other PPIs, the metabolism of rabeprazole is less dependent on CYP2C19, as it is also metabolized by CYP3A4 and degraded by nonenzymatic pathways.46,47
The relevance of CYP2C19 and PPIs in clinical practice has achieved greater importance because PPIs can reduce the antiplatelet activity of clopidogrel (a drug used to avoid the development of thromboses in intracoronary stents). PPIs are used extensively, for conditions such as reflux esophagitis, in patients on long-term clopidogrel treatment. CYP2C19 inhibition prevents the generation of the active clopidogrel metabolite,48 which is required to selectively block ADP-dependent platelet activation and aggregation. The FDA and European Medicines Agency discourage PPI use in patients treated with clopidogrel, based on observational studies that have demonstrated an increased risk of cardiovascular death, hospital readmission for myocardial infarction or acute coronary syndrome and nonfatal stroke.49 However, these results were not observed in randomized controlled trials (RCTs).50,51 Moreover, the potential deleterious effect of coadministered PPI on outcomes with clopidogrel has also been questioned, because a study in which patients from two RCTs were genotyped showed that clopidogrel had a consistent effect (as compared with placebo), irrespective of CYP2C19 loss-of-function carrier status.52 Conversely, a gain-of-function genetic variation in CYP2C19 (mainly the CYP2C19*17 allele) led to increased risk of bleeding, which could be manifested in gastrointestinal hemorrhage.53
Although the controversy surrounding the use of clopidogrel in the field of cardiovascular medicine is not completely resolved,54 gastroenterologists should be aware of the recommendations from the regulatory agencies for patients taking clopidogrel. Gastroenterologists and cardiologists should consider prescribing alternative medications, such as rabeprazole (which has less dependence on CYP2C19) or an H2-receptor antagonist for reflux disease, and gastroenterologists should work with the patient’s cardiologist to provide a different platelet inhibitor, such as aspirin, or other ADP antagonists, such as prasugrel (the majority of which is activated by CYP3A4 and CYP2B6), and ticagrelor (the majority of which is biotransformed by CYP3A4 or CYP3A5).55
CYP3A4
CYP3A4 is the main CYP enzyme expressed in the liver, but it is also expressed in intestinal enterocytes. An estimated 60% of drugs are cleared by this CYP enzyme.2 In adults, the CYP3A4 and CYP3A5 isozymes are the only CYP3A subfamily members expressed in the liver and intestine. The majority of people express CYP3A4,2 and its main clinical importance is drug-induced inhibition that results in reduced metabolism of concomitant drugs. The relevance of CYP3A4 to gastroenterology was demonstrated by cardiac arrhythmias experienced by patients receiving the gastroprokinetic agent cisapride in combination with inhibitors of CYP3A4.56
Two genetic variants of CYP3A4 are commonly described: CYP3A4-V, located in the promoter region of the nifedipine-specific response element of the gene,57 and CYP3A4*1B (CYP3A4A>G 290 bp upstream of the transcription start site). The CYP3A4*1B variant is characterized by increased levels of CYP3A4 transcription and high levels of drug metabolism;58 CYP3A4*1B carriers therefore need higher doses of tacrolimus when compared with noncarriers.59 Ciclosporin clearance was found to be higher in CYP3A4*1B carriers, but the genetic effect was modest (9%);60 thus, genotyping is unlikely to be helpful in predicting immunosuppressive dosing, as other unknown factors seem to contribute more substantially to oral bioavailability.
Grapefruit juice acts as an inhibitor of drug metabolism, especially for CYP3A4 substrates in the small intestine. A single glass of grapefruit juice per day might increase bioavailability, potentiate action, and cause adverse effects of drugs, especially for those with a low therapeutic index.61,62 Grapefruit juice constituents can also stimulate or inhibit P-glycoprotein activity. Thus, functional interactions exist between CYP3A and P-glycoprotein in the intestinal mucosa.
CYP3A5
CYP3A5 expression is polymorphic, with substantial population differences. CYP3A5 is expressed by less than 10% of white populations, whereas it is expressed by the majority of people in other populations.2 For African-Americans CYP3A5 expression might be greater than that of CYP3A4,2 which reflects alterations in the frequency of the functional CYP3A5*1 allele. The substrate specificity of CYP3A5 is similar to that of CYP3A4.2 CYP3A5 polymorphism is largely unexplored in gastrointestinal clinical practice, although one investigation found no effect of CYP3A5 on the response of patients with corticosteroid-resistant ulcerative colitis to tacrolimus.15
Genotyping cytochrome P450
Genotyping of CYP is generally not applied in gastrointestinal clinical practice because of the lack of appreciation of the potential effect of variation in phase I drug metabolism among gastroenterologists. In addition, virtually no clinical trial or prospective study evidence has shown that genotyping predicts adverse effects or non-response when applied to the treatment of nonmalignant gastrointestinal diseases. Equivalent drugs are available if there is no clinical response (such as other analgesics to replace codeine for pain relief, and rabeprazole as a PPI to be used with clopidogrel in patients with coronary stents who experience reflux esophagitis). Finally, in the case of functional gastrointestinal diseases, such as IBS, the consequence of nonresponse is rarely serious and, therefore, the therapeutic effect of genotyping CYP in patients prescribed psychoactive medications would be minimal.
Phase II metabolism
Among phase II metabolic reactions, which involve conjugation with endogenous substituents, the one relevant to nonmalignant gastrointestinal conditions is thiopurine S-methyltransferase (TPMT). During TPMT metabolism, 6-mercaptopurine (6-MP) is converted to 6-thioinosine monophosphate (6-TIMP) by hypoxanthineguanine phosphoribosyltransferase (HGPRT), and 6-TIMP is further metabolized to 6-thioguanine nucleotides (6-TGNs) (Figure 2). Alternative pathways of 6-MP inactivation are catalyzed by xanthine oxidase (to thiouric acid), and by TPMT (to 6-methyl mercaptopurine; 6-MMP). The relative activities of TPMT, xanthine oxidase and HGPRT determine the amount of active 6-TGN relative to other 6-MP metabolites.63 Dose escalation of 6-MP might result in conversion of 6-TIMP to 6-MMP ribonucleotides (6-MMPR) by TPMT;64 a high 6-MMPR to 6-TGN ratio is associated with hepatotoxicity.
Figure 2.
Overview of thiopurine metabolism. Azathioprine is nonenzymatically converted to 6-MP. Xanthine oxidase catalyzes hepatic first-pass oxidation of 6-MP to 6-thiouric acid (inactive). 6-MP then moves into systemic circulation. 6-TGNs are active metabolites of 6-MP that do not undergo oxidation by xanthine oxidase and are produced by HGPRT. By contrast, TPMT inactivates 6-MP, and produces therapeutically inactive 6-MMP. TPMT competes with HGPRT for 6-MP substrate. The 6-TGNs produced have therapeutic and potentially toxic hematologic effects by integrating into DNA (and interrupting replication), and by inhibiting de novo purine synthesis. 6-MMP is further metabolized to the potentially hepatotoxic 6--MMP ribonucleotides by guanosine 5′-monophosphate synthase. Abbreviations: 6-MMP, 6-methylmercaptopurine; 6-MP, 6-mercaptopurine; 6-TGN, 6-thioguanine nucleotides; HGPRT, hypoxanthine guanine phosphoribosyltransferase; TPMT, thiopurine methyl transferase. Permission obtained from Elsevier Inc. © Givens, R. C. & Watkins, P. B. Gastroenterology 125, 240–248 (2003).
Xanthine oxidase
The gene encoding xanthine oxidase (also called xanthine dehydrogenase) was originally considered not to be polymorphic,65 but it is now appreciated that hepatic xanthine oxidase activity is reduced in 20% of white people (affecting females more than males), 11% of Japanese and 4% of Spanish people.66–68 Several studies have identified genetic polymorphisms in the gene encoding xanthine oxidase69 and its promoter region that might determine inter-individual differences in expression of this gene.70 Xanthine oxidase levels are also reduced by allopurinol and methotrexate, which might increase the bioavailability of 6-MP and so potentially increase the efficacy (and risk of toxicity) of 6-MP.
