Genetic Associations of Persistent Opioid Use After Surgery Point to OPRM1 but Not Other Opioid-Related Loci as the Main Driver of Opioid Use Disorder.
Aubrey C Annis, Vidhya Gunaseelan, Albert V Smith, Gonçalo R Abecasis, Daniel B Larach, Matthew Zawistowski, Stephan G Frangakis, Chad M Brummett
Article in Genetic epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
Vidhya GunaseelanDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Albert V SmithDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Gonçalo R AbecasisDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Daniel B LarachDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Matthew ZawistowskiDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Stephan G FrangakisDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Chad M BrummettDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Funding
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
USC-Yale Roybal Center for Behavioral Interventions in AgingP30AG024968 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JASON N. DOCTOR · 2004 to 2026
$14.7M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
TIPS: Training in Perioperative ScienceT32GM108554 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Eric J Delpire · 2014 to 2026
$3.7M
oPIOIDS: Prevention of Iatrogenic Opioid Dependence after SurgeryR01DA042859 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRUMMETT, CHAD M, WALJEE, JENNIFER FILIP · 2017 to 2021
$3.6M
Low-dose buccal buprenorphine: Relative abuse potential and postoperative analgesic acceptabilityK23DA057387 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Daniel Larach · 2023 to 2026
$700k
Genetic Markers of Chronic Postsurgical PainK08AR082454 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Stephan Frangakis · 2023 to 2026
$697k
A. C. Annis, V. Gunaseelan, and C. M. Brummett received funding from the National Institute on Drug Abuse (R01DA042859). D. B. Larach received funding from the National Institute on Drug Abuse (K23DA057387), the National Institute of General Medical Sciences (T32GM108554), and the National Institute on Aging/USC Roybal Center for Behavioral Interventions in Aging (P30AG024968). S. G. Frangakis is funded by a US National Institutes of Health K08 Award, National Institute of Arthritis and Musculoskeletal and Skin Diseases (K08AR082454). The study was further supported by the University of Michigan Precision Health Initiative, and data were in part from the Michigan Genomics Initiative.NHGRI NIH HHS T32 HG000040NIAMS NIH HHS K08 AR082454NIA NIH HHS P30 AG024968NIDA NIH HHS K23 DA057387NIDA NIH HHS R01 DA042859NIGMS NIH HHS T32 GM108554NIGMS NIH HHS T32 GM145449
6 · The paper itself
Abstract
Persistent opioid use after surgery is a common morbidity outcome associated with subsequent opioid use disorder, overdose, and death. While phenotypic associations have been described, genetic associations remain unidentified. Here, we conducted the largest genetic study of persistent opioid use after surgery, comprising ~40,000 non-Hispanic, European-ancestry Michigan Genomics Initiative participants (3198 cases and 36,321 surgically exposed controls). Our study primarily focused on the reproducibility and reliability of 72 genetic studies of opioid use disorder phenotypes. Nominal associations (p < 0.05) occurred at 12 of 80 unique (r
Indexed as
Opioid-Related DisordersPolymorphism, Single NucleotideReceptors, Opioid, muAdultAnalgesics, OpioidCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPhenotypeWhiteAnalgesics, OpioidOPRM1 protein, humanReceptors, Opioid, mucandidate studygenetic association studyOPRM1persistent opioid useprescription
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.
Genetic Associations of Persistent Opioid Use After Surgery Point to OPRM1 but Not Other Opioid-Related Loci as the Main Driver of Opioid Use Disorder. · full record | OpenQuestion