Evidence map›Paper›PMID 34741676›Full record

ArticleEuropean child & adolescent psychiatry2023

Polygenic risk for aggressive behavior from late childhood through early adulthood.

Tina Kretschmer, Isabelle Ouellet-Morin, Charlotte Vrijen, Ilja Maria Nolte, Catharina Hartman

Abstract read
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In one paragraph

Article in European child & adolescent psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Principles and Policy Recommendations for Comprehensive Genetic Data Governance.Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · 2025
    Article
  3. Article
  4. 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

5 authors.

Tina KretschmerFaculty of Behavioral and Social Sciences, Department of Pedagogy and Educational Sciences, University of Groningen, Grote Rozenstraat 38, 9712TJ, Groningen, Netherlands. t.kretschmer@rug.nl.ORCID http://orcid.org/0000-0001-6936-9285
Isabelle Ouellet-MorinUniversity of Montreal & Research Center of the Montreal Mental Health University Institute, Montreal, Canada.
Charlotte VrijenFaculty of Behavioral and Social Sciences, Department of Pedagogy and Educational Sciences, University of Groningen, Groningen, Netherlands.ORCID http://orcid.org/0000-0001-5144-7863
Ilja Maria NolteDepartment of Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, Netherlands.ORCID http://orcid.org/0000-0001-5047-4077
Catharina HartmanInterdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, Netherlands.

Funding

H2020 European Research Council 757364Nederlandse Organisatie voor Wetenschappelijk Onderzoek 040.11.704
6 · The paper itself

Abstract

Twin studies suggest a substantial role for genes in explaining individual differences in aggressive behavior across development. It is unclear, however, how directly measured genetic risk is associated with aggressive behavior at different moments across adolescence and how genes might distinguish developmental trajectories of aggressive behavior. Here, a polygenic risk score derived from the EAGLE-Consortium genome-wide association study of aggressive behavior in children was tested as predictor of latent growth classes derived from those measures in an adolescent population (n = 2229, of which n = 1246 with genetic information) and a high-risk sample (n = 543, of which n = 335 with genetic information). In the population sample, the polygenic risk score explained variation in parent-reported aggressive behavior at all ages and distinguished between stable low aggressive behavior and moderate and high-decreasing trajectories based on parent-report. In contrast, the polygenic risk score was not associated with self- and teacher-reported aggressive behavior, and no associations were found in the high-risk sample. This pattern of results suggests that methodological choices made in genome-wide association studies impact the predictive strength of polygenic risk scores, not just with respect to power but likely also in terms of generalizability and specificity.

Indexed as

AggressionGenome-Wide Association StudyAdolescentAdultChildHumansLongitudinal StudiesMultifactorial InheritanceParentsRisk FactorsAggressive behaviorLatent class growth modelPolygenic risk score

Identifiers

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.