Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior
Open accessAbstract
Importance Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified.
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5 of 23 cited sources checked · 5 supported · 0 flagged
- Premisecitation
A systematic review and meta-analysis found no significant overall association between previously reported candidate genes and aggression.
“a systematic review and meta-analysis of the majority of published genetic association studies on aggression and violence failed to reveal a significant overall association between any of the previously reported candidate genes and aggression”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Vassos, Collier, & Fazel, 2014 source
- Premisecitation
Other published genome-wide association studies of antisocial phenotypes did not report genome-wide significant associations.
“none of the other published GWAS studies Tielbeek et al. 2012(Tielbeek et al., 2012) (QIMR, N=4816, continuous measure of adult antisocial behaviour), Salvatore et al. 2015(Salvatore et al., 2015) (COGA, N=1379, continuous measure of adult antisocial behaviour, part of the present meta-analysis), Viding et al. 2010(Viding et al., 2010) (TEDS, N=1186 (Ncases=593), psychopathic tendencies) and Derr”
Quote in the paperSubstantial claim2 of 3 sources checked - Premisecitation
One genome-wide association study of childhood conduct disorder in an American sample detected three genome-wide significant loci.
“One study, carried out on childhood conduct disorder in an American sample (N=3963, including 872 cases and 3091 controls), detected three genome-wide significant loci”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites D. M. Dick et al., 2011 source
- Findingown data
Top signals were located differently across sex.
“Top signals were located differently across sex, which is illustrated by the Miami plot in Figure 1 and Table S5.”
Quote in the paperNot a substantial claim
- Findingown data
There was support for a negative genetic correlation between antisocial behaviour and Age of First Birth (r=-.43, p=.008).
“Age of First Birth (r=-.43, p=.008)”
Quote in the paperNot a substantial claim - Findingown data
The male-only genome-wide association meta-analysis identified a near genome-wide signal on chromosome X (rs41456347, p=2.0 x 10-8, R2=.41%).
“the meta-analysis for males (N=7772, Table S2c) identified a near genome-wide signal on chromosome X (rs41456347, p= 2.0 x 10-8, R2=.41%)”
Quote in the paperNot a substantial claim - Findingown data
The BroadABC antisocial genetic risk scores could predict case-control status of antisocial personality disorder in the Finnish Crime Study.
“The BroadABC antisocial genetic risk scores could predict case-control status of antisocial personality disorder in the Finnish Crime Study (sex-combined, p=.031; male-specific, p=.05, in the most optimal model”
Quote in the paperSubstantial claim - Findingown data
There was no evidence for heterogeneity across discovery samples in the association of rs2764450, rs11215217 and rs41456347 with antisocial behaviour.
“We found no evidence for heterogeneity (I2=0) across discovery samples in the association of rs2764450 (p=.45), rs11215217 (p=.54) and rs41456347 (p=.60) with ASB”
Quote in the paperNot a substantial claim - Findingown data
None of the traditional candidate genes for antisocial behaviour were significantly associated with antisocial behaviour.
“None of the traditional candidate genes on antisocial behaviour were significantly associated with ASB (top gene=TH, pcorr=.0841, Table S4a-c).”
Quote in the paperNot a substantial claim - Findingown data
There was a suggestive positive genetic correlation between antisocial behaviour and neuroticism (r=.29, p=.02).
“we found a suggestive positive genetic correlation with neuroticism (r=.29, p=.02)”
Quote in the paperNot a substantial claim - Findingown data
Sign tests showed no consistent directions of effect between SNPs for males and females.
“The sign tests showed no consistent directions of effect (proportion was .51, .50 and .50 respectively) for SNPs selected for different p-value thresholds (.05, .001 and .0001).”
Quote in the paperNot a substantial claim - Findingown data
There was no evidence for genetic overlap between antisocial behaviour and schizophrenia, bipolar disorder, ADHD or age at menarche.
“There was no evidence for genetic overlap between ASB and Schizophrenia, Bipolar Disorder, ADHD or Age at Menarche.”
Quote in the paperSubstantial claim - Findingown data
The female-only genome-wide association meta-analysis revealed three loci approaching genome-wide significance on chromosomes 1 and 11.
“The GWAS meta-analysis for females only (N=8535, Table S2b) revealed three loci approaching genome-wide significance on chromosome 1 (rs2764450, p= 4.8 x 10-8, R2=.35%) and 11 (rs11215217, p= 2.1 x 10-8, R2=.37%)”
Quote in the paperNot a substantial claim - Findingown data
There was support for a negative genetic correlation between antisocial behaviour and Age at Menopause (r=-.49, p=.01).
“support for a negative genetic correlation between ASB and Age at Menopause (r=-.49, p=.01)”
Quote in the paperNot a substantial claim - Findingown data
The sex-specific signals were supported by a large number of suggestive SNPs in incomplete linkage disequilibrium with the lead SNP.
“The sex-specific signals were supported by a large number of suggestive SNPs, which were in incomplete LD with the lead SNP”
Quote in the paperNot a substantial claim - Findingown data
This study is the largest investigation to date on the genetic architecture of antisocial behaviour (N=25,781).
“This study represents the largest (N=25,781) investigation on the genetic architecture of antisocial behaviour to date.”
