Evidence map›Paper›PMID 32705754›Full record

ArticleAddiction biology2021

Identifying risk factors involved in the common versus specific liabilities to substance use: A genetically informed approach.

Eleonora Iob, Tabea Schoeler, Charlotte M Cecil, Esther Walton, Andrew McQuillin, Jean-Baptiste Pingault

Abstract read
In one paragraph

Article in Addiction biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Eleonora IobDepartment of Behavioral Science and Health, University College London, London, UK.ORCID 0000-0003-3617-0266
Tabea SchoelerDepartment of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK.
Charlotte M CecilDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands.
Esther WaltonMRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Andrew McQuillinDivision of Psychiatry, University College London, London, UK.
Jean-Baptiste PingaultDepartment of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK.

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Wellcome Trust
6 · The paper itself

Abstract

Individuals most often use several rather than one substance among alcohol, cigarettes or cannabis. This widespread co-occurring use of multiple substances is thought to stem from a common liability that is partly genetic in origin. Genetic risk may indirectly contribute to a common liability to substance use through genetically influenced mental health vulnerabilities and individual traits. To test this possibility, we used polygenic scores indexing mental health and individual traits and examined their association with the common versus specific liabilities to substance use. We used data from the Avon Longitudinal Study of Parents and Children (N = 4218) and applied trait-state-occasion models to delineate the common and substance-specific factors based on four classes of substances (alcohol, cigarettes, cannabis and other illicit substances) assessed over time (ages 17, 20 and 22). We generated 18 polygenic scores indexing genetically influenced mental health vulnerabilities and individual traits. In multivariable regression, we then tested the independent contribution of selected polygenic scores to the common and substance-specific factors. Our results implicated several genetically influenced traits and vulnerabilities in the common liability to substance use, most notably risk taking (b

Indexed as

Multifactorial InheritanceAdolescentAlcohol DrinkingFemaleGenome-Wide Association StudyHumansLongitudinal StudiesMaleMultivariate AnalysisRegression AnalysisRisk FactorsSchizophreniaSubstance-Related DisordersTobacco UseUnited KingdomYoung Adultcommon liabilitymental healthpersonalitypolygenic risksubstance use

Identifiers

PMID32705754
PMCPMC8427469

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.