Evidence map›Paper›PMID 27574527›Full record

ArticleFrontiers in genetics2016

Associations between Polygenic Risk for Psychiatric Disorders and Substance Involvement.

Caitlin E Carey, Arpana Agrawal, Kathleen K Bucholz, Sarah M Hartz, Michael T Lynskey, Elliot C Nelson, Laura J Bierut, Ryan Bogdan

Abstract read
In one paragraph

Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  19. Attention deficit hyperactivity disorder symptoms and cannabis use after one year among students of the i-Share cohort.European psychiatry : the journal of the Association of European Psychiatrists · 2022
    Article
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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

8 authors.

Caitlin E CareyDepartment of Psychological and Brain Sciences, Washington University in St. Louis St. Louis, MO, USA.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Kathleen K BucholzDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Sarah M HartzDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Michael T LynskeyInstitute of Psychiatry, King's College London London, UK.
Elliot C NelsonDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Laura J BierutDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Ryan BogdanDepartment of Psychological and Brain Sciences, Washington University in St. Louis St. Louis, MO, USA.

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000448
6 · The paper itself

Abstract

Despite evidence of substantial comorbidity between psychiatric disorders and substance involvement, the extent to which common genetic factors contribute to their co-occurrence remains understudied. In the current study, we tested for associations between polygenic risk for psychiatric disorders and substance involvement (i.e., ranging from ever-use to severe dependence) among 2573 non-Hispanic European-American participants from the Study of Addiction: Genetics and Environment. Polygenic risk scores (PRS) for cross-disorder psychopathology (CROSS) were generated based on the Psychiatric Genomics Consortium's Cross-Disorder meta-analysis and then tested for associations with a factor representing general liability to alcohol, cannabis, cocaine, nicotine, and opioid involvement (GENSUB). Follow-up analyses evaluated specific associations between each of the five psychiatric disorders which comprised CROSS-attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (AUT), bipolar disorder (BIP), major depressive disorder (MDD), and schizophrenia (SCZ)-and involvement with each component substance included in GENSUB. CROSS PRS explained 1.10% of variance in GENSUB in our sample (p < 0.001). After correction for multiple testing in our follow-up analyses of polygenic risk for each individual disorder predicting involvement with each component substance, associations remained between: (A) MDD PRS and non-problem cannabis use, (B) MDD PRS and severe cocaine dependence, (C) SCZ PRS and non-problem cannabis use and severe cannabis dependence, and (D) SCZ PRS and severe cocaine dependence. These results suggest that shared covariance from common genetic variation contributes to psychiatric and substance involvement comorbidity.

Indexed as

cannabiscocainecomorbiditydepressionpolygenicschizophreniasubstance

Identifiers

PMID27574527
PMCPMC4983546

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.