Quote in the paperSubstantial claim - Findingown data
The estimated proportion of phenotypic variance in antisocial behaviour explained by all SNPs was 5.2% with a standard error of 2.7% (p<.05).
“The estimated proportion of the phenotypic variance in ASB explained by all SNPs was 5.2% with a standard error of 2.7% (p<.05).”
Quote in the paperSubstantial claim - Findingown data
Stronger polygenic risk effects were found for the sex-specific analyses.
“Moreover, stronger polygenic risk effects were found for the sex-specific analyses.”
Quote in the paperSubstantial claim - Findingown data
The combined discovery meta-analysis incorporating both sexes did not identify genetic variants of genome-wide significance (N=16,400, lowest p=6.1 x 10-7).
“The combined discovery meta-analysis, incorporating both sexes, did not identify genetic variants of genome-wide significance (N=16,400, lowest p= 6.1 x 10-7).”
Quote in the paperSubstantial claim - Findingown data
Follow-up analyses showed evidence of enrichment of low p-values in the same SNPs for antisocial behaviour and educational attainment (OR=3.26, p=.001).
“Follow-up analyses, utilizing Fisher’s exact test, showed evidence of enrichment of low P (p-values below the threshold p<.001) in same SNPs for ASB and educational attainment (OR=3.26, p=.001).”
Quote in the paperNot a substantial claim - Findingown data
There was support for a positive genetic correlation between antisocial behaviour and Number of Children Ever Born (r=.42, p=.03).
“a positive genetic correlation with Number of Children Ever Born (r=.42, p=.03)”
Quote in the paperNot a substantial claim - Findingown data
There was a significant and moderate negative genetic correlation between antisocial behaviour and educational attainment (r=-.52, p=.005).
“We found a significant (corrected α=.006) and moderate negative genetic correlation between ASB and educational attainment (r=-.52, p=.005).”
Quote in the paperSubstantial claim - Findingown data
Fisher exact tests showed no evidence for enrichment of SNPs with low p-values across sex, regardless of sign.
“Fisher exact tests showed no evidence for enrichment of SNPs with low p-values across sex, regardless of sign (odds ratio was .9 and 1.1 for p-values .05 and .001 respectively”
Quote in the paperNot a substantial claim - Premisecitation
Twin studies show that roughly half of the variation in antisocial behaviour is attributable to genetic factors.
“Twin studies indicate that half of the variation in this trait is genetic.”
- Also stated in: § Introduction · hedged
“indicates that about half of the variance in ASB can be explained by genetic factors”
Quote in the paperSubstantial claim0 of 3 sources checked - Also stated in: § Introduction · hedged
- Study design and conductown data
Imputation quality for the lead SNPs was high, with average r2 values of 99.7, 93.8 and 86.8 for rs41456347, rs2764450 and rs11215217, respectively.
“Imputation quality for the lead SNPs was high (average r2 = 99.7, 93.8 and 86.8) for rs41456347, rs2764450 and rs11215217, respectively.”
Quote in the paperNot a substantial claim - Interpretationown data
Significant genetic overlap between antisocial behaviour and educational attainment indicates a common underlying genetic architecture influencing both phenotypes.
“Moreover, we found significant genetic overlap between ASB and educational attainment, indicating a common underlying genetic architecture influencing both phenotypes.”
Quote in the paperSubstantial claim - Interpretationcitation
The absence of positive genome-wide association results is most likely explained by low statistical power to detect small effects.
“This lack of positive results from GWAS is most likely due to low statistical power to detect small effects”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Visscher, Brown, McCarthy, & Yang, 2012 source
- Premisecitation
Additive genetic factors account for 81% of the variance in externalizing behaviour.
“additive genetic factors account for 81% of the variance in externalizing behaviour”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Krueger et al., 2002
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The relationship between antisocial behaviour and cognitive and psychiatric traits is partly due to shared genetic factors.
“Twin studies further determined that the relationship between ASB and cognitive and psychiatric traits is in part due to common genetic factors”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [10]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Even though sample sizes were smaller, the sex-specific analyses yielded increased specificity because potential noise due to different genetic loci driving the genetic component of antisocial behaviour in males and females was removed.
“Even though sample sizes were smaller, the sex-specific analyses yielded increased specificity because potential noise, due to different genetic loci driving the genetic component of ASB in males and females, was removed.”
Quote in the paperSubstantial claim - Premisecitation
Genetic continuity of antisocial behaviour during childhood and adolescence is largely explained by genetic factors.
“genetically informative longitudinal studies demonstrating evidence for genetic continuity (the continuity in antisocial behaviour during childhood and adolescence is largely explained by genetic factors)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites van Beijsterveldt, Bartels, Hudziak, & Boomsma, 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
The negative genetic correlation with educational attainment is consistent with previous epidemiological studies reporting a negative association between academic performance and delinquency.
“The negative genetic correlation with educational attainment is consistent with previous epidemiological studies reporting a negative association between academic performance and delinquency”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Maguin & Loeber, 1996 source
- Study design and conductown data
Sample sizes were too small in the sex-specific meta-analyses to estimate SNP heritability separately for males and females.
“Sample sizes were too small in the sex-specific meta-analyses to be used to estimate SNP h2 for the male and female samples separately.”
Quote in the paperNot a substantial claim - Premisecitation
Recent schizophrenia genome-wide association studies by the Psychiatric Genomics Consortium illustrated a direct relationship between sample size and success in detecting genetic variants.
