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. 2012;7(10):e45086.
doi: 10.1371/journal.pone.0045086. Epub 2012 Oct 15.

Unraveling the genetic etiology of adult antisocial behavior: a genome-wide association study

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Unraveling the genetic etiology of adult antisocial behavior: a genome-wide association study

Jorim J Tielbeek et al. PLoS One. 2012.

Abstract

Crime poses a major burden for society. The heterogeneous nature of criminal behavior makes it difficult to unravel its causes. Relatively little research has been conducted on the genetic influences of criminal behavior. The few twin and adoption studies that have been undertaken suggest that about half of the variance in antisocial behavior can be explained by genetic factors. In order to identify the specific common genetic variants underlying this behavior, we conduct the first genome-wide association study (GWAS) on adult antisocial behavior. Our sample comprised a community sample of 4816 individuals who had completed a self-report questionnaire. No genetic polymorphisms reached genome-wide significance for association with adult antisocial behavior. In addition, none of the traditional candidate genes can be confirmed in our study. While not genome-wide significant, the gene with the strongest association (p-value = 8.7×10(-5)) was DYRK1A, a gene previously related to abnormal brain development and mental retardation. Future studies should use larger, more homogeneous samples to disentangle the etiology of antisocial behavior. Biosocial criminological research allows a more empirically grounded understanding of criminal behavior, which could ultimately inform and improve current treatment strategies.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Manhattan plot showing the GWAS results of the combined study design for adult antisocial behavior.
X-axis represents the chromosomal location for each SNP, and y-axis the −log10 p-value of the association signal.
Figure 2
Figure 2. Quantile-Quantile plot showing the association between the observed and expected −log10 p-values.
The grey shade area represents the 95% confidence interval. The plot shows the results of the combined study design.

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