Evidence map›Paper›PMID 42219759›Full record

ArticlePsychological medicine2026

Polygenic risk factors for comorbid diagnoses in individuals with substance use disorders: A phenome-wide survival analysis.

Peter B Barr, Zöe E Neale, Tim B Bigdeli, Chris Chatzinakos, Philip D Harvey, Roseann E Peterson, Jacquelyn L Meyers

Abstract read
In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Peter B Barrhttps://ror.org/0041qmd21SUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences.ORCID 0000-0001-9321-657X
Zöe E Nealehttps://ror.org/0041qmd21SUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences.ORCID 0000-0001-6440-2445
Tim B Bigdelihttps://ror.org/0041qmd21SUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences.
Chris Chatzinakoshttps://ror.org/0041qmd21SUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences.
Philip D Harveyhttps://ror.org/02dgjyy92University of Miami Miller School of Medicine.
Roseann E Petersonhttps://ror.org/0041qmd21SUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences.
Jacquelyn L Meyershttps://ror.org/0041qmd21SUNY Downstate Health Sciences University, Department of Psychiatry and Behavioral Sciences.

Funding

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
Cross-Population Working Group on Genes and Environment in Major Depression (POP-GEM): Advancing the Understating of Etiology through DiversityR01MH125938 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Roseann Elizabeth Peterson · 2022 to 2026
$4.2M
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
Genetic relationships between PTSD and Alcohol Use Disorder: Integrating GWAS and Deeply Phenotyped Longitudinal data.R01AA030010 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI ANANDA B AMSTADTER, Jacquelyn Leigh Meyers · 2022 to 2026
$3.1M
Genetic Comorbidity of PTSD and Substance Use Disorders in Diverse Populations.R01DA060596 · NIDA · SUNY DOWNSTATE MEDICAL CENTER · PI ANANDA B AMSTADTER, Jacquelyn Leigh Meyers · 2023 to 2026
$2.7M
NIAAA NIH HHS R01AA030010NIDA NIH HHS R01DA050721NIDA NIH HHS R01DA060596NIMHD NIH HHS U54MD017979NIMH NIH HHS R01MH125938
6 · The paper itself

Abstract

objectivePersons with substance use disorders (SUD) often suffer from additional comorbidities. Researchers have explored this overlap via phenome-wide association studies (PheWASs). However, PheWASs are largely cross-sectional, limiting our understanding of whether diagnoses predate the development of an SUD. We characterize whether polygenic scores (PGSs) are associated with time to comorbid diagnoses in electronic health records (EHR) after the first documented SUD diagnosis.

methodsUsing data from All of Us (

resultsMultiple SDoHs were associated with lifetime SUD diagnosis, with annual household income having the largest overall associations (e.g. <$10 K annually vs $100 K-$150 K annually: OR = 4.18; 95% CI = 3.92, 4.45). There were 86 phenome-wide significant PGS associations with subsequent diagnoses across various bodily systems. PGSs for alcohol use disorders, posttraumatic stress disorder, and schizophrenia were each associated with time to their respective diagnoses.

conclusionsSocial determinants, especially those related to income, have profound associations with lifetime SUD risk. Additionally, PGSs for psychiatric conditions are associated with multiple post-SUD diagnoses within those with a SUD, suggesting PGS may capture information beyond lifetime risk, including timing and severity of comorbidities related to SUD.

Indexed as

Multifactorial InheritanceSocial Determinants of HealthSubstance-Related DisordersAdultAlcoholismComorbidityElectronic Health RecordsFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansMaleMiddle AgedPhenomicsRisk FactorsSchizophreniaelectronic health recordsphenome wide association studypolygenic scoressubstance use disorders

Identifiers

PMID42219759
PMCPMC13234526

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LicenceCC BY-NC-ND
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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.