“recent work of the Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC) illustrated the direct relationship between sample size and success in detecting genetic variants”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Schizophrenia Working Group of the Psychiatric Genomics Consortium, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Purcell et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Ripke et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The current results suggest the presence of at least partly sex-specific genetic effects.
“Our current results suggest the presence of at least partly sex-specific genetic effects.”
Quote in the paperSubstantial claim - Premisereasoning
Relatively few genome-wide association studies have focused on antisocial phenotypes.
“To date, relatively few GWAS have focused on antisocial phenotypes.”
Quote in the paperSubstantial claim - Interpretationreasoning
Sex differences in antisocial behaviour might partly reflect sex differences in genetic architecture.
“which might partly reflect sex differences in genetic architecture”
Quote in the paperSubstantial claim
- May combine two claims. 17
- Classified as probably not a substantial claim. 7
May combine two claims.
Findingown dataNo significant genetic overlap was found with conduct disorder in YalePenn, although a nominal significant effect in the expected direction was found in the males-only analysis.
“No significant genetic overlap was found with conduct disorder in YalePenn, although a nominal significant effect (p=.04, R2=.0022) in the expected direction was found in the males-only analysis”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGene-based and gene-set analyses yielded no significant genes or gene-sets.
“Gene-based and gene-set analyses yielded no significant genes (top gene= CENPI, p= 3.2 × 10-5, Table S3a-c, Figure S3) or gene-sets (top gene-set=‘Reactome cell communication’, p= 3.6 × 10-4, Table S3d).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe polygenic risk score analyses revealed low Nagelkerke's R2 estimates that did not exceed the Bonferroni corrected threshold for significance.
“Nevertheless, the analyses revealed low Nagelkerke’s R2 estimates (R2=.0019 in the most optimal model) not exceeding the Bonferroni corrected threshold for significance.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe Broad Antisocial Behaviour Consortium has genotypic and phenotypic data from 25,781 individuals across eight unique samples, making it the largest collective sample available for estimating genome-wide genetic variant effects on antisocial behaviour.
“In total, BroadABC has genotypic and phenotypic data from 25,781 individuals across eight unique samples, making it the largest collective sample available to estimate the effects of genome wide genetic variants for ASB”
- Also stated in: § Conclusions and Relevance · plain
“The Broad Antisocial Behaviour Consortium entails the largest collaboration to date (total N=25,781) on the genetic architecture of antisocial behaviour”
Quote in the paperSubstantial claim- Also stated in: § Conclusions and Relevance · plain
May combine two claims.
FindingreasoningThe genomic inflation factors for the combined, male and female meta-analyses were 1.015, 1.012 and 1.001, respectively, which are as expected under a polygenic model.
“The genomic inflation factors for the combined, male and female meta-analyses were 1.015, 1.012 and 1.001, respectively, which are as expected under a polygenic model given the current sample size, prevalence, and heritability of ASB”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe genetic effect from the females-only antisocial behaviour analysis significantly overlapped with genetic effects on conduct problems in MSUTR, but not with the sex-combined and males-only analyses.
“we found that the genetic effect from the females-only ASB analysis significantly overlapped with genetic effects in the expected direction on conduct problems in MSUTR (p= .004, R2=.021 for the most optimal model, see Figure 2E), but not with the sex-combined and males-only analyses”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe genome-wide significance threshold was set at 1.67 x 10-8 because three meta-analyses were performed.
“The genome-wide significance threshold was set at 1.67 x 10-8 as we performed three meta-analyses”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataPolygenic risk score analysis based on a broad conceptualization of antisocial behaviour could reliably predict some variation in antisocial personality disorder in a forensic cohort, demonstrating that population-based genetic association studies can be informative for at-risk samples.
“Polygenic risk score analysis, based on a broad conceptualization of ASB, could reliably predict some of the variation in antisocial personality disorder in a forensic cohort, demonstrating that population-based genetic association studies can also be informative for samples that are at-risk.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThere were no discrepancies between the results files of the two analysts at either the cohort level or the meta-analysis level.
“There were no discrepancies between the results files of the two analysts at either the cohort level or the meta-analysis level.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIt cannot be ruled out that most of the genetic variance in antisocial behaviour is due to rare alleles.
“although we cannot rule out that most of the genetic variance in ASB is due to rare alleles”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPrevious meta-analytical genome-wide association studies successfully used a joint analysis approach and identified additional loci associated with depressive symptoms and neuroticism.
“previous meta-analytical GWAS studies have successfully applied this joint analysis approach, by identifying additional loci associated with depressive symptoms and neuroticism”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Okbay, Baselmans, et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataAntisocial behaviour also correlates with reproductive traits, fitting the unified evolutionary theory proposed by Boutwell and others.
“Strikingly, ASB also correlates with reproductive traits, thus fitting to the unified evolutionary theory that Boutwell and others proposed”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Boutwell et al., 2015 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenQuality control and meta-analysis of the genome-wide association summary results were performed by two independent analysts following a strict analysis protocol.
“Quality control (QC) and meta-analysis of the GWA summary results were performed by two independent analysts (J.J.T. & A.J.), following a strict analysis protocol.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe measured SNPs accounted for 5% of the variance in antisocial behaviour, which is about 10% of the heritability estimated from family-based studies.
