Evidence map›Paper›PMID 36324656›Full record

ArticleBiological psychiatry global open science2022

The Genetic and Neural Substrates of Externalizing Behavior.

Bart Baselmans, Anke R Hammerschlag, Stephany Noordijk, Hill Ip, Matthijs van der Zee, Eco de Geus, Abdel Abdellaoui, Jorien L Treur, Dennis van 't Ent

Abstract read
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 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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  6. Review
  7. Genetic insights into the relationship between age at menarche and mental health-related phenotypes.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  8. Article
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  13. A Multivariate Genomic Investigation of the Externalizing Spectrum and Suicide Risk.medRxiv : the preprint server for health sciences · 2025
    Article
  14. 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

9 authors.

Bart BaselmansInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.
Anke R HammerschlagChild Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Stephany NoordijkDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Hill IpDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Matthijs van der ZeeDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Eco de GeusDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Abdel AbdellaouiDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Jorien L TreurDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Dennis van 't EntDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Funding

ZonMw 45219101
6 · The paper itself

Abstract

Background: To gain more insight into the biological factors that mediate vulnerability to display externalizing behaviors, we leveraged genome-wide association study summary statistics on 13 externalizing phenotypes. Methods: After data classification based on genetic resemblance, we performed multivariate genome-wide association meta-analyses and conducted extensive bioinformatic analyses, including genetic correlation assessment with other traits, Mendelian randomization, and gene set and gene expression analyses. Results: The genetic data could be categorized into disruptive behavior (DB) and risk-taking behavior (RTB) factors, and subsequent genome-wide association meta-analyses provided association statistics for DB and RTB ( Conclusions: This bottom-up, data-driven study provides new insights into the genetic signals of externalizing behaviors and indicates that commonalities in genetic architecture contribute to the frequent co-occurrence of different DBs and different RTBs, respectively. Bioinformatic analyses supported the DB versus RTB categorization and indicated relevant biological mechanisms. Generally similar gene-brain mappings indicate that neuroanatomical differences, if any, escaped the resolution of our methods.

Indexed as

Disruptive behaviorExternalizing behaviorGene set analysisGenetic correlationGWASMendelian randomizationN-GWAMARisk-taking behaviorStratified LD-score regression

Identifiers

PMID36324656
PMCPMC9616240

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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.