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Related Concept Videos

Human Genetics01:28

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Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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Antisocial Personality Disorder01:24

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Related Experiment Video

Updated: May 10, 2026

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
13:08

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Published on: December 2, 2015

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

Mary Jane Bentley1, Haiqun Lin, Thomas V Fernandez

  • 1Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA.

Journal of Child Psychology and Psychiatry, and Allied Disciplines
|July 5, 2013
PubMed
Summary

This study used a latent variable approach to identify shared genetic risk alleles linked to antisocial behavior in adolescents. Eight single-nucleotide polymorphisms (SNPs) were significantly associated with the antisocial phenotype, highlighting the cumulative impact of common genetic variants.

Keywords:
Antisocial behaviourco-action of gene variantslatent variable analysisshared variance

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Area of Science:

  • Behavioral Genetics
  • Neuroscience
  • Psychiatry

Background:

  • Antisocial behavior has complex etiologies involving genetic and environmental factors.
  • Identifying specific genetic contributions to antisocial behavior is challenging due to polygenicity and gene-environment interactions.

Purpose of the Study:

  • To explore the utility of a latent variable approach in identifying shared genetic variance associated with adolescent antisocial behavior.
  • To investigate the contribution of specific genetic polymorphisms to an antisocial phenotype.

Main Methods:

  • A latent variable approach was used to derive an antisocial phenotype in adolescents.
  • 450 genetic polymorphisms in 71 genes were analyzed using a novel latent variable method.
  • Haplotype and pathway analyses were conducted on genetic data.

Main Results:

  • Eight single-nucleotide polymorphisms (SNPs) from eight genes contributed to a latent genetic variable, explaining 16.0% of the variance in the antisocial phenotype.
  • A linear relationship was observed between the number of risk alleles and latent antisocial variable scores.
  • Genes involved in neurotransmitter signaling (dopamine, serotonin, etc.) and stress response pathways were implicated in mediating susceptibility to antisocial behavior.

Conclusions:

  • Latent variable approaches can effectively study the 'co-action' of gene variants associated with complex behaviors like antisocial behavior.
  • Common genetic variants cumulatively contribute to the etiology of complex behaviors.
  • This methodology may facilitate the identification of shared genetic variance for neuropsychiatric phenotypes in well-characterized cohorts.