“SNP heritability analyses demonstrated that the collective effect of the measured SNPs accounted for 5% of the variance, or 10% of the heritability of ˜50%, as estimated from family-based studies.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAntisocial behaviour is heritable and highly polygenic, and part of its genetic architecture is sex specific.
“Our meta-analyses of diverse continuous measures of ASB showed that ASB is heritable and highly polygenic and suggests that part of the genetic architecture is sex specific.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenOnly polymorphisms with a total sample size greater than 10,000 across all samples and greater than 5,000 in sex-specific analyses were reported and interpreted.
“We only reported and interpreted the results of polymorphisms with a total sample size greater than 10,000 (across all samples) and 5000 (sex-specific).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataWe removed 2,134,049 SNPs due to insufficient total sample size, leaving 7,392,849 SNPs available for analyses.
“We removed 2,134,049 SNPs due to insufficient total sample size (N < 10 000), resulting in 7,392,849 SNPs available for analyses.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningAll participants were recruited from different regions, making sample overlap highly unlikely.
“All participants were recruited from different regions, thus making sample overlap highly unlikely.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataEffect sizes were very small, indicating limited prediction accuracy and clinical utility for the current genome-wide association outcomes.
“Nevertheless, effect sizes were very small, indicating limited prediction accuracy and clinical utility for the current GWAS outcomes.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThere are substantial differences in prevalence, age of onset, and severity of antisocial behaviour between males and females.
“Given the substantial differences in prevalence, age of onset, and severity of ASB between males and females (Cale & Lilienfeld, 2002)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cale & Lilienfeld, 2002 source
Classified as probably not a substantial claim.
Study design and conductnone givenGenome-wide association analyses were performed at the cohort level according to a pre-specified analysis plan.
“Genome-wide association analyses (GWA) were performed at the cohort level according to a pre-specified analysis plan (Standard Operating Procedures; SOP).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe genetic correlation analyses revealed a suggestive positive genetic correlation of antisocial behaviour with neuroticism, which is concordant with previous twin research demonstrating a shared genetic etiology of externalizing behaviour and negative emotionality.
“Our genetic correlation analyses revealed a suggestive positive genetic correlation of ASB with neuroticism, which is concordant with previous twin research demonstrating a shared genetic etiology of externalizing behaviour and negative emotionality”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Singh & Waldman, 2010 source
The paper relies on this without support.
Recent genome-wide association studies of other complex traits demonstrate that SNP heritability increases with greater sample sizes.
“Recent GWAs on other complex traits such as height, BMI, and schizophrenia clearly demonstrated that with greater sample sizes the SNP h2 increases.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The EAGLE GWAS meta-analysis of children's aggression and Tielbeek's GWAS of antisocial behavior (64% adult) do not show genetic correlation.
“Furthermore, the EAGLE GWAS meta-analysis of children’s aggression [13] and the Tielbeek’s GWAS of antisocial behavior (64% adult) [47] do not show genetic correlation.”
From An integrated analysis of genes and functional pathways for aggression in human and rodent models (2019) · cites this paper as [47]
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“Given the substantial differences in prevalence, age at onset, and severity of ASB between males and females,(39) which might in part reflect sex differences in genetic architecture, it is important to account for those effects in genetic research designs.(40) Our current results suggest the presence of at least some…”
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ResultInfluentialMeta-Analysis of Genome-Wide Association Studies of Attention-Deficit/Hyperactivity Disorder
Neale, B. M., Medland, S. E., Ripke, S., Asherson, P., Franke, B., Lesch, K.-P., Faraone, S. V., Nguyen, T. T., Schäfer, H., Holmans, P., et al. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.06.008 · Cited by 450 · see citing works
Self-citationAcute Stress Disorder and Posttraumatic Stress Disorder in Victims of Violent Crime
Brewin, C. R., Andrews, B., Rose, S., & Kirk, M. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.3.360 · Cited by 437 · cited 1× · see citing works
“BroadABC focuses on the broad spectrum of ASB and currently consists of 5 discovery cohorts (a combined 16 400 individuals) and 3 independent prediction and replication samples: (1) a population-based sample (n = 825), (2) a forensic sample (n = 6220), and (3) and a substance-dependent sample (n = 2336).”
BackgroundSex differences in psychopathy and antisocial personality disorder
Cale, E. M., & Lilienfeld, S. O. (2002) · Clinical Psychology Review · doi:10.1016/s0272-7358(01)00125-8 · Cited by 395 · see citing works
Candidate Gene–Environment Interaction Research
Dick, D. M., Arpana Agrawal, A., Keller, M. C., Adkins, A. E., Alıev, F., Monroe, S. M., Hewitt, J. K., Kendler, K. S., & Sher, K. J. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691614556682 · Cited by 358 · cited 1× · see citing works
“This is attributable in part to the a priori inferences of the classic candidate gene approach, which increases the chances of false-positive findings in the typically small sample sizes of the individual studies.(14) Genome-wide association studies (GWASs) can overcome these limitations.”
