Evidence map›Paper›PMID 41646823›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Substance use disorders exhibit unique and disorder specific genetic associations with externalizing and internalizing psychopathology.

Holly E Poore, Maia Choi, David Zald, Denise A Hien, COGA Collaborators, Peter B Barr, Danielle M Dick

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Holly E PooreDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.
Maia ChoiRutgers Addiction Research Center, Brain Health Institute, Rutgers Health, Piscataway, NJ, USA.
David ZaldCenter for Advanced Human Brain Imaging Research, Rutgers University, Piscataway, NJ, USA.
Denise A HienRutgers University Center of Alcohol & Substance Use Studies, Piscataway, NJ, USA.
COGA Collaborators
Peter B BarrDepartment of Psychiatry & Behavioral Sciences, SUNY Downstate Health Sciences University.ORCID 0000-0001-9321-657X
Danielle M DickDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI JILL C BETTINGER · 2014 to 2026
$19.6M
Research Center in Minority Institutions (RCMI) at City CollegeU54MD017979 · NIMHD · CITY COLLEGE OF NEW YORK · PI M. Felice Marina GHILARDI · 2024 to 2026
$15.9M
The development of alcohol misuse and related problems from adolescence to early midlifeR01AA015416 · NIAAA · WASHINGTON UNIVERSITY · PI DICK, DANIELLE M, SALVATORE, JESSICA E · 2005 to 2024
$7.6M
Using the Genetic Architecture of Substance Use Disorders to Advance Gene Identification and Understanding of Pathways of RiskR01DA050721 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DANIELLE M DICK · 2020 to 2026
$3.9M
Rutgers Training in Addiction Research ProgramT32DA055569 · NIDA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Robert Christopher Pierce · 2023 to 2026
$1.6M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
Training in Etiology and Consequences of Alcohol Use Across the LifespanT32AA032229 · NIAAA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Kristina Melia Jackson · 2025 to 2026
$528k
Exploring the Interface between Substance Use Disorders and other Forms of Psychopathology using Phenotypic and Genomic ApproachesK01DA059657 · NIDA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Holly Poore · 2025 to 2026
$310k
NIAAA NIH HHS K02 AA018755NIAAA NIH HHS P50 AA022537NIAAA NIH HHS R01 AA015416NIAAA NIH HHS T32 AA032229NIAAA NIH HHS U10 AA008401NIDA NIH HHS K01 DA059657NIDA NIH HHS R01 DA050721NIDA NIH HHS T32 DA055569NIMHD NIH HHS U54 MD017979
6 · The paper itself

Abstract

Background and Aims: Substance use disorders (SUDs) are heritable and share genetic variance with externalizing and internalizing psychopathology. Although recent gene identification efforts have demonstrated the value of modeling the shared genetic architecture among SUDs and externalizing, most research has thus far failed to account for overlap with internalizing. In this study, we aim to characterize the genetic relationships of both externalizing and internalizing with SUDs. Design and setting: We used genome-wide association study (GWAS) summary statistics derived from previously published studies of externalizing, internalizing, and SUD outcomes to quantify the genetic overlap between these phenotypes. We characterize this overlap using omnibus, partial, and local genetic correlations, estimates of their shared polygenic effects, genetic causality models, polygenic score (PGS) analyses, and estimates of each SUDs residual variance derived from models in Genomic SEM. Participants: We used GWAS summary statistics from individuals whose genomes were most similar to those from reference panels sampled from Europe ( Measurements: Measurements in this study include GWAS summary statistics for externalizing, internalizing, and four substance use disorders: problematic alcohol use (PAU), cannabis use disorder (CUD), opioid use disorder (OUD), and tobacco use disorder (TUD). SUD outcomes in COGA were DSM-IV symptom counts of AUD, CUD, and OUD and scores on the Fagerstrom Test for Nicotine Dependence. Findings: We found strong genetic relationships of externalizing and, to a lesser extent, internalizing with all SUDs across methods. Despite their more modest associations, internalizing emerged as an important genetic correlate of SUDs. After accounting for variance shared with externalizing, partial genetic correlations between internalizing and SUDs were attenuated but, with the exception of TUD, still significant. Similarly, the PGS Conclusions: From these findings we conclude that shared genetic influences may explain comorbidity observed between SUDs and internalizing disorders and suggest that genetic risk for internalizing should be incorporated into SUD identification and prevention efforts. Future gene identification efforts should study SUDs in the context of both externalizing and internalizing psychopathology.

Indexed as

Externalizinggenetic causalitygenetic correlationsinternalizingpolygenic overlap

Identifiers

PMID41646823
PMCPMC12870668

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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.