Evidence map›Paper›PMID 23822756›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2013

Gene variants associated with antisocial behaviour: a latent variable approach.

Mary Jane Bentley, Haiqun Lin, Thomas V Fernandez, Maria Lee, Carolyn M Yrigollen, Andrew J Pakstis, Liliya Katsovich, David L Olds, Elena L Grigorenko, James F Leckman

Abstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2013. 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
3.2field-weighted citation impact, top 9% of its field
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, 18 citations in OpenAlex.

  1. Nordic OCD & Related Disorders Consortium: Rationale, design, and methods.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. Monoamine Oxidase A (Frontiers in psychology · 2017
    Article
  6. 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

10 authors at 3 institutions in 1 country.

Mary Jane BentleyYale Child Study Center, Yale University School of Medicine, New Haven, CT, USA.
Haiqun Lin
Thomas V Fernandez
Maria Lee
Carolyn M Yrigollen
Andrew J Pakstis
Liliya Katsovich
David L Olds
Elena L Grigorenko
James F Leckman
Yale University · USUniversity of California, Davis · USUniversity of Colorado Denver · US

Funding

TRAINING PROGRAM IN CHILDHOOD NEUROPSYCHIATRIC DISORDERST32MH018268 · NIMH · YALE UNIVERSITY · PI Michael H Bloch, MICHAEL J CROWLEY · 1985 to 2026
$11.0M
Age-17 Follow-up of Home Visiting InterventionR01DA021624 · NIDA · UNIVERSITY OF ROCHESTER · PI OLDS, DAVID L · 2008 to 2012
$8.4M
Research Training for Medical Students & Physician-Scientists in Child PsychiatryR25MH077823 · NIMH · YALE UNIVERSITY · PI ANDRES S MARTIN · 2006 to 2026
$4.0M
NIDA NIH HHS R01 DA021624NIDA NIH HHS R01DA021624NIDA NIH HHS R01DA216240NIMH NIH HHS R25 MH077823NIMH NIH HHS T32 MH018268NIMH NIH HHS T32MH018268
6 · The paper itself

Abstract

objectiveThe aim of this study was to determine if a latent variable approach might be useful in identifying shared variance across genetic risk alleles that is associated with antisocial behaviour at age 15 years.

methodsUsing a conventional latent variable approach, we derived an antisocial phenotype in 328 adolescents utilizing data from a 15-year follow-up of a randomized trial of a prenatal and infancy nurse-home visitation programme in Elmira, New York. We then investigated, via a novel latent variable approach, 450 informative genetic polymorphisms in 71 genes previously associated with antisocial behaviour, drug use, affiliative behaviours and stress response in 241 consenting individuals for whom DNA was available. Haplotype and Pathway analyses were also performed.

resultsEight single-nucleotide polymorphisms (SNPs) from eight genes contributed to the latent genetic variable that in turn accounted for 16.0% of the variance within the latent antisocial phenotype. The number of risk alleles was linearly related to the latent antisocial variable scores. Haplotypes that included the putative risk alleles for all eight genes were also associated with higher latent antisocial variable scores. In addition, 33 SNPs from 63 of the remaining genes were also significant when added to the final model. Many of these genes interact on a molecular level, forming molecular networks. The results support a role for genes related to dopamine, norepinephrine, serotonin, glutamate, opioid and cholinergic signalling as well as stress response pathways in mediating susceptibility to antisocial behaviour.

conclusionsThis preliminary study supports use of relevant behavioural indicators and latent variable approaches to study the potential 'co-action' of gene variants associated with antisocial behaviour. It also underscores the cumulative relevance of common genetic variants for understanding the aetiology of complex behaviour. If replicated in future studies, this approach may allow the identification of a 'shared' variance across genetic risk alleles associated with complex neuropsychiatric dimensional phenotypes using relatively small numbers of well-characterized research participants.

Indexed as

AdolescentAdolescent BehaviorAntisocial Personality DisorderFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenotypeGenotyping TechniquesHumansMaleModels, GeneticPhenotypePilot ProjectsPolymorphism, Single NucleotideRandomized Controlled Trials as TopicReaction TimeAntisocial behaviourco-action of gene variantslatent variable analysisshared variance

Identifiers

PMID23822756
PMCPMC3766409
OpenAlexW2153734694

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.