Self-citationAre there meaningful etiological differences within antisocial behavior? Results of a meta-analysis
Burt, S. A. (2009) · Clinical Psychology Review · doi:10.1016/j.cpr.2008.12.004 · Cited by 305 · see citing works
Self-citationVassos, E., Collier, D. A., & Fazel, S. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.31 · Cited by 234 · see citing works
Genetic background of extreme violent behavior
Tiihonen, J., Rautiainen, M.-R., Ollila, H. M., Repo‐Tiihonen, E., Virkkunen, M. E., Palotie, A. V., Pietiläinen, O. P. H., Kristiansson, K., Joukamaa, M. I., Lauerma, H., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.130 · Cited by 220 · cited 1× · see citing works
“Because of the extra perceived vulnerability of the Finnish Crime Study participants, multiple committees, including theEthicsCommittee forPediatrics,AdolescentMedicine, andPsychiatry,HospitalDistrictofHelsinki andUusimaa, and Criminal Sanctions Agency, approved this study.(27) Key Points Questions Which genetic varia…”
BackgroundSelf-citationEffect of polygenic risk scores on depression in childhood trauma
Peyrot, W. J., Milaneschi, Y., Abdellaoui, A., Sullivan, P. F., Hottenga, J. J., Boomsma, D. I., & Penninx, B. W. J. H. (2014) · British Journal of Psychiatry · doi:10.1192/bjp.bp.113.143081 · Cited by 209 · cited 1× · see citing works
“As large-scale initiatives, such as the BroadABC, continue to increase, these collaborative efforts will also facilitate the conduct of epidemiologic studies that incorporate genome-wide data and environmental factors in a joint analysis.(48) Discoveries obtained from such gene-environment–wide interaction studies may…”
BackgroundKendler, K. S. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.50 · Cited by 178 · cited 1× · see citing works
“The lack of replicationof candidate genes forASB is consistentwithother candidate gene findings inpsychiatry,which for themost part have failed to identify reproducible and clinically useful genetic variants.(13) This is attributable in part to the a priori inferences of the classic candidate gene approach, which incr…”
Backgroundvan Beijsterveldt, C. E. M., Bartels, M., Hudziak, J. J., & Boomsma, D. I. (2003) · Behavior Genetics · doi:10.1023/a:1025735002864 · Cited by 173 · see citing works
Comorbidity and Continuity of Psychiatric Disorders in Youth After Detention
Abram, K. M., Zwecker, N. A., Welty, L. J., Hershfield, J. A., Dulcan, M. K., & Teplin, L. A. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1375 · Cited by 153 · cited 1× · see citing works
“In addition, ASB has high comorbidity with other psychiatric traits and maladaptive behaviors.(4,5) Therefore, identification of the causal mechanisms that underlie ASB is important to identify preventionandtreatmentmodalities.”
BackgroundMonoamine oxidase A genotype is associated with gang membership and weapon use
Beaver, K. M., DeLisi, M., Vaughn, M. G., & Barnes, J. C. (2009) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2009.03.010 · Cited by 147 · see citing works
Self-citationCriminals in the Making: Criminality across the Life Course
WRIGHT, J. P., Tibbetts, S. G., & Daigle, L. E. (2015) · Sage eBooks · doi:10.4135/9781483399300 · Cited by 112 · cited 1× · see citing works
“BroadABC focuses on the broad spectrum of ASB and currently consists of 5 discovery cohorts (a combined 16 400 individuals) and 3 independent prediction and replication samples: (1) a population-based sample (n = 825), (2) a forensic sample (n = 6220), and (3) and a substance-dependent sample (n = 2336).”
BackgroundGenome-wide association study of conduct disorder symptomatology
Dick, D. M., Aliev, F., Krueger, R. F., Edwards, A., Agrawal, A., Lynskey, M., Lin, P., Schuckit, M., Hesselbrock, V, Nurnberger, J., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.73 · Cited by 111 · see citing works
Self-citationGunter, T. D., Vaughn, M. G., & Philibert, R. A. (2010) · Behavioral Sciences & the Law · doi:10.1002/bsl.923 · Cited by 86 · see citing works
Unraveling the Genetic Etiology of Adult Antisocial Behavior: A Genome-Wide Association Study
Tielbeek, J. J., Medland, S. E., Benyamin, B., Byrne, E. M., Heath, A. C., Madden, P. A. F., Martin, N. G., Wray, N. R., & Verweij, K. J. H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045086 · Cited by 86 · see citing works
Self-citationViding, E., Hanscombe, K. B., Curtis, C. J. C., Davis, O. S. P., Meaburn, E. L., & Plomin, R. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02236.x · Cited by 83 · see citing works
Self-citationLD Score Regression Distinguishes Confounding from Polygenicity in Genome-Wide Association StudiesPreprint
Bulik-Sullivan, B. K., Loh, P., Finucane, H. K., et al. (2014) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/002931 · Cited by 80 · see citing works
The etiology of associations between negative emotionality and childhood externalizing disorders.
