Evidence map›Paper›PMID 41961466›Full record

ArticleBehavior genetics2026

The Contributions of Multiple Polygenic Scores in Predicting Liability for Major Depressive Disorder and Its Comorbidity with Alcohol Use Disorder.

Jonathan L Wells, Jill A Rabinowitz, Brion S Maher, Amanda E Gentry, James B Burch, Elizabeth C Prom-Wormley

Abstract read
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In one paragraph

Article in Behavior genetics, 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

6 authors.

Jonathan L WellsDepartment of Epidemiology, Virginia Commonwealth University School of Public Health, 830 E Main St. Floor 8, Richmond, VA, 23219, USA. wellsjl4@vcu.edu.ORCID http://orcid.org/0000-0002-0247-9313
Jill A RabinowitzDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, 08901, USA.ORCID http://orcid.org/0000-0002-3674-8032
Brion S MaherDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.ORCID http://orcid.org/0000-0001-9809-0064
Amanda E GentryVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA.ORCID http://orcid.org/0000-0002-6425-9340
James B BurchDepartment of Epidemiology, Virginia Commonwealth University School of Public Health, 830 E Main St. Floor 8, Richmond, VA, 23219, USA.ORCID http://orcid.org/0000-0003-4862-0711
Elizabeth C Prom-WormleyDepartment of Epidemiology, Virginia Commonwealth University School of Public Health, 830 E Main St. Floor 8, Richmond, VA, 23219, USA.ORCID http://orcid.org/0000-0001-9230-9723

Funding

Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
Using a Genetic Approach to Understand Factors Influencing Resistance to Substance UseR01DA054313 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, Elizabeth Chin Prom-Wormley · 2022 to 2026
$2.6M
NIDA NIH HHS R01 DA054313NIDA NIH HHS R01DA054313NIMH NIH HHS T32 MH020030NIMH NIH HHS T32MH020030
6 · The paper itself

Abstract

The inclusion of polygenic scores (PGS) from genetically correlated traits such as Major Depressive Disorder (MDD) and alcohol use disorder (AUD) may improve the prediction of these outcomes and their comorbidity. Despite the importance of this work, few studies have evaluated the efficacy of this possibility. The current study evaluates the use of MDD and AUD PGS individually and together to improve the prediction of MDD, AUD, and comorbid MDD-AUD using a sample of European, African, or Admixed American Ancestry participants from the National Longitudinal Study of Adolescent to Adult Health (N = 7,965). Cross-ancestry MDD and AUD PGS were created using PRS-CSx. The best fitting model of comorbid MDD-AUD in the whole sample included PGS for MDD and AUD (PGS

Indexed as

AlcoholismMajor Depressive DisorderMultifactorial InheritanceAdolescentAdultComorbidityFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGenome-Wide Association StudyHumansLongitudinal StudiesMaleWhite PeopleAlcohol use disorderAncestryComorbidityGenetic liabilityMajor depressive disorderPolygenic scores

Identifiers

PMID41961466
PMCPMC13132973

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.