Evidence map›Paper›PMID 32555147›Full record

ArticleTranslational psychiatry2020

Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples.

Peter B Barr, Albert Ksinan, Jinni Su, Emma C Johnson, Jacquelyn L Meyers, Leah Wetherill, Antti Latvala, Fazil Aliev, Grace Chan, Samuel Kuperman and 9 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% of its field
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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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    Article
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  20. Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort.medRxiv : the preprint server for health sciences · 2023
    Article
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

19 authors at 11 institutions in 3 countries.

Peter B BarrDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA. pbarr2@vcu.edu.ORCID http://orcid.org/0000-0001-9321-657X
Albert KsinanDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, USA.
Jinni SuDepartment of Psychology, Arizona State University, Tempe, AZ, USA.
Emma C JohnsonDepartment of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA.ORCID http://orcid.org/0000-0003-0394-777X
Jacquelyn L MeyersDepartment of Psychiatry & Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA.
Leah WetherillDepartment of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0003-2888-9051
Antti LatvalaInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0001-5695-117X
Fazil AlievDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.ORCID http://orcid.org/0000-0001-8357-4699
Grace ChanDepartment of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA.ORCID http://orcid.org/0000-0002-1257-6889
Samuel KupermanDepartment of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
John NurnbergerDepartment of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA.
Chella KamarajanDepartment of Psychiatry & Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA.ORCID http://orcid.org/0000-0003-2291-6880
Andrey AnokhinDepartment of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA.
Arpana AgrawalDepartment of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA.ORCID http://orcid.org/0000-0002-0313-793X
Richard J RoseDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Howard J EdenbergDepartment of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0003-0344-9690
Marc SchuckitDepartment of Psychiatry, School of Medicine, University of California, San Diego, San Diego, CA, USA.
Jaakko KaprioInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-3716-2455
Danielle M DickDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
Indiana University – Purdue University Indianapolis · USVirginia Commonwealth University · USWashington University in St. Louis · USState University of New York · USUniversity of Helsinki · FIArizona State University · USIndiana University Bloomington · USKarabük University · TRUniversity of California San Diego · USUniversity of Connecticut · USUniversity of Iowa · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI Yunlong Liu · 1989 to 2026
$162.7M
Evolution of memory-related fMRI activation over the course of MCI and ADR01AG027435 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI JOHNSON, KEITH A., SPERLING, REISA A. · 2006 to 2016
$8.6M
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
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Gene-Environment Interaction for Cannabis Use Disorders in Blacks and Whites in the U.S.K01DA037914 · NIDA · SUNY DOWNSTATE MEDICAL CENTER · PI MEYERS, JACQUELYN LEIGH · 2015 to 2019
$573k
Identifying Contributions to the Genetic Correlation Between Alcohol Use Disorders and SchizophreniaF32AA027435 · NIAAA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2018 to 2020
$133k
Academy of Finland (Suomen Akatemia) 100499Academy of Finland (Suomen Akatemia) 118555Academy of Finland (Suomen Akatemia) 141054Academy of Finland (Suomen Akatemia) 205585Academy of Finland (Suomen Akatemia) 265240Academy of Finland (Suomen Akatemia) 308248Academy of Finland (Suomen Akatemia) 308698Academy of Finland (Suomen Akatemia) 312073NIAAA NIH HHS F32 AA027435NIAAA NIH HHS K02 AA018755NIAAA NIH HHS R01 AA015416NIAAA NIH HHS U10 AA008401NIDA NIH HHS K01 DA037914NIDA NIH HHS K02 DA032573NIMH NIH HHS U01 MH109532Türkiye Bilimsel ve Teknolojik Araştirma Kurumu (Scientific and Technological Research Council of Turkey) 114C117U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) F32AA027435U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) K01DA037914U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) K02DA32573
6 · The paper itself

Abstract

Genome-wide, polygenic risk scores (PRS) have emerged as a useful way to characterize genetic liability. There is growing evidence that PRS may prove useful for early identification of those at increased risk for certain diseases. The current potential of PRS for alcohol use disorders (AUD) remains an open question. Using data from both a population-based sample [the FinnTwin12 (FT12) study] and a high-risk sample [the Collaborative Study on the Genetics of Alcoholism (COGA)], we examined the association between PRSs derived from genome-wide association studies (GWASs) of (1) alcohol dependence/alcohol problems, (2) alcohol consumption, and (3) risky behaviors with AUD and other substance use disorder (SUD) criteria. These PRSs explain ~2.5-3.5% of the variance in AUD (across FT12 and COGA) when all PRSs are included in the same model. Calculations of area under the curve (AUC) show PRS provide only a slight improvement over a model with age, sex, and ancestral principal components as covariates. While individuals in the top 20, 10, and 5% of the PRS distribution had greater odds of having an AUD compared to the lower end of the continuum in both COGA and FT12, the point estimates at each threshold were statistically indistinguishable. Those in the top 5% reported greater levels of licit (alcohol and nicotine) and illicit (cannabis and opioid) SUD criteria. PRSs are associated with risk for SUD in independent samples. However, usefulness for identifying those at increased risk in their current form is modest, at best. Improvement in predictive ability will likely be dependent on increasing the size of well-phenotyped discovery samples.

Indexed as

AlcoholismSubstance-Related DisordersAlcohol DrinkingGenome-Wide Association StudyHumansMultifactorial Inheritance

Identifiers

PMID32555147
PMCPMC7303212
OpenAlexW3036508309

What OpenQuestion holds

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LicenceCC BY
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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.