Singh, A. L., & Waldman, I. D. (2010) · Journal of Abnormal Psychology · doi:10.1037/a0019342 · Cited by 78 · cited 1× · see citing works
“Ourgenetic correlationanalyses revealedapromisingpositive genetic correlationofASBwithneuroticism, a finding that is concordant with previous twin research demonstrating a shared genetic origin of externalizing behavior and negative emotionality.(41) Moreover, we found significant genetic overlapbetweenASBandeducation…”
ResultSelf-citationMaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Ding, J., Willer, C. J., Scheet, P. A., et al. (2020) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/gvdb-wm51 · Cited by 74 · see citing works
Power in GWAS: lifting the curse of the clinical cut-off
van der Sluis, S., Posthuma, D., Nivard, M. G., Verhage, M., & Dolan, C. V. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.65 · Cited by 73 · cited 1× · see citing works
“Cohorts and Phenotypes Except for the Finnish Crime Study, which used a dichotomized outcomemeasure, all studies used a continuous scale to increase statistical power.(28) To maximize sample size, we included studieswithabroad rangeof antisocialmeasures, including aggressive and nonaggressive domains of ASB and using…”
MethodSelf-citationThe Epidemiology of Antisocial Behavioral Syndromes in Adulthood
Goldstein, R. B., Chou, S. P., Saha, T. D., Smith, S. M. R., Jung, J., Zhang, H., Pickering, R. P., Ruan, W. J., Huang, B., & Grant, B. F. (2016) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.15m10358 · Cited by 68 · cited 1× · see citing works
“In addition, ASB has high comorbidity with other psychiatric traits and maladaptive behaviors.(4,5) Therefore, identification of the causal mechanisms that underlie ASB is important to identify preventionandtreatmentmodalities.”
BackgroundDouglas, K., Chan, G., Gelernter, J. E., Arias, A. J., Anton, R. F., Poling, J. C., Farrer, L. A., & Kranzler, H. R. (2011) · Psychiatric Genetics · doi:10.1097/ypg.0b013e3283457c15 · Cited by 66 · see citing works
Self-citationGenome-wide association study of behavioral disinhibition in a selected adolescent sample
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Self-citationPingault, J., Rijsdijk, F. V., Zheng, Y., Plomin, R. J., & Viding, E. M. (2015) · Scientific Reports · doi:10.1038/srep10053 · Cited by 42 · see citing works
Self-citationA unified crime theory: The evolutionary taxonomy
Boutwell, B. B., Barnes, J. C., Beaver, K. M., Haynes, R. D., Nedelec, J. L., & Gibson, C. L. (2015) · Aggression and Violent Behavior · doi:10.1016/j.avb.2015.09.003 · Cited by 36 · cited 1× · see citing works
“Of interest, ASB also correlatedwith reproductive traits, thus fitting to the unified evolutionary theory that Boutwell andcolleaguesproposed.(44)Their theorysuggests that increasedcriminality representsa faster lifehistoryapproach— one that would be significantly calibrated by genes.”
BackgroundSelf-citationLewis, G. J., & Plomin, R. J. (2015) · Psychological Medicine · doi:10.1017/s0033291715000173 · Cited by 33 · see citing works
Self-citationZheng, J., Erzurumluoglu, A. M., Elsworth, B. L., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/051094 · Cited by 22 · see citing works
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The genetic architecture of the human cerebral cortex
Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Ching, C. R. K., McMahon, M. A. B., et al. (2020) · Science · doi:10.1126/science.aay6690 · Cited by 876 · see citing works
Male antisocial behaviour in adolescence and beyond
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“For example, dozens of genetic loci have been discovered for schizophrenia ( > 100 loci) 50 , bipolar disorder (30 loci) 51 and major depressive disorders (44 loci) 52 , whereas for antisocial behavior 53 , AUDs 54 and opioid use disorders 8 , only a very small number of loci have been discovered.”
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An integrated analysis of genes and functional pathways for aggression in human and rodent models
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Self-citationThe neurobiology of human aggressive behavior: Neuroimaging, genetic, and neurochemical aspects
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“A recent genome-wide association study on antisocial behavior (Tielbeek et al., 2017) reported a genetic correlation (r) with educational attainment of −0.”
BackgroundTesting structural models of psychopathology at the genomic level
Waldman, I. D., Poore, H. E., Luningham, J. M., & Yang, J. (2020) · World Psychiatry · doi:10.1002/wps.20772 · Cited by 74 · see citing works
Self-citationA genetically informed Registered Report on adverse childhood experiences and mental health
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Self-citationGenetic influences on antisocial behavior: recent advances and future directions
Gard, A. M., Dotterer, H. L., & Hyde, L. W. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.07.013 · Cited by 72 · see citing works
“rts No genome-wide significant associations in the total sample, but there were suggestive sexdiscordant associations (for females, Chr 1: rs2764450, Chr 11: rs11215217, and for males, Chr X, rs41456347) [52].”
BackgroundInfluentialCabana‐Domínguez, J., Shivalikanjli, A., Noèlia Fernàndez-castillo, A., & Cormand, B. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109667 · Cited by 67 · see citing works
Freitag, C. M., Konrad, K., Stadler, C., Brito, S. A. D., Popma, A., Herpertz, S. C., Herpertz‐Dahlmann, B., Neumann, I. D., Kieser, M., Chiocchetti, A. G., et al. (2018) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-018-1172-6 · Cited by 71 · see citing works
Self-citationGenetic association study of childhood aggression across raters, instruments, and age
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“has an opposite sign than what was expected based on the literature [39].”
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Tielbeek, J. J., Uffelmann, E., Williams, B. S., Colodro‐Conde, L., Gagnon, É., Mallard, T. T., Levitt, B. E., Jansen, P. R., Johansson, A., Sallis, H., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01793-3 · Cited by 70 · see citing works
Self-citationWu, Y., Zhong, X., Lin, Y., Zhao, Z., Chen, J. C., Zheng, B., Li, J. J., Fletcher, J. M., & Lu, Q. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023184118 · Cited by 57 · see citing works
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“198 — — — Antisocial behaviour [52] 16,400 1.”