TPMT
TPMT is polymorphic and is the major heritable factor causing variation in response to azathioprine, which is nonenzymatically converted to 6-MP, and 6-MP itself.2 TPMT deficiency explains myelotoxicity associated with thiopurines; however, it is not responsible for other adverse effects of these medications, including pancreatitis and hepatotoxicity.
The variant TPMT alleles (TPMT*2, TPMT*3A, TPMT*3B, TPMT*3C, TPMT*3D, TPMT*4, TPMT*5, TPMT*6, TPMT*7, and TPMT*10 alleles) result from SNPs.71 These variant alleles are associated with lower TPMT enzyme activity, preferential metabolism of 6-MP to 6-TGN by HGPRT and a higher potential for myelotoxicity than nonvariant alleles.2 The most frequently encountered variant alleles are TPMT*2, TPMT*3A, TPMT*3B and TPMT*3C. TPMT genotype and enzyme activity are well correlated. Indeed, deficiency can normally be explained by two variant alleles in the genotype; the presence of TPMT*2, TPMT*3A, or TPMT*3C is highly sensitive (95%) and specific (100%) for intermediate activity.72 Among white and African-American populations, 89% of people have high TPMT activity (>10 U/ml red blood cells), 11% have intermediate activity (5–10 U/ml), and 0.3% have low activity (<5 U/ml).73 Among Chinese populations, ~3% of people have low or intermediate activity.74 Lower TPMT enzyme activity was found in fewer Afro-Caribbeans than in white people and people from South Asia.75 Other populations also seem to have a small proportion of people with variants predictive of low TPMT enzyme activity including, for example, 2.6% among Southern Iranians76 and Turkish patients,77 <1% among Jordanians,78 1.6% in Han Chinese79 (with no significant differences among Han, Jing, Yao and Uygur Chinese80) and 6.8% among Mexicans.81 By contrast, a relatively high prevalence of variants predictive of intermediate TPMT activities were identified in specific ethnic groups in Israel, specifically, the Druze and Ethiopian Jews.82
As the phenotype (as determined by an assay of TPMT activity) and genotype are well correlated, no consensus has been reached with regards to the utility of determining TPMT genotype in patients with IBD on a routine basis. One decision analysis suggested that pretreatment testing for TPMT activity is cost effective.83 By contrast, in another study, the majority of individuals (73%) with Crohn’s disease who developed bone marrow suppression were not carriers of variant alleles.84 Therefore, TPMT genotyping or phenotyping might not replace the need for blood monitoring for myelosuppression in these patients. Monitoring white blood cell counts regularly (monthly for the first 3 months and then quarterly) might be the most cost-effective strategy. Nevertheless, the FDA and American Gastroenterological Association medical position statement recommend TPMT genotype or phenotype testing prior to the initiation of therapy with azathioprine or 6-MP in patients with IBD, as a Grade B recommendation.85
TPMT and TGN levels in blood might help to predict the responsiveness of patients to treatment. The odds of achieving complete remission with azathioprine are ~5 times lower if TPMT levels are >14 U/ml red blood cells when compared with TPMT levels of 10–13.9 U/ml.86 High 6-TGN levels are associated with an improved response87,88 and reduced disease activity89 among pediatric and adult patients with IBD, including those with colonic and fistulizing Crohn’s disease;75 nonresponders tend to have low 6-TGN levels.90
In a prospective study of 207 patients with IBD who were given 2 mg/kg of azathioprine, those whose mean 6-TGN level was >100 pmol per 8 × 108 red blood cells over a period of 6 months were significantly more likely to respond to treatment.91 In addition, those patients whose baseline TPMT activity was <35 pmol/h/mg/Hb (compared with >35 pmol/h/mg/Hb) were also more likely to respond to treatment with azathioprine (81% and 43%, respectively).
Some centers monitor the serum levels of 6-MMPR in addition to 6-TGN, and use the ratio between 6-TGN and 6-MMPR to predict response. For example, in a study of 51 patients with IBD, 37 patients developed suboptimal 6-TGN and preferential 6-MMPR levels following dose escalation with azathioprine or 6-MP.64
TPMT genotyping
Genotyping of TPMT is generally not applied in clinical practice, as it does not offer a clear advantage over either phenotyping (specifically measurement of 6-TGN and 6-MMPR levels) to predict patient outcome or simple blood counts to monitor for myelotoxicity.
Gastrointestinal disease
IBD
In 102 patients with IBD who were being treated with methotrexate, four polymorphisms in three genes were analyzed: these polymorphisms were SLC19A180G>A, GGH452G>T, MTHFR677C>T and MTHFR1298A>C.84 Patients homozygous for the MTHFR1298C alleles (but not SLC19A180G>A or GGH452G>T) were more likely to experience myelosuppression than those homozygous for MTHFR1298A alleles.84,92
Tumor necrosis factor (TNF) exerts its biological effect through binding two different cell-surface receptors: TNF receptor 1 (TNFR1) and TNF receptor 2 (TNFR2), which are encoded by TNFRSF1A and TNFRSF1B, respectively.93,94 Variants in the genes encoding TNF95 and the TNF receptors96 suggest that homozygosity for the polymorphism in exon 6 of TNFRSF1B (Arg196Arg) is associated with a poor response to infliximab. However, this finding was not confirmed in a second study.97 No clear effect of TNFRSF1A and TNFRSF1B polymorphisms (TNFRSF1A36A>G and TNFRSF1B587A>G) was observed in the response of patients with IBD to inflix-imab.63 Two further studies found that three SNPs in the NOD2 gene could not effectively predict the response of patients with IBD to infliximab.98,99
Multiple studies have investigated the effect of different genetic variants on the response of patients with Crohn’s disease to infliximab. Indeed, FCGR3A encodes the receptor for IgG, which is expressed on macrophages and natural killer cells, therefore regulating the binding of IgG to these cells, and so leads to cell-specific functions such as phagocytosis. In one study, patients with Crohn’s disease were treated with inflix-imab for 3 months; carriers of the FCGR3A4985G>T variant had a positive response in measurements of C-reactive protein (a biomarker of inflammation).100 In the ACCENT I trial,101 the reduction in Crohn’s disease activity index in patients with Crohn’s disease who carried the FCGR3A4985G>T variant was less convincing.
Another gene that has been investigated as a possible predictor of response to infliximab is the IBD5 gene, which is located on chromosome 5q31. The IBD5 homozygous mutant genotype was associated with a reduction in the Crohn’s disease activity index in patients with Crohn’s disease, and a similar trend was identified in patients with ulcerative colitis.102 Pharmacogenetic studies evaluating the response of patients with Crohn’s disease to adalimumab and etanercept have not been reported to date.
In a comprehensive summary of pharmacogenetics studies for all classes of drugs used in patients with IBD, Vermeire et al.103 noted few studies with consistent findings. Moreover, the authors stated that the observed associations require confirmation in further studies. As mentioned above, TPMT testing prior to starting treatment with thiopurines is the only genetic test approved for IBD in clinical practice, but the most common strategy employed is the measurement of 6-TGN levels, rather than TMPT genotyping.103
IBS
Serotonin
Serotonin (5-hydroxytryptamine; 5-HT) receptor sub-types, 5-HT1, 5-HT3, and 5-HT4 are located in the gut;104 alterations in 5-HT and its receptors affect gut function. 5-HT in synaptic spaces stimulates these receptors until it is actively cleared by a serotonin transporter protein (called SERT, encoded by SLC6A4) that is located on the ends of presynaptic neurons. SLC6A4 spans 31 kb and consists of 14 exons (Figure 3).105,106 The two main SLC6A4 allelic variants studied are the rs25531 SNP (A/G) and a 44 bp insertion or deletion polymorphism in the promoter region (5HTT-LPR; serotonin transporter protein linked polymorphic region). The insertion or deletion of repeated elements results in a long (L) or a short (S) allele. Compared with SLC6A4*L, SLC6A4*S results in lower transcriptional efficiency, decreased SERT expression and, therefore, decreased uptake of serotonin in a lymphoblast cell line.107 Mechanistically, the SLC6A4*SS homozygous genotype should result in high levels of serotonin in the synapse (owing to low uptake) with resulting diarrhea. Indeed, mice lacking SERT have accelerated colonic motility.108
Figure 3.

