Evidence map›Paper›PMID 36324664›Full record

ArticleBiological psychiatry global open science2022

High Polygenic Risk Scores Are Associated With Early Age of Onset of Alcohol Use Disorder in Adolescents and Young Adults at Risk.

John I Nurnberger, Yumin Wang, Yong Zang, Dongbing Lai, Leah Wetherill, Howard J Edenberg, Fazil Aliev, Martin H Plawecki, David Chorlian, Grace Chan and 16 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biological psychiatry global open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

26 authors.

John I NurnbergerDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana.
Yumin WangDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.
Yong ZangDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.
Dongbing LaiDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
Leah WetherillDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
Howard J EdenbergDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
Fazil AlievDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia.
Martin H PlaweckiDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana.
David ChorlianHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
Grace ChanDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
Kathleen BucholzDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Lance BauerDepartment of Psychiatry, University of Connecticut, Farmington, Connecticut.
Chella KamarajanHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
Jessica E SalvatoreDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia.
Manav KapoorDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Victor HesselbrockDepartment of Psychiatry, University of Connecticut, Farmington, Connecticut.
Danielle DickDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia.
Laura BierutDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Vivia McCutcheonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Jacquelyn L MeyersHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
Bernice PorjeszHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
John KramerDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
Samuel KupermanDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
Sivan KinreichHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry, State University of New York Downstate Health Sciences University, Brooklyn, New York.
Andrey P AnokhinDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Collaborative Study on the Genetics of Alcoholism

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
Genetics, Romantic Relationships, and Alcohol Misuse in Emerging AdulthoodK01AA024152 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2016 to 2020
$741k
NIAAA NIH HHS K01 AA024152NIAAA NIH HHS U10 AA008401
6 · The paper itself

Abstract

Background: Genome-wide association studies have been conducted in alcohol use disorder (AUD), and they permit the use of polygenic risk scores (PRSs), in combination with clinical variables, to predict the onset of AUD in vulnerable populations. Methods: A total of 2794 adolescent/young adult subjects from the Collaborative Study on the Genetics of Alcoholism were followed, with clinical assessments every 2 years. Subjects were genotyped using a genome-wide chip. Separate PRS analyses were performed for subjects of European ancestry and African ancestry. Age of onset of DSM-5 AUD was evaluated using the Cox proportional hazard model. Predictive power was assessed using receiver operating characteristic curves and by analysis of the distribution of PRS. Results: European ancestry subjects with higher than median PRSs were at greater risk for onset of AUD than subjects with lower than median PRSs ( Conclusions: Predictive power for PRSs in the extremes of the distribution suggests that these may have future clinical utility. Uncertainties in interpretation at the individual level still preclude current application.

Indexed as

Alcohol use disorderClinical variablesPolygenic risk scoresPrediction of illnessReceiver operating characteristics curvesSurvival analysis

Identifiers

PMID36324664
PMCPMC9616304

What OpenQuestion holds

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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.