ArticlePharmacogenomics and personalized medicine2012
Pharmacogenomic considerations in opioid analgesia.
Article in Pharmacogenomics and personalized medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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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.
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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.
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Who cites it
14 citing papers in PubMed, 57 citations in OpenAlex.
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- Rapid Methadone Metabolism in Opioid Use Disorder: A Case Report of Clinical Challenges and Individualized Treatment Approaches.Reports (MDPI) · 2025Article
- Genome-Wide Association Study Identifies Genetic Polymorphisms Associated with Estimated Minimum Effective Concentration of Fentanyl in Patients Undergoing Laparoscopic-Assisted Colectomy.International journal of molecular sciences · 2023Article
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- Associations between thePharmaceutics · 2022Article
- The Role of Pharmacogenomics in Postoperative Pain Management.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Impact of Pharmacogenomic Information on Values of Care and Quality of Life Associated with Codeine and Tramadol-Related Adverse Drug Events.Mayo Clinic proceedings. Innovations, quality & outcomes · 2021Article
- Molecular Basis of Cancer Pain Management: An Updated Review.Medicina (Kaunas, Lithuania) · 2019Review
- Physician's role in prescribing opioids in developing countries.BMJ case reports · 2019Article
- Update on the pharmacogenomics of pain management.Pharmacogenomics and personalized medicine · 2019Review
- The Role of Genetic Polymorphisms in Chronic Pain Patients.International journal of molecular sciences · 2018Review
- A pharmacogenetics approach to pain management.Neuropsychopharmacology reports · 2018Review
- Preclinical and Clinical Pharmacology of Hydrocodone for Chronic Pain: A Mini Review.Frontiers in pharmacology · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Translating pharmacogenetics to clinical practice has been particularly challenging in the context of pain, due to the complexity of this multifaceted phenotype and the overall subjective nature of pain perception and response to analgesia. Overall, numerous genes involved with the pharmacokinetics and dynamics of opioids response are candidate genes in the context of opioid analgesia. The clinical relevance of CYP2D6 genotyping to predict analgesic outcomes is still relatively unknown; the two extremes in CYP2D6 genotype (ultrarapid and poor metabolism) seem to predict pain response and/or adverse effects. Overall, the level of evidence linking genetic variability (CYP2D6 and CYP3A4) to oxycodone response and phenotype (altered biotransformation of oxycodone into oxymorphone and overall clearance of oxycodone and oxymorphone) is strong; however, there has been no randomized clinical trial on the benefits of genetic testing prior to oxycodone therapy. On the other hand, predicting the analgesic response to morphine based on pharmacogenetic testing is more complex; though there was hope that simple genetic testing would allow tailoring morphine doses to provide optimal analgesia, this is unlikely to occur. A variety of polymorphisms clearly influence pain perception and behavior in response to pain. However, the response to analgesics also differs depending on the pain modality and the potential for repeated noxious stimuli, the opioid prescribed, and even its route of administration.
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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.