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Self-citationThe interaction of biopsychological and socio-environmental influences on criminological outcomes
Barnes, J. C., Raine, A., & Farrington, D. P. (2020) · Justice Quarterly · doi:10.1080/07418825.2020.1730425 · Cited by 47 · see citing works
“Other studies have relied on GWAs that have bearing on behaviors that are of direct interest to criminologists like the GWA on antisocial behavior (Tielbeek et al., 2017) and the GWA on aggressive behavior (Pappa et al., 2016).”
BackgroundOdintsova, V. V., Roetman, P. J., Ip, H. F., Pool, R., van der Laan, C. M., Tona, K., Vermeiren, R. R. J. M., & Boomsma, D. I. (2019) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000239 · Cited by 44 · see citing works
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Building causal knowledge in behavior genetics
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The Genetics of Externalizing Problems
Barr, P. B., & Dick, D. M. (2019) · Current topics in behavioral neurosciences · doi:10.1007/7854_2019_120 · Cited by 41 · see citing works
Self-citationChildhood Antisocial Behavior: A Neurodevelopmental Problem
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Neurobiological roots of psychopathy
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Self-citationThe Genetic and Neural Substrates of Externalizing Behavior
Baselmans, B. M. L., Hammerschlag, A. R., Noordijk, S., Ip, H. F., van der Zee, M. D., de Geus, E. J. C., Abdellaoui, A., Treur, J. L., & Ent, D. V. ‘. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.09.007 · Cited by 37 · see citing works
Self-citationvan Dongen, J., Hagenbeek, F. A., Suderman, M. J., Roetman, P. J., Sugden, K., Chiocchetti, A. G., Ismail, K., Mulder, R. H., Hafferty, J. D., Adams, M. J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00987-x · Cited by 38 · see citing works
Disruptive Behavior Disorders: The Challenge of Delineating Mechanisms in the Face of Heterogeneity
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Self-citationGenome‐wide association meta‐analysis of age at first cannabis use
Minică, C. C., Verweij, K. J. H., van der Most, P. J., Mbarek, H., Bernard, M., van Eijk, K. R., Lind, P. A., Liu, M. Z., Maciejewski, D. F., Palviainen, T., et al. (2018) · Addiction · doi:10.1111/add.14368 · Cited by 34 · see citing works
Self-citationDavies, P. T., Pearson, J. K., Cicchetti, D., Martin, M. J., & Cummings, E. M. (2019) · Development and Psychopathology · doi:10.1017/s0954579419000634 · Cited by 34 · see citing works
“Why might youth emotional insecurity mediate the moderating role of the hypodopaminergic genetic profile in associations between interparental conflict and their externalizing symptoms? As denoted in Table 1, low dopamine activity in the mesocorticolimbic complex is associated with alterations in emotion reactivity, r…”
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The promise and peril of the new science of social genomics
Adam, D. (2019) · Nature · doi:10.1038/d41586-019-03171-6 · Cited by 28 · see citing works
The collaborative study on the genetics of alcoholism: Genetics
Johnson, E. C., Salvatore, J. E., Lai, D., Merikangas, A. K., Nürnberger, J. I., Tischfield, J. A., Xuei, X., Kamarajan, C., Wetherill, L. F., Collaborators, C., et al. (2023) · Genes Brain & Behavior · doi:10.1111/gbb.12856 · Cited by 28 · see citing works
Self-citationGenetic correlation of antisocial behaviour with alcohol, nicotine, and cannabis use
Tielbeek, J. J., Vink, J. M., Polderman, T. J. C., Popma, A., Posthuma, D., & Verweij, K. J. H. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.03.020 · Cited by 28 · see citing works
Self-citationLinnér, R. K., Mallard, T., Barr, P. B., Sanchez-Roige, S., Madole, J., Driver, M. N., Poore, H., Grotzinger, A., Tielbeek, J., Johnson, E., et al. (2020) · bioRxiv · doi:10.1101/2020.10.16.342501 · Cited by 29 · see citing works
Self-citationThe Association of Oxytocin Receptor Gene (OXTR) Polymorphisms Antisocial Behavior: A Meta-analysis
Poore, H. E., & Waldman, I. D. (2020) · Behavior Genetics · doi:10.1007/s10519-020-09996-6 · Cited by 25 · see citing works
Self-citationJansen, L. M. C. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2022.101356 · Cited by 28 · see citing works
Vink, J. M., Treur, J. L., Pasman, J. A., & Schellekens, A. (2020) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32822 · Cited by 23 · see citing works
Are there sex differences in the etiology of youth antisocial behavior?
