Evidence map›Paper›PMID 19817501›Full record

ReviewClinical pharmacokinetics2009

Polymorphism of human cytochrome P450 2D6 and its clinical significance: Part I.

Shu-Feng Zhou

2 registry-linked trialsAbstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 228 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
228citing papers in PubMed, 5 pooled it
56.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02624167 phase2completednot on this mapstarted 2015, after this paper: background citation

A Phase IIA, Prospective, Randomized, Double-blind, Multiple-dose Study of NW-3509A in Chronic Schizoprhenia Patients Not Responding to Their Current Anti-psychotic Medication

TypeinterventionalSponsorNewron Pharmaceuticals SPARan2015 to 2017Enrolled90ConditionsChronic SchizophreniaArmsNW-3509A, Placebo
NCT03504631 unknown statusnot on this mapstarted 2017, after this paper: background citation

Genotyping and Phenotyping of CYP2D6 as Predictor of Z-endoxifen Plasma Levels in Breast Cancer Patients on Tamoxifen Treatment

TypeobservationalSponsorTrisakti UniversityRan2017 to 2018Enrolled117ConditionsBreast Cancer FemaleArmsNo intervention
3 · Its place in the literature

Who cites it

228 citing papers in PubMed, 5 syntheses or guidelines pooled it, 754 citations in OpenAlex.

  1. Pooled it
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  4. The Pharmacogenetics of Tramadol.Clinical pharmacokinetics · 2015
    Pooled it
  5. Pooled it
  6. Lipid Metabolism Modulation by a Flavonoid-StandardizedJournal of experimental pharmacology · 2026
    Trial
  7. Trial
  8. Antimicrobial agents and chemotherapy · 2019
    Trial
  9. CYP2D6 Genotype Phenotype Discordance Due to Drug-Drug Interaction.Clinical pharmacology and therapeutics · 2018
    Trial
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  12. Trial
  13. Trial
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  17. Review
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  19. Article
  20. Toxicology reports · 2026
    Article

168 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Shu-Feng ZhouDiscipline of Chinese Medicine, School of Health Sciences, RMIT University, Victoria, Australia. shufeng.zhou@rmit.edu.au
RMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytochrome P450 (CYP) 2D6 is one of the most investigated CYPs in relation to genetic polymorphism, but accounts for only a small percentage of all hepatic CYPs (approximately 2-4%). There is a large interindividual variation in the enzyme activity of CYP2D6. The enzyme is largely non-inducible and metabolizes approximately 25% of current drugs. Typical substrates for CYP2D6 are largely lipophilic bases and include some antidepressants, antipsychotics, antiarrhythmics, antiemetics, beta-adrenoceptor antagonists (beta-blockers) and opioids. The CYP2D6 activity ranges considerably within a population and includes ultrarapid metabolizers (UMs), extensive metabolizers (EMs), intermediate metabolizers (IMs) and poor metabolizers (PMs). There is a considerable variability in the CYP2D6 allele distribution among different ethnic groups, resulting in variable percentages of PMs, IMs, EMs and UMs in a given population. To date, 74 allelic variants and a series of subvariants of the CYP2D6 gene have been reported and the number of alleles is still growing. Among these are fully functional alleles, alleles with reduced function and null (non-functional) alleles, which convey a wide range of enzyme activity, from no activity to ultrarapid metabolism of substrates. As a consequence, drug adverse effects or lack of drug effect may occur if standard doses are applied. The alleles *10, *17, *36 and *41 give rise to substrate-dependent decreased activity. Null alleles of CYP2D6 do not encode a functional protein and there is no detectable residual enzymatic activity. It is clear that alleles *3, *4, *5, *6, *7, *8, *11, *12, *13, *14, *15, *16, *18, *19, *20, *21, *38, *40, *42, *44, *56 and *62 have no enzyme activity. They are responsible for the PM phenotype when present in homozygous or compound heterozygous constellations. These alleles are of clinical significance as they often cause altered drug clearance and drug response. Among the most important variants are CYP2D6*2, *3, *4, *5, *10, *17 and *41. On the other hand, the CYP2D6 gene is subject to copy number variations that are often associated with the UM phenotype. Marked decreases in drug concentrations have been observed in UMs with tramadol, venlafaxine, morphine, mirtazapine and metoprolol. The functional impact of CYP2D6 alleles may be substrate-dependent. For example, CYP2D6*17 is generally considered as an allele with reduced function, but it displays remarkable variability in its activity towards substrates such as dextromethorphan, risperidone, codeine and haloperidol. The clinical consequence of the CYP2D6 polymorphism can be either occurrence of adverse drug reactions or altered drug response. Drugs that are most affected by CYP2D6 polymorphisms are commonly those in which CYP2D6 represents a substantial metabolic pathway either in the activation to form active metabolites or clearance of the agent. For example, encainide metabolites are more potent than the parent drug and thus QRS prolongation is more apparent in EMs than in PMs. In contrast, propafenone is a more potent beta-blocker than its metabolites and the beta-blocking activity during propafenone therapy is more prominent in PMs than EMs, as the parent drug accumulates in PMs. Since flecainide is mainly eliminated through renal excretion, and both R- and S-flecainide possess equivalent potency for sodium channel inhibition, the CYP2D6 phenotype has a minor impact on the response to flecainide. Since the contribution of CYP2D6 is greater for metoprolol than for carvedilol, propranolol and timolol, a stronger gene-dose effect is seen with this beta-blocker, while such an effect is lesser or marginal in other beta-blockers. Concordant genotype-phenotype correlation provides a basis for predicting the phenotype based on genetic testing, which has the potential to achieve optimal pharmacotherapy. However, genotype testing for CYP2D6 is not routinely performed in clinical practice and there is uncertainty regarding genotype-phenotype, gene-concentration and gene-dose relationships. Further prospective studies on the clinical impact of CYP2D6-dependent metabolism of drugs are warranted in large cohorts of subjects.

Indexed as

Polymorphism, GeneticAdrenergic beta-AntagonistsAllelesAngina PectorisAnimalsAnti-Arrhythmia AgentsBiotransformationChromosomes, Human, Pair 22Cytochrome P-450 CYP2D6FemaleHumansMalePharmacogeneticsSubstrate SpecificityAdrenergic beta-AntagonistsAnti-Arrhythmia AgentsCytochrome P-450 CYP2D6

Identifiers

PMID19817501
OpenAlexW1984131408

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.