Structure of SLC6A4. The coding (pink) exons and noncoding and intronic areas (blue) of SLC6A4; note the 5HTT-LPR polymorphism is ~1.4 kb upstream and the intronic VNTR near exon 2. A polymorphism in intron 2 of SLC6A4 consists of a 17 bp VNTR, termed STin2 VNTR. Abbreviations: 5HTT-LPR, serotonin transporter protein linked polymorphic region; VNTR, variable number of tandem repeats. Permission obtained from Murphy, D. L., Lerner, A., Rudnick, G. & Lesch, K. P. Mol. Interv. 4, 109–123 (2004).
The association of SERT-P polymorphisms (5HTT-LPR or rs25531) with IBS or its subgroups is still controversial, although SLC6A4*S is associated with increased pain on rectal distension in patients with IBS.109 In addition, the decreased expression of SLC6A4 mRNA in the rectal mucosa of patients with IBS (diarrhea- predominant IBS [IBS-D] and constipation-predominant IBS [IBS-C] documented in one paper110 was not replicated in another report.111
Alosetron (a 5-HT3 receptor antagonist) retards colonic transit112 and is effective in treating IBS-D. Conversely, the 5-HT4 agonist, tegaserod, accelerates colonic transit113 and was used to treat chronic constipation and IBS-C, until its withdrawal from the market. Although genetic variants in serotonin receptors (including, 5-HT3E receptor and the related microRNA-510) have been reported in association with IBS-D,114 their relevance to pharmacogenetics has yet to be determined.
A pharmacogenetics study explored whether the 5HTT-LPR polymorphism predicts the response of patients with IBS-D to treatment with alosetron.115 In patients who have the SLC6A4*LL homozygous genotype, greater slowing of colonic transit was observed, compared with those who have the SLC6A4*SS genotype. Consistent with this finding, tegaserod was associated with a worse response (overall and bowel function) in SLC6A4*LL patients.116 These data are consistent with the hypothesis (Figure 4) that the SLC6A4*LL genotype results in transcription of normal SLC6A4 and clearance of 5-HT from the synaptic cleft; as less 5-HT is present in the synaptic cleft, less 5-HT needs to be inhibited by alosetron at the 5-HT3 receptors and less endogenous 5-HT is available to aid tegaserod in its attempt to stimulate the 5-HT4 receptors.
Figure 4.
Hypothetical explanations for the association of alosetron treatment with slow colonic transit in SLC6A4*LL carriers and diarrhea-predominant IBS, and the worse clinical response to tegaserod in patients who are SLC6A4*LL carriers with constipation-predominant IBS. The SLC6A4*LL homozygous carrier status is associated with optimal function of the reuptake transporter protein SERT. Therefore, less 5-HT remains in the synapse that needs to be inhibited by alosetron at the 5-HT3 receptor, and therefore the same dose of alosetron will be more effective at inhibiting the accelerated colonic transit in diarrhea-predominant IBS. Conversely, with less 5-HT at the synapse, the same dose of tegaserod will be less effective at stimulating the 5-HT4 receptors, resulting in lower impact of tegaserod on symptoms in constipation-predominant IBS. Abbreviations: 5-HT, 5-hydroxytryptamine; SERT, serotonin transporter protein.
Bile acids
Variation in the genes encoding klotho β and, perhaps, FGFR4 (KLB and FGFR4, respectively), both of which are involved in bile acid synthesis, is associated with accelerated colonic transit in patients with IBS-D (Figure 5).117 In addition, variation in the genes that control the synthesis of these two proteins influences the colonic transit response to chenodeoxycholic acid in patients with IBS-C118 and in patients with IBS-D who are treated with the bile acid sequestrant colesevelam hydrochloride.119
Figure 5.
Genetic variation in proteins involved in bile acid synthesis is associated with colonic transit in patients with IBS. Among the proteins involved in the feedback regulation of bile acid synthesis, genetic variation in KLB rs17618244 is associated with colonic transit at 24 h in patients with IBS. In addition, the diarrhea-predominant IBS subgroup exhibited the strongest association of KLB rs17618244 with faster colonic transit at 24 h.117 Klotho β is encoded by KLB and is one of the two proteins on the hepatocyte membrane which, together with FGFR4, mediate the intracellular signaling of the ileal hormone FGF19 to downregulate cytochrome P450 7A1 (CYP7A1) activity and thereby suppress bile acid synthesis. The KLB GG genotype leads to amino acid change Arg728Gln and results in increased degradation of klotho β and defective feedback regulation of bile acid synthesis by FGF19. The data are consistent with the hypothesis that the hepatocyte synthesizes and secretes more bile acid into the biliary and digestive tracts in patients with the KLB GG genotype and, hence, the associated acceleration of colonic transit due to the stimulation of colonic secretion and motility by the higher concentration of bile acid reaching the colon. Permission obtained from Elsevier Inc. © from Wong, B. S. et al. Gastroenterology 140, 1934–1942 (2011).
Motility disorders
Metoclopramide
The antiemetic and gastroprokinetic agent metoclopramide binds to dopamine D1, D2 and D3 receptors, is a substrate for CYP2D6, as well as a competitive inhibitor of the of the CYP2D6 isoform and is analogous to neuroleptic agents such as haloperidol and chlorpromazine.120 In one study, two patients genotyped as CYP2D6 poor metabolizers experienced acute dystonic reactions when receiving metoclopramide.121 Concomitant use of such antiemetic and gastroprokinetic agents might increase plasma concentrations of either drug, and so predispose patients to the development of tardive dyskinesia. In addition, the DRD3 Ser9Gly variant leads to a greater binding affinity of dopamine for D3 receptors than do non-variants.122 A meta-analysis demonstrated that, in non-Asians, tardive dyskinesia associated with antipsychotic medication is more likely to occur in patients who have the DRD3 Ser9Gly amino acid change than in patients who do not have this variant;123 however, an association between this SNP and metoclopramide has not yet been reported.
Domperidone
An unexpected association was found between the genetic variant rs3814589 in KCNH2 and an effective response of patients with symptoms of gastroparesis to the dopaminergic agent, domperidone.17 The mechanism of interaction between the variant voltage-gated inwardly rectifying potassium channel (which is altered as a result of the KCNH2 variation) and domperidone requires further elucidation. Such potassium channels might be relevant in the gut, through a potential effect on intestinal motility, or in the heart, where they might predispose individuals to cardiac arrhythmias.
Genotyping in motility disorders
Genotyping is generally not applied in clinical practice because of the lack of clinical trial evidence that it predicts adverse effects or nonresponse, except in the case of tegaserod for patients with IBS-C.124 Tegaserod, however, is no longer available in most countries, such as the USA125 and Canada, because of the report of adverse cardiovascular events, even though observational,126 case-control127 and mechanistic128 studies do not identify tegaserod as a risk factor for cardiovascular complications.
Recommendations
On the basis of the deliberations of two expert working groups in pharmacogenetics,129,130 an editorial131 was published that included a list of questions that should be considered to qualify a pharmacogenomic test for clinical practice. These considerations include: the relationship between the test result and response to drug therapy; validation of initial results; the frequency of the genomic variant in the patient population of interest; the availability of a clear course of action based on the test result; and the understanding of patient outcomes (both potential benefits and harms) that might result from modification of the drug therapy.
A summary of the discussed nonmalignant gastrointestinal conditions, drugs, genes, polymorphisms and their clinical effects is provided in Table 1. On the basis of these criteria and the responses to the questions posed in the algorithm of Gardiner and Begg9 (Box 2 and Box 3), pharmacogenetics testing is not routinely used in the management of nonmalignant gastrointestinal diseases. Such tests and (in the future) genome-wide association studies would probably require assessment of cost utility and efficacy to achieve the reimbursement being implemented in clinical management of nonmalignant gastrointestinal diseases, rather than only demonstrating noninferiority.132
Table 1.