Burt, S. A., Slawinski, B. L., & Klump, K. L. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000324 · Cited by 23 · see citing works
Exploring the genetic correlations of antisocial behaviour and life history traits
Tielbeek, J. J., Barnes, J. C., Popma, A., Polderman, T. J. C., Lee, J. J., Perry, J. R. B., Posthuma, D., & Boutwell, B. B. (2018) · BJPsych Open · doi:10.1192/bjo.2018.63 · Cited by 23 · see citing works
Self-citationRuisch, I. H., Dietrich, A., Klein, M., Faraone, S. V., Oosterlaan, J., Buitelaar, J. K., & Hoekstra, P. J. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0608-0 · Cited by 23 · see citing works
Self-citationOverbeek, G. J., Creasey, N., Wesarg, C., Huijzer-Engbrenghof, M., & Spencer, H. (2020) · New Directions for Child and Adolescent Development · doi:10.1002/cad.20362 · Cited by 21 · see citing works
Li, H., & Cao, Y. (2021) · Current Psychology · doi:10.1007/s12144-021-01549-2 · Cited by 20 · see citing works
Jansen, A. G., Jansen, P. R., Savage, J. E., Kraft, J., Skarabis, N., Polderman, T. J. C., & Dieleman, G. C. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13370 · Cited by 19 · see citing works
“This overlap has been described for MDD and anxiety (Tiller, 2013), ADHD, ASD, tic disorders and obsessive compulsive disorder (OCD; Huisman-van Dijk, van de Schoot, Rijkeboer, Mathews, & Cath, 2016).”
MethodSelf-citationRuisch, I. H., Dietrich, A., Glennon, J. C., Buitelaar, J. K., & Hoekstra, P. J. (2019) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0964-5 · Cited by 19 · see citing works
COLOCdb: a comprehensive resource for multi-model colocalization of complex traits
Pan, S., Kang, H., Liu, X., Li, S., Yang, P., Wu, M., Yuan, N., Lin, S., Zheng, Q., & Jia, P. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad939 · Cited by 24 · see citing works
“…Catalog ( 16 ), Social Sciences Genetic Association Consortium (SSGA C) ( 17 , 18 ), Genetics of Personality Consortium (GPC) ( 19 ), Broad ABC ( 20 ), International Cannabis Consortium (ICC) ( 21 ,22 ), The Lettre Lab ( 23 ), Imaging Genomics analysis lab (BIG-KP) ( 24 ), Biostatistics and the…”
BackgroundTorrico, B., Antón-Galindo, E., Fernàndez‐Castillo, N., Francàs, E. R., Ghorbani, S., Pineda-Cirera, L., Amaia Hervas, G., Rueda, I., Moreno, E., Fullerton, J. M., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9061851 · Cited by 19 · see citing works
“ADHD: attention-deficit hyperactivity disorder; ASB: antisocial behaviour; ASD: autism spectrum disorder; BD: bipolar disorder; MDD: major depression disorder; OCD: obsessive-compulsive disorder; SCZ: schizophrenia.”
BackgroundNedic Erjavec, G., Tudor, L., Nikolac Perkovic, M., Podobnik, J., Dodig Curkovic, K., Curkovic, M., Svob Strac, D., Cusek, M., Bortolato, M., & Pivac, N. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110542 · Cited by 18 · see citing works
Teeuw, J., Mota, N. R., Klein, M., Blankenstein, N. E., Tielbeek, J. J., Jansen, L. M. C., Franke, B., & Pol, H. E. H. (2023) · Neuroscience Applied · doi:10.1016/j.nsa.2023.101128 · Cited by 15 · see citing works
“…behaviors in children and adults (Baselmans et al., 2021; Demontis et al., 2021; Ip et al., 2021; Karlsson Linn (cid:1) er et al., 2021; Tielbeek et al., 2017, 2021; Watanabe et al., 2019); similarly, GWAS for brain structure and function across the lifespan, including longitudinal…”
InfluentialSelf-citationGeneralized genetic liability to substance use disorders
Miller, A. P., Bogdan, R., Arpana Agrawal, A., & Hatoum, A. S. (2024) · Journal of Clinical Investigation · doi:10.1172/jci172881 · Cited by 20 · see citing works
“Specifically, GWAS of common externalizing traits and disorders such as antisocial behavior (115, 116), conduct and oppositional defiant disorder (117), and trait aggression (118, 119) were not included in this genetic model (largely due to their smaller sample sizes) but demonstrate moderate to…”
Wang, Y., Karstoft, K., Nievergelt, C. M., Maihofer, A. X., Stein, M. B., Ursano, R. J., Bybjerg‐Grauholm, J., Bækvad‐Hansen, M., HOUGAARD, D. M., Andreassen, O. A., et al. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.070 · Cited by 16 · see citing works
Baskin-Sommers, A., Viding, E., Barber, M., Ruiz, S. G., Paskewitz, S., & Hyde, L. W. (2024) · Aggression and Violent Behavior · doi:10.1016/j.avb.2024.102001 · Cited by 10 · see citing works
“…of nearly 90,000 individuals) returned very few ‘hits ’ , and these were in genes previously associated with educational attainment (ST3GAL3, PCDH7, IPO13) accounting for less than 1 % of variance in aggression (Gard et al., 2019; Ip et al., 2021; Tielbeek et al., 2017; Viding & McCrory, 2012).”
BackgroundSelf-citationTesli, N., Jaholkowski, P., Haukvik, U. K., Jangmo, A., Haram, M., Rokicki, J., Friestad, C., Tielbeek, J. J., Næss, Ø., Skardhamar, T., et al. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2023.115628 · Cited by 14 · see citing works
Self-citationBiosocial Criminology: History, Theory, Research Evidence, and Policy
Bedoya, A., & Portnoy, J. (2022) · Victims & Offenders · doi:10.1080/15564886.2022.2133035 · