Evidence map›Paper›PMID 42910298›Full record

ReviewBiological psychiatry global open science2026

Exploring the Pleiotropic Genetic Architecture of Substance Use Disorders: Findings From Phenome-Wide Association Studies.

Emily E Hartwell, Rachel L Kember

Abstract readReview
In one paragraph

Review in Biological psychiatry global open science, 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

2 authors.

Emily E HartwellCrescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.
Rachel L KemberCrescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex and common, substance use disorders (SUDs) are heterogeneous in presentation and difficult to treat. Moreover, SUDs are frequently comorbid with other psychiatric disorders and medical issues. While it is known that SUDs are moderately heritable, the underlying genetic etiology of SUDs and their comorbidities have remained elusive. Here, we synthesize findings from 2 types of datasets, namely electronic health record-based datasets and deeply phenotyped datasets, to examine genetic liabilities for substance use and associations with other phenotypes. Each dataset type brings unique strengths and limitations to our understanding of the genetics of SUDs. We review phenome-wide association studies of genetic liability for 4 common substances of abuse (alcohol, opioid, tobacco, and cannabis) as well as a transdiagnostic addiction factor. These analyses consistently identified associations with other substances, psychiatric disorders, demographic characteristics, and comorbid medical conditions. We conclude the review by proposing the ideal dataset and future directions for the field.

Indexed as

ComorbidityGenome-wide association studyPhenome-wide association studyPleiotropyPolygenic scoresSubstance use disorder

Identifiers

PMID42910298
PMCPMC13685928

What OpenQuestion holds

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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.