Evidence map›Paper›PMID 30701129›Full record

ArticleClinical psychological science : a journal of the Association for Psychological Science2018

Callous-Unemotional Traits Moderate Genetic and Environmental Influences on Rule-Breaking and Aggression: Evidence for Gene × Trait Interaction.

Frank D Mann, Jennifer L Tackett, Elliot M Tucker-Drob, K Paige Harden

Abstract read
In one paragraph

Article in Clinical psychological science : a journal of the Association for Psychological Science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Frank D MannDepartment of Psychology, University of Texas at Austin.
Jennifer L TackettDepartment of Psychology, Northwestern University.
Elliot M Tucker-DrobDepartment of Psychology, University of Texas at Austin.
K Paige HardenDepartment of Psychology, University of Texas at Austin.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Cortisol, Socioeconomic Status, and Genetic Influences on Cognitive DevelopmentR01HD083613 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2016 to 2020
$3.0M
Genetic Influences on Adolescent Decision-Making and Alcohol UseR21AA020588 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI HARDEN, KATHRYN PAIGE · 2012 to 2013
$406k
NIAAA NIH HHS R21 AA020588NICHD NIH HHS P2C HD042849NICHD NIH HHS R01 HD083613
6 · The paper itself

Abstract

Previous behavioral genetic research in children has found that conduct problems in the presence of high CU traits are more heritable than conduct problems in the presence of low CU traits -- a gene × trait interaction. The current study replicates and extends this finding using a sample of adolescent twins from the Texas Twin Project, who were assessed for rule-breaking and aggression. We find evidence that genetic influences on CU traits contribute to genetic liability for both rule-breaking and aggressive behavior. CU traits moderate genetic influences on aggressive behavior, such that the heritability of aggression is higher among youth with high levels of CU traits. However, we do not find evidence that CU traits moderate genetic influences on rule-breaking behavior. The continuum of callous-unemotionality and the aggression versus rule-breaking distinction continues to be meaningful and intersecting methods for characterizing heterogeneity in the etiology of antisocial behavior.

Indexed as

aggressionantisocial behaviorbehavior geneticscallous-unemotionalgene × trait interactionrule-breaking

Identifiers

PMID30701129
PMCPMC6349236

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.