Gastrointestinal conditions, drugs, genes and polymorphisms
| Condition | Drug | Protein (gene) | Alleles or polymorphisms | Clinical effects |
|---|---|---|---|---|
| IBD | Azathioprine, 6-MP | Thiopurine-S- methyltransferase (TPMT) | TPMT*2, TPMT*3A, TPMT*3B, TPMT*3C, TPMT*3D, TPMT*4, TPMT*5, TPMT*6, TPMT*7 and TPMT*10 | High, intermediate, low metabolizers predict drug dosing needs |
| Methotrexate | Methylenetetrahydrofolate reductase (MTHFR) | MTHFR1298A>C | MTHFR1298CC patients experience more adverse effects | |
| GERD H. pylori infection | PPIs | Cytochrome P450 2C19 (CYP2C19) | CYP2C19*2, CYP2C19*3, CYP2C19*4, CYP2C19*5 | Wild-type predicts slower healing of esophagitis and lower cure rates of H. pylori infection CYP2C19*5 result in decreased metabolism of drug |
| Diarrhea- predominant IBS | Alosetron | Serotonin transporter (SLC6A4) | 5HTT-LPR | Patients with diarrhea and SLC6A4*LL homozygotes may predict better response and slowing of colonic transit |
| Constipation-predominant IBS | Tegaserod | Serotonin transporter (SLC6A4) | 5HTT-LPR | Patients with diarrhea and SLC6A4*LL homozygotes may predict worse clinical response |
Abbreviations: 5HTT-LPR, serotonin transporter protein linked polymorphic region; 6-MP, 6-mercaptopurine. Permission obtained from Saito, Y. A. & Camilleri, M. Clinical application of pharmacogenetics in gastrointestinal diseases. Expert Opin. Pharmacother. 7, 1857–1869 (2006).
Conclusion
Although pharmacogenetics testing is not recommended for most nonmalignant gastrointestinal diseases, drug treatment of these illnesses could be enhanced and individualized by knowledge of the genetic factors that influence drug absorption, metabolism and the targets (such as proteins, receptors and signaling pathways) of therapy. On the basis of current information, physicians and patients require education on pharmacogenetics; in addition, the CYP genotypes (particularly, CYP2C19, CYP2C9, CYP2D6 and CYP3A4) should be incorporated into the electronic medical record of every patient to enhance the efficacy and individualization of treatment and to avoid adverse effects from drugs.
Key points.
Genetic variations can affect drug absorption, efflux, metabolism and the ability of drugs to interact with their target proteins
Drug interactions might result from concomitant use of medications that alter the function of cytochrome P450 enzymes
Activity of the platelet function inhibitor, clopidogrel, is affected by medications (including PPIs) that alter CYP2C19 function; the clinical impact of coadministration of clopidogrel and PPIs, however, is unclear
Thiopurine dosage in patients with IBD is typically monitored with blood counts and, if necessary, 6-thioguanine or other metabolite levels, rather than genotyping the thiopurine methyltransferase gene
Genotyping is generally not applied in clinical management of nonmalignant gastrointestinal diseases because of the lack of clinical trial evidence that it predicts adverse effects or nonresponse
In nonmalignant gastrointestintal diseases, pharmacogenetics might facilitate individualized medicine in the future
Review Criteria.
The literature search was based on PubMed searches from 1965 onwards, including the terms “diarrhea”, “constipation”, “irritable bowel syndrome”, “functionalgastrointestinal disorder”, “motility”, “metoclopramide”, “domperidone”, “tegaseord”, “alosetron”, “bile acid”, “inflammatory bowel disease”, “Crohn's disease”, “ulcerative colitis”, “thiopurines”, “thiopurine methyl transferase”, “TNF-α”, “infliximab”, “ethanercept”, “adalimumab”, “reflux esophagitis”, “clopidogrel”, “proton pump inhibitors”, “ethnicity”, “cytochrome P450” “treatment”, “codeine”, “opiate-induced constipation” and “opiate bowel dysfunction”. The search focused predominantly on full-text papers published in the English language. Abstracts were included when critically relevant and when not already available as full-text articles. The reference lists of published articles were reviewed to identify further references of potential interest.
Acknowledgments
M. Camilleri is supported in part by research grants from NIH (DK-067071, DK-092179, DK-079866). The nomenclature used throughout this Review follows the HUGO Gene Nomenclature Committee, which has assigned unique gene symbols and names to more than 32,000 human loci, of which over 19,000 are protein coding (http://www.genenames.org/).
Footnotes
Competing interests
The author declares no competing interests.
References
- 1.Camilleri M. Scintigraphic biomarkers for colonic dysmotility. Clin Pharmacol Ther. 2010;87:748–753. doi: 10.1038/clpt.2010.23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Givens RC, Watkins PB. Pharmacogenetics and clinical gastroenterology. Gastroenterology. 2003;125:240–248. doi: 10.1016/s0016-5085(03)00683-8. [DOI] [PubMed] [Google Scholar]
- 3.Wang L, McLeod HL, Weinshilboum RM. Genomics and drug response. N Engl J Med. 2011;364:1144–1153. doi: 10.1056/NEJMra1010600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Roden DM, et al. Pharmacogenomics: challenges and opportunities. Ann Intern Med. 2006;21:749–757. doi: 10.7326/0003-4819-145-10-200611210-00007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Evans WE, Relling MV. Pharmacogenomics: translating functional genomics into rational therapeutics. Science. 1999;286:487–491. doi: 10.1126/science.286.5439.487. [DOI] [PubMed] [Google Scholar]
- 6.Roden DM, George AL., Jr The genetic basis of variability in drug responses. Nat Rev Drug Disc. 2002;1:37–44. doi: 10.1038/nrd705. [DOI] [PubMed] [Google Scholar]
- 7.Evans WE, McLeod HL. Pharmacogenomics—drug disposition, drug targets, and side effects. N Engl J Med. 2003;348:538–549. doi: 10.1056/NEJMra020526. [DOI] [PubMed] [Google Scholar]
- 8.Naranjo CA, et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther. 1981;30:239–245. doi: 10.1038/clpt.1981.154. [DOI] [PubMed] [Google Scholar]
- 9.Gardiner SJ, Begg EJ. Pharmacogenetics, drug-metabolizing enzymes, and clinical practice. Pharmacol Rev. 2006;58:521–590. doi: 10.1124/pr.58.3.6. [DOI] [PubMed] [Google Scholar]
- 10.Holtzman CW, Wiggins BS, Spinler SA. Role of P-glycoprotein in statin drug interactions. Pharmacotherapy. 2006;26:1601–1607. doi: 10.1592/phco.26.11.1601. [DOI] [PubMed] [Google Scholar]
- 11.Farrell RJ, et al. High multidrug resistance (P-glycoprotein 170) expression in inflammatory bowel disease patients who fail medical therapy. Gastroenterology. 2000;118:279–288. doi: 10.1016/s0016-5085(00)70210-1. [DOI] [PubMed] [Google Scholar]
- 12.Hirano T, et al. MDR1 mRNA expressions in peripheral blood mononuclear cells of patients with ulcerative colitis in relation to glucocorticoid administration. J Clin Pharmacol. 2004;44:481–486. doi: 10.1177/0091270004264162. [DOI] [PubMed] [Google Scholar]
- 13.Prandota J. Advances of molecular clinical pharmacology in gastroenterology and hepatology. Am J Ther. 2010;17:e137–e162. doi: 10.1097/MJT.0b013e318195e34d. [DOI] [PubMed] [Google Scholar]
