Evidence map›Paper›PMID 28739213›Full record

ArticleBiological psychiatry2017

Association Between Substance Use Disorder and Polygenic Liability to Schizophrenia.

Sarah M Hartz, Amy C Horton, Mary Oehlert, Caitlin E Carey, Arpana Agrawal, Ryan Bogdan, Li-Shiun Chen, Dana B Hancock, Eric O Johnson, Carlos N Pato and 3 more

Abstract read
In one paragraph

Article in Biological psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sarah M HartzWashington University in St. Louis, St. Louis, Missouri. Electronic address: hartzs@wustl.edu.
Amy C HortonWashington University in St. Louis, St. Louis, Missouri.
Mary OehlertVeterans Affairs Eastern Kansas Health Care System, Leavenworth, Kansas; The University of Kansas Medical Center, Kansas City, Kansas.
Caitlin E CareyWashington University in St. Louis, St. Louis, Missouri.
Arpana AgrawalWashington University in St. Louis, St. Louis, Missouri.
Ryan BogdanWashington University in St. Louis, St. Louis, Missouri.
Li-Shiun ChenWashington University in St. Louis, St. Louis, Missouri.
Dana B HancockRTI International, Research Triangle Park, North Carolina.
Eric O JohnsonRTI International, Research Triangle Park, North Carolina.
Carlos N PatoState University of New York Downstate Medical Center, Brooklyn, New York.
Michele T PatoState University of New York Downstate Medical Center, Brooklyn, New York.
John P RiceWashington University in St. Louis, St. Louis, Missouri.
Laura J BierutWashington University in St. Louis, St. Louis, Missouri.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI RICE, JOHN P · 2001 to 2012
$17.3M
Genomic Psychiatry CohortR01MH085548 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PATO, CARLOS N, PATO, MICHELE T · 2008 to 2012
$16.3M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
GENETICS, THE ADOLESCENT BRAIN, AND ADDICTION LIABILITY: A LONGITUDINAL TWIN STUDYR01HD083614 · NICHD · WASHINGTON UNIVERSITY · PI ANOKHIN, ANDREY P. · 2016 to 2020
$3.0M
Nicotine Dependence to Smoking Cessation: Sequencing Common and Rare VariantsR01DA036583 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2014 to 2017
$3.0M
Personality and Health in Later Life: Psychosocial and Biological MechanismsR01AG045231 · NIA · WASHINGTON UNIVERSITY · PI OLTMANNS, THOMAS · 2014 to 2018
$2.9M
CANNABIS AND TOBACCO INVOLVEMENT: A TWIN STUDYR01DA023668 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2007 to 2016
$2.5M
FAMILY STUDY OF COCAINE DEPENDENCER01DA013423 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA JEAN · 2000 to 2004
$2.2M
Utilizing Interaction to Identify Novel Genetic Factors for Nicotine DependenceR01DA035825 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI HANCOCK, DANA B · 2013 to 2015
$1.5M
NCI NIH HHS P01 CA089392NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NIAAA NIH HHS R21 AA024888NIAAA NIH HHS U10 AA008401NIA NIH HHS R01 AG045231NIA NIH HHS U01 AG052564NICHD NIH HHS R01 HD083614NIDA NIH HHS K02 DA032573NIDA NIH HHS K08 DA032680NIDA NIH HHS R01 DA013423NIDA NIH HHS R01 DA019963NIDA NIH HHS R01 DA023668NIDA NIH HHS R01 DA035825NIDA NIH HHS R01 DA036583NIMH NIH HHS R01 MH085548
6 · The paper itself

Abstract

backgroundThere are high levels of comorbidity between schizophrenia and substance use disorder, but little is known about the genetic etiology of this comorbidity.

methodsWe tested the hypothesis that shared genetic liability contributes to the high rates of comorbidity between schizophrenia and substance use disorder. To do this, polygenic risk scores for schizophrenia derived from a large meta-analysis by the Psychiatric Genomics Consortium were computed in three substance use disorder datasets: the Collaborative Genetic Study of Nicotine Dependence (ascertained for tobacco use disorder; n = 918 cases; 988 control subjects), the Collaborative Study on the Genetics of Alcoholism (ascertained for alcohol use disorder; n = 643 cases; 384 control subjects), and the Family Study of Cocaine Dependence (ascertained for cocaine use disorder; n = 210 cases; 317 control subjects). Phenotypes were harmonized across the three datasets and standardized analyses were performed. Genome-wide genotypes were imputed to the 1000 Genomes reference panel.

resultsIn each individual dataset and in the mega-analysis, strong associations were observed between any substance use disorder diagnosis and the polygenic risk score for schizophrenia (mega-analysis pseudo-R

conclusionsThese results suggest that comorbidity between schizophrenia and substance use disorder is partially attributable to shared polygenic liability. This shared liability is most consistent with a general risk for substance use disorder rather than specific risks for individual substance use disorders and adds to increasing evidence of a blurred boundary between schizophrenia and substance use disorder.

Indexed as

Genome-Wide Association StudyAdultCase-Control StudiesComorbidityFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMeta-Analysis as TopicMiddle AgedMultifactorial InheritancePhenotypePolymorphism, Single NucleotideRisk FactorsSchizophreniaGeneticsPolygenic risk scoreSchizophreniaSubstance dependenceSubstance use disorder

Identifiers

PMID28739213
PMCPMC5643224

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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.