Evidence map›Paper›PMID 38317430›Full record

ArticlePsychological medicine2024

Genetic and non-genetic predictors of risk for opioid dependence.

Peter J Na, Joseph D Deak, Henry R Kranzler, Robert H Pietrzak, Joel Gelernter

Abstract read
In one paragraph

Article in Psychological medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
  6. Genetic and Epigenetic Approaches to Opioid Use Disorder.Expert reviews in molecular medicine · 2025
    Review
  7. Article
  8. Article
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  11. Observational
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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

5 authors.

Peter J NaVA Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0003-3895-7417
Joseph D DeakVA Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0002-0540-6080
Henry R KranzlerMental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.ORCID 0000-0002-1018-0450
Robert H PietrzakDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-5561-6414
Joel GelernterVA Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0002-4067-1859

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
7/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01DA054869 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2021 to 2025
$3.3M
A Big Data Approach to Identify Epigenetic, Transcriptomic, and Network Dynamics as Immune Dysfunction Drivers Associated with HIV Infection and Substance Use DisorderR01DA051906 · NIDA · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER · 2020 to 2024
$2.8M
Genetics of Alcohol Dependence in African Americans: RecruitmentR01AA026364 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2018 to 2022
$2.0M
Translational Alcohol Research Program (TARP)T32AA028259 · NIAAA · YALE UNIVERSITY · PI COSGROVE, KELLY P., VASILIOU, VASILIS · 2020 to 2024
$1.8M
Genetic Vulnerability for Sustained Multi-Substance Use in MVPI01BX004820 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI Amy Caroline Justice, HENRY RICHARD KRANZLER · 2020 to 2026
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Understanding the role of modifiable lifestyle and psychosocial factors in moderating genetic risk for alcohol use problems in veteransIK1CX002532 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI NA, PETER · 2022 to 2023
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Genomics of PTSD and Related TraitsI01CX001849 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI GELERNTER, JOEL, STEIN, MURRAY B. · 2019 to 2022
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Pharmacogenetic Study of Opioid Agonist Treatments in MVPI01CX001734 · VA · PHILADELPHIA VA MEDICAL CENTER · PI KAMPMAN, KYLE MATTHEW · 2019 to 2021
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BLRD VA I01 BX004820CSRD VA I01 CX001734CSRD VA I01 CX001849CSRD VA IK1 CX002532CSRD VA IK2 CX002817NCATS NIH HHS UL1 TR001863NIAAA NIH HHS R01 AA026364NIAAA NIH HHS T32 AA028259NIDA NIH HHS R01 DA051906NIDA NIH HHS R01 DA054869
6 · The paper itself

Abstract

backgroundElucidation of the interaction of biological and psychosocial/environmental factors on opioid dependence (OD) risk can inform our understanding of the etiology of OD. We examined the role of psychosocial/environmental factors in moderating polygenic risk for opioid use disorder (OUD).

methodsData from 1958 European ancestry adults who participated in the Yale-Penn 3 study were analyzed. Polygenic risk scores (PRS) were based on a large-scale multi-trait analysis of genome-wide association studies (MTAG) of OUD.

resultsA total of 420 (21.1%) individuals had a lifetime diagnosis of OD. OUD PRS were positively associated with OD (odds ratio [OR] 1.42, 95% confidence interval [CI] 1.21-1.66). Household income and education were the strongest correlates of OD. Among individuals with higher OUD PRS, those with higher education level had lower odds of OD (OR 0.92, 95% CI 0.85-0.98); and those with posttraumatic stress disorder (PTSD) were more likely to have OD relative to those without PTSD (OR 1.56, 95% CI 1.04-2.35).

conclusionsResults suggest an interplay between genetics and psychosocial environment in contributing to OD risk. While PRS alone do not yet have useful clinical predictive utility, psychosocial factors may help enhance prediction. These findings could inform more targeted clinical and policy interventions to help address this public health crisis.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceOpioid-Related DisordersAdultEducational StatusFemaleGene-Environment InteractionGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk FactorsStress Disorders, Post-TraumaticWhite Peopleepidemiologyopioid dependenceopioidsopioid use disorderpolygenic risk scoresrisk prediction

Identifiers

PMID38317430
PMCPMC11132928

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Registered trials

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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.