- 14.Mendoza JL, et al. MDR1 polymorphisms and response to azathioprine therapy in patients with Crohn’s disease. Inflamm Bowel Dis. 2007;13:585–590. doi: 10.1002/ibd.20044. [DOI] [PubMed] [Google Scholar]
- 15.Herrlinger KR, et al. ABCB1 single-nucleotide polymorphisms determine tacrolimus response in patients with ulcerative colitis. Clin Pharmacol Ther. 2011;89:422–428. doi: 10.1038/clpt.2010.348. [DOI] [PubMed] [Google Scholar]
- 16.Daniel F, et al. Multidrug resistance gene-1 polymorphisms and resistance to cyclosporine A in patients with steroid resistant ulcerative colitis. Inflamm Bowel Dis. 2007;13:19–23. doi: 10.1002/ibd.20046. [DOI] [PubMed] [Google Scholar]
- 17.Parkman HP, et al. Domperidone treatment for gastroparesis: demographic and pharmacogenetic characterization of clinical efficacy and side-effects. Dig Dis Sci. 2011;56:115–124. doi: 10.1007/s10620-010-1472-2. [DOI] [PubMed] [Google Scholar]
- 18.Gow JM, Hodges LM, Chinn LW, Kroetz DL. Substrate-dependent effects of human ABCB1 coding polymorphisms. J Pharmacol Exp Ther. 2008;325:435–442. doi: 10.1124/jpet.107.135194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Lewis DF. 57 varieties: the human cytochromes P450. Pharmacogenomics. 2004;5:305–318. doi: 10.1517/phgs.5.3.305.29827. [DOI] [PubMed] [Google Scholar]
- 20.Ingelman-Sundberg M. Human drug metabolising cytochrome P450 enzymes: properties and polymorphisms. Naunyn Schmiedebergs Arch Pharmacol. 2004;369:89–104. doi: 10.1007/s00210-003-0819-z. [DOI] [PubMed] [Google Scholar]
- 21.Sistonen J, et al. Pharmacogenetic variation at CYP2C9, CYP2C19, and CYP2D6 at global and microgeographic scales. Pharmacogenet Genomics. 2009;19:170–179. doi: 10.1097/FPC.0b013e32831ebb30. [DOI] [PubMed] [Google Scholar]
- 22.Aklillu E, Herrlin K, Gustafsson LL, Bertilsson L, Ingelman-Sundberg M. Evidence for environmental influence on CYP2D6-catalysed debrisoquine hydroxylation as demonstrated by phenotyping and genotyping of Ethiopians living in Ethiopia or in Sweden. Pharmacogenetics. 2002;12:375–383. doi: 10.1097/00008571-200207000-00005. [DOI] [PubMed] [Google Scholar]
- 23.Fuselli S, et al. Evolution of detoxifying systems: the role of environment and population history in shaping genetic diversity at human CYP2D6 locus. Pharmacogenet Genomics. 2010;20:485–499. doi: 10.1097/FPC.0b013e32833bba25. [DOI] [PubMed] [Google Scholar]
- 24.Xie HG, Kim RB, Wood AJJ, Stein CM. Molecular basis of ethnic differences in drug disposition and response. Annu Rev Pharmacol Toxicol. 2001;41:815–850. doi: 10.1146/annurev.pharmtox.41.1.815. [DOI] [PubMed] [Google Scholar]
- 25.Dalén P, Dahl ML, Bernal Ruiz ML, Nordin J, Bertilsson L. 10-Hydroxylation of nortriptyline in Caucasians with 0, 1, 2, 3, and 13 functional CYP2D6 genes. Clin Pharmacol Ther. 1998;63:444–452. doi: 10.1016/S0009-9236(98)90040-6. [DOI] [PubMed] [Google Scholar]
- 26.Aklillu E, et al. Frequent distribution of ultrarapid metabolizers of debrisoquine in an Ethiopian population carrying duplicated and multiduplicated functional CYP 2D6 alleles. J Pharmacol Exp Ther. 1996;278:441–446. [PubMed] [Google Scholar]
- 27.Ford AC, Talley NJ, Schoenfeld PS, Quigley EM, Moayyedi P. Efficacy of antidepressants and psychological therapies in irritable bowel syndrome: systematic review and meta-analysis. Gut. 2009;58:367–378. doi: 10.1136/gut.2008.163162. [DOI] [PubMed] [Google Scholar]
- 28.Zhang JP, Malhotra AK. Pharmacogenetics and antipsychotics: therapeutic efficacy and side effects prediction. Expert Opin Drug Metab Toxicol. 2011;7:9–37. doi: 10.1517/17425255.2011.532787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Caraco Y, Sheller J, Wood AJ. Pharmacogenetic determination of the effects of codeine and prediction of drug interactions. J Pharmacol Exp Ther. 1996;278:1165–1174. [PubMed] [Google Scholar]
- 30.Gasche Y, et al. Codeine intoxication associated with ultrarapid CYP2D6 metabolism. N Engl J Med. 2004;351:2827–2831. doi: 10.1056/NEJMoa041888. [DOI] [PubMed] [Google Scholar]
- 31.Koren G, Cairns J, Chitayak D, Gaedigk A, Leeder SJ. Pharmacogenetics of morphine poisoning in a breastfed neonate of a codeine-prescribed mother. Lancet. 2006;368:704. doi: 10.1016/S0140-6736(06)69255-6. [DOI] [PubMed] [Google Scholar]
- 32.Madadi P, et al. Safety of codeine during breastfeeding: fatal morphine poisoning in the breastfed neonate of a mother prescribed codeine. Can Fam Physician. 2007;53:33–35. [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 33.De Morais SM, et al. The major genetic defect responsible for the polymorphism of S-mephenytoin metabolism in humans. J Biol Chem. 1994;269:15419–15422. [PubMed] [Google Scholar]
- 34.De Morais SM, et al. Identification of a new genetic defect responsible for the polymorphism of (S)-mephenytoin metabolism in Japanese. Mol Pharmacol. 1994;46:594–598. [PubMed] [Google Scholar]
- 35.Ferguson RJ, et al. A new genetic defect in human CYP2C19: mutation of the initiation codon is responsible for poor metabolism of S. mephenytoin. J Pharmacol Exp Ther. 1998;284:356–361. [PubMed] [Google Scholar]
- 36.Ibeanu GC, et al. An additional defective allele, CYP2C19*5, contributes to the S-mephenytoin poor metabolizer phenotype in Caucasians. Pharmacogenetics. 1998;8:129–135. doi: 10.1097/00008571-199804000-00006. [DOI] [PubMed] [Google Scholar]
- 37.Xie HG, Kim RB, Wood AJJ, Stein CM. Molecular basis of ethnic differences in drug disposition and response. Annu Rev Pharmacol Toxicol. 2001;41:815–850. doi: 10.1146/annurev.pharmtox.41.1.815. [DOI] [PubMed] [Google Scholar]
- 38.Klotz U, Schwab M, Treiber G. CYP2C19 polymorphism and PPIs. Basic Clin Pharmacol Toxicol. 2004;95:2–8. doi: 10.1111/j.1600-0773.2004.pto950102.x. [DOI] [PubMed] [Google Scholar]
- 39.Furuta T, et al. Effect of cythochrome P4502C19 genotypic differences on cure rates for gastroesophageal reflux disease by lansoprazole. Clin Pharmacol Ther. 2002;72:453–460. doi: 10.1067/mcp.2002.127637. [DOI] [PubMed] [Google Scholar]
- 40.Kawamura M, et al. The effects of lansoprazole on erosive reflux oesophagitis are influenced by CYP2C19 polymorphism. Aliment Pharmacol Ther. 2003;17:965–973. doi: 10.1046/j.1365-2036.2003.01539.x. [DOI] [PubMed] [Google Scholar]
- 41.Chong E, Ensom MH. Pharmacogenetics of the PPIs: a systematic review. Pharmacotherapy. 2003;23:460–471. doi: 10.1592/phco.23.4.460.32128. [DOI] [PubMed] [Google Scholar]
- 42.Schwab M, Schaeffeler E, Klotz U, Treiber G. CYP2C19 polymorphism is a major predictor of treatment failure in white patients by use of lansoprazole-based quadruple therapy for eradication of Helicobacter pylori. Clin Pharmacol Ther. 2004;76:201–209. doi: 10.1016/j.clpt.2004.05.002. [DOI] [PubMed] [Google Scholar]
- 43.de Leon J, Susce MT, Murray-Carmichael E. The AmpliChip CYP450 genotyping test: Integrating a new clinical tool. Mol Diagn Ther. 2006;10:135–151. doi: 10.1007/BF03256453. [DOI] [PubMed] [Google Scholar]
