Trial reportPain2012
Pain sensitivity and opioid analgesia: a pharmacogenomic twin study.
Trial report in Pain, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04031716 (Genetic, Epigenetic, Psychosocial, and Biological Determinants of Post-surgical Pain After Pectus or Spine Surgery), which is not on this map. Cited by 69 papers, 1 of them a synthesis that pooled 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.
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.
Genetic, Epigenetic, Psychosocial, and Biological Determinants of Post-surgical Pain After Pectus or Spine Surgery
Who cites it
69 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review and Meta-Analysis of Genetic Risk of Developing Chronic Postsurgical Pain.The journal of painPooled it
- OPRM1, OPRK1, and COMT genetic polymorphisms associated with opioid effects on experimental pain: a randomized, double-blind, placebo-controlled study.The pharmacogenomics journal · 2020Trial
- Novel associations between FAAH genetic variants and postoperative central opioid-related adverse effects.The pharmacogenomics journal · 2015Trial
- The Pharmacogenomics of Opioid Response in Cancer Pain: From Receptor Polymorphisms to Tumour-Mediated Interference-A Narrative-Critical Review.International journal of molecular sciences · 2026Review
- Evaluating the Use of Tumor Bank DNA to Validate Genetic Factors Impacting Opioid Response in Patients with Advanced Cancer.Current oncology (Toronto, Ont.) · 2026Article
- Opioid Regulation of Social Homeostasis: Connecting Loneliness to Addiction.Biological psychiatry · 2025Review
- Article
- A genome-wide association study of European advanced cancer patients treated with opioids identifies regulatory variants on chromosome 20 associated with pain intensity.European journal of pain (London, England) · 2025Article
- Article
- Personalized anesthesia and precision medicine: a comprehensive review of genetic factors, artificial intelligence, and patient-specific factors.Frontiers in medicine · 2024Review
- Genome-wide association study on pharmacological outcomes of musculoskeletal pain in UK Biobank.The pharmacogenomics journal · 2023Article
- Observational
- 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
- Bibliometric Analysis of Functional Magnetic Resonance Imaging Studies on Manual Therapy Analgesia from 2002-2022.Journal of pain research · 2023Review
- Article
- An electroencephalogram biomarker of fentanyl drug effects.PNAS nexus · 2022Article
- Associations between thePharmaceutics · 2022Article
- Genetic and epigenetic mechanisms influencing acute to chronic postsurgical pain transitions in pediatrics: Preclinical to clinical evidence.Canadian journal of pain = Revue canadienne de la douleur · 2022Review
- Brain Mechanism of Acupuncture Treatment of Chronic Pain: An Individual-Level Positron Emission Tomography Study.Frontiers in neurology · 2022Article
- Combining Regional and Connectivity Metrics of Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging for Individualized Prediction of Pain Sensitivity.Frontiers in molecular neuroscience · 2022Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Opioids are the cornerstone medication for the management of moderate to severe pain. Unfortunately, vast inter-individual differences in dose requirements complicate their effective and safe clinical use. Mechanisms underlying such differences are incompletely understood, are likely multifactorial, and include genetic and environmental contributions. While accumulating evidence suggests that variants of several genes account for some of the observed response variance, the relative contribution of these factors remains unknown. This study used a twin paradigm to provide a global estimate of the genetic and environmental contributions to inter-individual differences in pain sensitivity and analgesic opioid effects. Eighty one monozygotic and 31 dizygotic twin pairs successfully underwent a computer-controlled infusion with the μ-opioid agonist alfentanil in a single occasion, randomized, double-blind and placebo-controlled study design. Pain sensitivity and analgesic effects were assessed with experimental heat and cold pressor pain models along with important covariates including demographic factors, depression, anxiety, and sleep quality. Significant heritability was detected for cold pressor pain tolerance and opioid-mediated elevations in heat and cold pressor pain thresholds. Genetic effects accounted for 12-60% of the observed response variance. Significant familial effects accounting for 24-32% of observed variance were detected for heat and cold pressor pain thresholds and opioid-mediated elevation in cold pressor pain tolerance. Significant covariates included age, gender, race, education, and anxiety. Results provide a strong rationale for more detailed molecular genetic studies to elucidate mechanisms underlying inter-individual differences in pain sensitivity and analgesic opioid responses. Such studies will require careful consideration of the studied pain phenotype.
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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.