- 44.Egan LJ, et al. CYP2C19 pharmacogenetics in the clinical use of proton-pump inhibitors for gastrooesophageal reflux disease: variant alleles predict gastric acid suppression, but not oesophageal acid exposure or reflux symptoms. Aliment Pharmacol Ther. 2003;17:1521–1528. doi: 10.1046/j.1365-2036.2003.01645.x. [DOI] [PubMed] [Google Scholar]
- 45.Saitoh T, et al. Influences of CYP2C19 polymorphism on recurrence of reflux esophagitis during PPI maintenance therapy. Hepatogastroenterology. 2009;56:703–706. [PubMed] [Google Scholar]
- 46.Kita T, et al. Different contribution of CYP2C19 in the in vitro metabolism of three PPIs. Biol Pharm Bull. 2003;26:386–390. doi: 10.1248/bpb.26.386. [DOI] [PubMed] [Google Scholar]
- 47.Ishizaki T, Horai Y. Review article: cytochrome P450 and the metabolism of PPIs—emphasis on rabeprazole. Aliment Pharmacol Ther. 1999;13 (Suppl 3):27–36. doi: 10.1046/j.1365-2036.1999.00022.x. [DOI] [PubMed] [Google Scholar]
- 48.Fernando H, Dart AM, Peter K, Shaw JA. Proton pump inhibitors, genetic polymorphisms and response to clopidogrel therapy. Thromb Haemost. 2011;105:933–944. doi: 10.1160/TH10-11-0715. [DOI] [PubMed] [Google Scholar]
- 49.Ellis KJ, Stouffer GA, McLeod HL, Lee CR. Clopidogrel pharmacogenomics and risk of inadequate platelet inhibition: US FDA recommendations. Pharmacogenomics. 2009;10:1799–1817. doi: 10.2217/pgs.09.143. [DOI] [PubMed] [Google Scholar]
- 50.Chen M, Wei JF, Xu YN, Liu XJ, Huang DJ. A meta-analysis of impact of PPIs on antiplatelet effect of clopidogrel. Cardiovasc Ther. doi: 10.1111/j.1755-5922.2011.00289.x. http://dx.doi.org/10.1111/j.1755-5922201100289.x. [DOI] [PubMed]
- 51.Hsiao FY, et al. Relationship between cardiovascular outcomes and PPI use in patients receiving dual antiplatelet therapy after acute coronary syndrome. Pharmacoepidemiol Drug Saf. 2011;20:1043–1049. doi: 10.1002/pds.2202. [DOI] [PubMed] [Google Scholar]
- 52.Paré G, et al. Effects of CYP2C19 genotype on outcomes of clopidogrel treatment. N Engl J Med. 2010;363:1704–1714. doi: 10.1056/NEJMoa1008410. [DOI] [PubMed] [Google Scholar]
- 53.Zabalza M, et al. Meta-analyses of the association between cytochrome CYP2C19 loss- and gain-of-function polymorphisms and cardiovascular outcomes in patients with coronary artery disease treated with clopidogrel. Heart. doi: 10.1136/hrt.2011.227652. http://dx.doi.org/10.1136/hrt.2011.227652. [DOI] [PubMed]
- 54.Ma TK, Lam YY, Tan VP, Yan BP. Variability in response to clopidogrel: how important are pharmacogenetics and drug interactions? Br J Clin Pharmacol. 2011;72:697–706. doi: 10.1111/j.1365-2125.2011.03949.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Giorgi MA, Cohen Arazi H, Gonzalez CD, Di Girolamo G. Beyond efficacy: pharmacokinetic differences between clopidogrel, prasugrel and ticagrelor. Expert Opin Pharmacother. 2011;12:1285–1295. doi: 10.1517/14656566.2011.550573. [DOI] [PubMed] [Google Scholar]
- 56.Michalets EL, Williams CR. Drug interactions with cisapride: clinical implications. Clin Pharmacokinet. 2000;39:49–75. doi: 10.2165/00003088-200039010-00004. [DOI] [PubMed] [Google Scholar]
- 57.Rebbeck TR, Jaffe JM, Walker AH, Wein AJ, Malkowicz SB. Modification of clinical presentation of prostate tumors by a novel genetic variant in CYP3A4. J Natl Cancer Inst. 1998;90:1225–1229. doi: 10.1093/jnci/90.16.1225. [DOI] [PubMed] [Google Scholar]
- 58.Amirimani B, et al. Increased transcriptional activity of the CYP3A4*1B promoter variant. Environ Mol Mutagen. 2003;42:299–305. doi: 10.1002/em.10199. [DOI] [PubMed] [Google Scholar]
- 59.Hesselink DA, et al. Genetic polymorphisms of the CYP3A4, CYP3A5, and MDR-1 genes and pharmacokinetics of the calcineurin inhibitors cyclosporine and tacrolimus. Clin Pharmacol Ther. 2003;74:245–254. doi: 10.1016/S0009-9236(03)00168-1. [DOI] [PubMed] [Google Scholar]
- 60.Hesselink DA, et al. Population pharmacokinetics of cyclosporine in kidney and heart transplant recipients and the influence of ethnicity and genetic polymorphisms in the MDR-1, CYP3A4, and CYP3A5 genes. Clin Pharmacol Ther. 2004;76:545–556. doi: 10.1016/j.clpt.2004.08.022. [DOI] [PubMed] [Google Scholar]
- 61.Kane GC, Lipsky JJ. Drug-grapefruit juice interactions. Mayo Clin Proc. 2000;75:933–942. doi: 10.4065/75.9.933. [DOI] [PubMed] [Google Scholar]
- 62.Kiani J, Imam SZ. Medicinal importance of grapefruit juice and its interaction with various drugs. Nutr J. 2007;6:33. doi: 10.1186/1475-2891-6-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Pierik M, et al. Tumour necrosis factor-α receptor 1 and 2 polymorphisms in inflammatory bowel disease and their association with response to infliximab. Aliment Pharmacol Ther. 2004;20:303–310. doi: 10.1111/j.1365-2036.2004.01946.x. [DOI] [PubMed] [Google Scholar]
- 64.Dubinsky MC, et al. 6-MP metabolite profiles provide a biochemical explanation for 6-MP resistance in patients with inflammatory bowel disease. Gastroenterology. 2002;122:904–915. doi: 10.1053/gast.2002.32420. [DOI] [PubMed] [Google Scholar]
- 65.Grant DM, Tang BK, Kalow W. Variability in caffeine metabolism. Clin Pharmacol Ther. 1983;33:591–602. doi: 10.1038/clpt.1983.80. [DOI] [PubMed] [Google Scholar]
- 66.Guerciolini R, Szumlanski C, Weinshilboum RM. Human liver xanthine oxidase: nature and extent of individual variation. Clin Pharmacol Ther. 1991;50:663–672. doi: 10.1038/clpt.1991.205. [DOI] [PubMed] [Google Scholar]
- 67.Saruwatari J, et al. A population phenotyping study of three drug-metabolizing enzymes in Kyushu, Japan, with use of the caffeine test. Clin Pharmacol Ther. 2002;72:200–208. doi: 10.1067/mcp.2002.126173. [DOI] [PubMed] [Google Scholar]
- 68.Carrillo JA, Benitez J. Caffeine metabolism in a healthy Spanish population: N-acetylator phenotype and oxidation pathways. Clin Pharmacol Ther. 1994;55:293–304. doi: 10.1038/clpt.1994.30. [DOI] [PubMed] [Google Scholar]
- 69.Kudo M, et al. Functional characterization of human xanthine oxidase allelic variants. Pharmacogenet Genomics. 2008;18:243–251. doi: 10.1097/FPC.0b013e3282f55e2e. [DOI] [PubMed] [Google Scholar]
- 70.Kudo M, Sasaki T, Ishikawa M, Hirasawa N, Hiratsuka M. Functional characterization of genetic polymorphisms identified in the promoter region of the xanthine oxidase gene. Drug Metab Pharmacokinet. 2010;25:599–604. doi: 10.2133/dmpk.dmpk-10-nt-054. [DOI] [PubMed] [Google Scholar]
- 71.Weinshilboum RM. Thiopurine pharmacogenetics: clinical and molecular studies of thiopurine methyltransferase. Drug Metab Dispos. 2001;29:601–605. [PubMed] [Google Scholar]
- 72.Yates CR, et al. Molecular diagnosis of thiopurine S-methyltransferase deficiency: genetic basis for azathioprine and mercaptopurine intolerance. Ann Intern Med. 1997;126:608–614. doi: 10.7326/0003-4819-126-8-199704150-00003. [DOI] [PubMed] [Google Scholar]
- 73.Weinshilboum RM, Sladek SL. Mercaptopurine pharmacogenetics: monogenic inheritance of erythrocyte thiopurine methyltransferase activity. Am J Hum Genet. 1980;32:651–662. [PMC free article] [PubMed] [Google Scholar]
- 74.Lee EJ, Kalow W. Thiopurine S-methyltransferase activity in a Chinese population. Clin Pharmacol Ther. 1993;54:28–33. doi: 10.1038/clpt.1993.105. [DOI] [PubMed] [Google Scholar]
- 75.Cooper SC, Ford LT, Berg JD, Lewis MJ. Ethnic variation of thiopurine S-methyltransferase activity: a large, prospective population study. Pharmacogenomics. 2008;9:303–309. doi: 10.2217/14622416.9.3.303. [DOI] [PubMed] [Google Scholar]
- 76.Moini M, et al. The frequency and distribution of thiopurine S-methyltransferase alleles in south Iranian population. Mol Biol Rep. doi: 10.1007/s11033-011-1248-6. http://dx.doi.org/10.1007/s11033-011-1248-6. [DOI] [PubMed]
- 77.Tumer TB, et al. The low frequency of defective TPMT alleles in Turkish population: a study on pediatric patients with acute lymphoblastic leukemia. Am J Hematol. 2007;82:906–910. doi: 10.1002/ajh.20947. [DOI] [PubMed] [Google Scholar]
- 78.Hakooz N, et al. Genetic analysis of thiopurine methyltransferase polymorphism in the Jordanian population. Eur J Clin Pharmacol. 2010;66:999–1003. doi: 10.1007/s00228-010-0826-1. [DOI] [PubMed] [Google Scholar]
- 79.Cao Q, Zhu Q, Shang Y, Gao M, Si J. Thiopurine methyltransferase gene polymorphisms in Chinese patients with inflammatory bowel disease. Digestion. 2009;79:58–63. doi: 10.1159/000205268. [DOI] [PubMed] [Google Scholar]
- 80.Zhang JP, Zhou SF, Chen X, Huang M. Determination of intra-ethnic differences in the polymorphisms of thiopurine S-methyltransferase in Chinese. Clin Chim Acta. 2006;365:337–341. doi: 10.1016/j.cca.2005.09.005. [DOI] [PubMed] [Google Scholar]
- 81.González-Del Angel A, et al. Thiopurine S-methyltransferase (TPMT) genetic polymorphisms in Mexican newborns. J Clin Pharm Ther. 2009;34:703–708. doi: 10.1111/j.1365-2710.2009.01058.x. [DOI] [PubMed] [Google Scholar]
- 82.Ronen O, Cohen SB, Rund D. Evaluating frequencies of thiopurine S-methyl transferase (TPMT) variant alleles in Israeli ethnic subpopulations using DNA analysis. Isr Med Assoc J. 2010;12:721–725. [PubMed] [Google Scholar]
- 83.Winter J, et al. Cost-effectiveness of thiopurine methyltransferase genotype screening in patients about to commence azathioprine therapy for treatment of inflammatory bowel disease. Aliment Pharmacol Ther. 2004;20:593–599. doi: 10.1111/j.1365-2036.2004.02124.x. [DOI] [PubMed] [Google Scholar]
- 84.Colombel JF, et al. Genotypic analysis of thiopurine S-methyltransferase in patients with Crohn’s disease and severe myelosuppression during azathioprine therapy. Gastroenterology. 2000;118:1025–1030. doi: 10.1016/s0016-5085(00)70354-4. [DOI] [PubMed] [Google Scholar]
- 85.Lichtenstein GR, Abreu MT, Cohen R, Tremaine W. American Gastroenterological Association Institute Medical Position Statement on cortocosteroids, immunomodulators, and infliximab in inflammatory bowel disease. Gastroenterology. 2006;130:935–939. doi: 10.1053/j.gastro.2006.01.047. [DOI] [PubMed] [Google Scholar]
- 86.Ansari A, et al. Thiopurine methyltransferase activity and the use of azathioprine in inflammatory bowel disease. Aliment Pharmacol Ther. 2002;16:1743–1750. doi: 10.1046/j.1365-2036.2002.01353.x. [DOI] [PubMed] [Google Scholar]
- 87.Dubinsky MC, et al. Pharmacogenomics and metabolite measurement for 6-mercaptopurine therapy in inflammatory bowel disease. Gastroenterology. 2000;118:705–713. doi: 10.1016/s0016-5085(00)70140-5. [DOI] [PubMed] [Google Scholar]
- 88.Cuffari C, Hunt S, Bayless T. Utilisation of erythrocyte 6-thioguanine metabolite levels to optimise azathioprine therapy in patients with inflammatory bowel disease. Gut. 2001;48:642–646. doi: 10.1136/gut.48.5.642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Cuffari C, Theoret Y, Latour S, Seidman EG. 6-mercaptopurine metabolism in Crohn’s disease: correlation with efficacy and toxicity. Gut. 1996;39:401–406. doi: 10.1136/gut.39.3.401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Lamers CBHW, Griffioen G, van Hogezand RA, Veenendaal RA. Azathioprine: an update on clinical efficacy and safety in inflammatory bowel disease. Scand J Gastroenterol. 1999;230:111–115. doi: 10.1080/003655299750025633. [DOI] [PubMed] [Google Scholar]
- 91.Ansari A, et al. Prospective evaluation of the pharmacogenetics of azathioprine in the treatment of inflammatory bowel disease. Aliment Pharmacol Ther. 2008;28:973–983. doi: 10.1111/j.1365-2036.2008.03788.x. [DOI] [PubMed] [Google Scholar]
- 92.Urano W, et al. Polymorphisms in the methylenetetrahydrofolate reductase gene were associated with both the efficacy and the toxicity of methotrexate used for the treatment of rheumatoid arthritis, as evidenced by single locus and haplotype analyses. Pharmacogenetics. 2002;12:183–190. doi: 10.1097/00008571-200204000-00002. [DOI] [PubMed] [Google Scholar]
- 93.Guoqing C, Goeddel DV. TNF-R1 signaling: a beautiful pathway. Science. 2002;296:1634–1635. doi: 10.1126/science.1071924. [DOI] [PubMed] [Google Scholar]
- 94.MacEwan DJ. TNF receptor subtype signalling: differences and cellular consequences. Cell Signal. 2002;14:477–492. doi: 10.1016/s0898-6568(01)00262-5. [DOI] [PubMed] [Google Scholar]
- 95.Louis E, et al. A positive response to infliximab in Crohn disease: association with a higher systemic inflammation before treatment but not with -308 TNF gene polymorphism. Scand J Gastroenterol. 2002;37:818–824. [PubMed] [Google Scholar]
- 96.Shetty A, Forbes A. Pharmacogenomics of response to anti-tumor necrosis factor therapy in patients with Crohn’s disease. Am J Pharmacogenomics. 2002;2:215–221. doi: 10.2165/00129785-200202040-00001. [DOI] [PubMed] [Google Scholar]
- 97.Mascheretti S, et al. Pharmacogenetic investigation of the TNF/TNF-receptor system in patients with chronic active Crohn’s disease treated with infliximab. Pharmacogenomics J. 2002;2:127–136. doi: 10.1038/sj.tpj.6500091. [DOI] [PubMed] [Google Scholar]
- 98.Mascheretti S, et al. Response to infliximab treatment in Crohn’s disease is not associated with mutations in the CARD15 (NOD2) gene: an analysis in 534 patients from two multicenter, prospective GCP-level trials. Pharmacogenetics. 2002;12:509–515. doi: 10.1097/00008571-200210000-00002. [DOI] [PubMed] [Google Scholar]
- 99.Vermeire S, et al. NOD2/CARD15 does not influence response to infliximab in Crohn’s disease. Gastroenterology. 2002;123:106–111. doi: 10.1053/gast.2002.34172. [DOI] [PubMed] [Google Scholar]
- 100.Louis E, et al. Association between polymorphism in IgG Fc receptor IIIa coding gene and biological response to infliximab in Crohn’s disease. Aliment Pharmacol Ther. 2004;19:511–519. doi: 10.1111/j.1365-2036.2004.01871.x. [DOI] [PubMed] [Google Scholar]
- 101.Louis EJ, et al. Polymorphism in IgG Fc receptor gene FCGR3A and response to infliximab in Crohn’s disease: a subanalysis of the ACCENT I study. Pharmacogenet Genomics. 2006;16:911–914. doi: 10.1097/01.fpc.0000230421.12844.fd. [DOI] [PubMed] [Google Scholar]
- 102.Urcelay E, et al. IBD5 polymorphisms in inflammatory bowel disease: association with response to infliximab. World J Gastroenterol. 2005;11:1187–1192. doi: 10.3748/wjg.v11.i8.1187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Vermeire S, Van Assche G, Rutgeerts P. Role of genetics in prediction of disease course and response to therapy. World J Gastroenterol. 2010;16:2609–2615. doi: 10.3748/wjg.v16.i21.2609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Gershon MD. Review article: serotonin receptors and transporters—roles in normal and abnormal gastrointestinal motility. Aliment Pharmacol Ther. 2004;20 (Suppl 7):3–14. doi: 10.1111/j.1365-2036.2004.02180.x. [DOI] [PubMed] [Google Scholar]
- 105.Lesch KP, et al. Organization of the human serotonin transporter gene. J Neural Transm Gen Sect. 1994;95:157–162. doi: 10.1007/BF01276434. [DOI] [PubMed] [Google Scholar]
- 106.Murphy DL, Lerner A, Rudnick G, Lesch KP. Serotonin transporter: gene, genetic disorders, and pharmacogenetics. Mol Interv. 2004;4:109–123. doi: 10.1124/mi.4.2.8. [DOI] [PubMed] [Google Scholar]
- 107.Lesch KP, et al. Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region. Science. 1996;274:1527–1531. doi: 10.1126/science.274.5292.1527. [DOI] [PubMed] [Google Scholar]
- 108.Chen JJ, et al. Maintenance of serotonin in the intestinal mucosa and ganglia of mice that lack the high-affinity serotonin transporter: abnormal intestinal motility and the expression of cation transporters. J Neurosci. 2001;21:6348–6361. doi: 10.1523/JNEUROSCI.21-16-06348.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Camilleri M, et al. Candidate genes and sensory functions in health and irritable bowel syndrome. Am J Physiol. 2008;295:G219–G225. doi: 10.1152/ajpgi.90202.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Coates MD, et al. Molecular defects in mucosal serotonin content and decreased serotonin reuptake transporter in ulcerative colitis and irritable bowel syndrome. Gastroenterology. 2004;126:1657–1664. doi: 10.1053/j.gastro.2004.03.013. [DOI] [PubMed] [Google Scholar]
- 111.Camilleri M, et al. Alterations in expression of p11 and SERT in mucosal biopsy specimens of patients with irritable bowel syndrome. Gastroenterology. 2007;132:17–25. doi: 10.1053/j.gastro.2006.11.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Viramontes BE, et al. Gender-related differences in slowing colonic transit by a 5-HT3 antagonist in subjects with diarrhea-predominant irritable bowel syndrome. Am J Gastroenterol. 2001;96:2671–2676. doi: 10.1111/j.1572-0241.2001.04138.x. [DOI] [PubMed] [Google Scholar]
- 113.Prather CM, Camilleri M, Zinsmeister AR, McKinzie S, Thomforde GM. Tegaserod accelerates orocecal transit in patients with constipation-predominant irritable bowel syndrome. Gastroenterology. 2000;118:463–468. doi: 10.1016/s0016-5085(00)70251-4. [DOI] [PubMed] [Google Scholar]
- 114.Kapeller J, et al. First evidence for an association of a functional variant in the microRNA-510 target site of the serotonin receptor-type 3E gene with diarrhea predominant irritable bowel syndrome. Hum Mol Genet. 2008;17:2967–2977. doi: 10.1093/hmg/ddn195. [DOI] [PubMed] [Google Scholar]
- 115.Camilleri M, et al. Serotonin-transporter polymorphism pharmacogenetics in diarrhea-predominant irritable bowel syndrome. Gastroenterology. 2002;123:425–432. doi: 10.1053/gast.2002.34780. [DOI] [PubMed] [Google Scholar]
- 116.Li Y, et al. The association of serotonin transporter genetic polymorphisms and irritable bowel syndrome and its influence on tegaserod treatment in Chinese patients. Dig Dis Sci. 2007;52:2942–2949. doi: 10.1007/s10620-006-9679-y. [DOI] [PubMed] [Google Scholar]
- 117.Wong BS, et al. A klothoβ variant mediates protein stability and associates with colon transit in irritable bowel syndrome with diarrhea. Gastroenterology. 2011;140:1934–1942. doi: 10.1053/j.gastro.2011.02.063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Rao AS, et al. Chenodeoxycholate in females with irritable bowel syndrome-constipation: a pharmacodynamic and pharmacogenetic analysis. Gastroenterology. 2010;139:1549–1558. doi: 10.1053/j.gastro.2010.07.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Wong BS, et al. Pharmacogenetics of the effects of colesevelam on colonic transit in irritable bowel syndrome with diarrhea. Dig Dis Sci. doi: 10.1007/s10620-012-2035-5. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Shin JG, Soukhova N, Flockhart DA. Effect of antipsychotic drugs on human liver cytochrome P-450 (CYP) isoforms in vitro: preferential inhibition of CYP2D6. Drug Metab Dispos. 1999;27:1078–1084. [PubMed] [Google Scholar]
- 121.van der Padt A, van Schaik RH, Sonneveld P. Acute dystonic reaction to metoclopramide in patients carrying homozygous cytochrome P450 2D6 genetic polymorphisms. Neth J Med. 2006;64:160–162. [PubMed] [Google Scholar]
- 122.Lundstrom K, Turpin MP. Proposed schizophrenia-related gene polymorphism: expression of the Ser9Gly mutant human dopamine D3 receptor with the Semliki Forest Virus System. Biochem Biophys Res Commun. 1996;225:1068–1072. doi: 10.1006/bbrc.1996.1296. [DOI] [PubMed] [Google Scholar]
- 123.Bakker PR, Van Harten PN, Van Os J. Antipsychotic-induced tardive dyskinesia and the Ser9Gly polymorphism in the DRD3 gene: a meta analysis. Schizophr Res. 2006;83:185–192. doi: 10.1016/j.schres.2006.01.010. [DOI] [PubMed] [Google Scholar]
- 124.Li YY, et al. Serotonin transporter gene polymorphisms in irritable bowel syndrome and their impact on tegaserod treatment. Zhonghua Nei Ke Za Zhi. 2006;45:552–555. [PubMed] [Google Scholar]
- 125.FDA. Announces Discontinued Marketing of GI Drug, Zelnorm, for Safety Reasons [online] 2011 http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/2007/ucm108879.htm.
- 126.Loughlin J, et al. Tegaserod and the risk of cardiovascular ischemic events: an observational cohort study. J Cardiovasc Pharmacol Ther. 2010;15:151–157. doi: 10.1177/1074248409360357. [DOI] [PubMed] [Google Scholar]
- 127.Anderson JL, et al. Lack of association of tegaserod with adverse cardiovascular outcomes in a matched case-control study. J Cardiovasc Pharmacol Ther. 2009;14:170–175. doi: 10.1177/1074248409340158. [DOI] [PubMed] [Google Scholar]
- 128.Higgins DL, et al. The inability of tegaserod to affect platelet aggregation and coronary artery tone at supratherapeutic concentrations. Naunyn Schmiedebergs Arch Pharmacol. doi: 10.1007/s00210-011-0687-x. http://dx.doi.org/10.1007/s00210-011-0687-x. [DOI] [PubMed]
- 129.Relling MV, Klein TE. CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network. Clin Pharmacol Ther. 2011;89:464–467. doi: 10.1038/clpt.2010.279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Teutsch SM, et al. The evaluation of genomic applications in practice and prevention (EGAPP) initiative: methods of the EGAPP Working Group. Genet Med. 2009;11:3–14. doi: 10.1097/GIM.0b013e318184137c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Beitelshees AL, Veenstra DL. Evolving research and stakeholder perspectives on pharmacogenomics. JAMA. 2011;306:1252–1253. doi: 10.1001/jama.2011.1343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Altman RB. Pharmacogenomics: “noninferiority” is sufficient for initial implementation. Clin Pharmacol Ther. 2011;89:348–350. doi: 10.1038/clpt.2010.310. [DOI] [PubMed] [Google Scholar]




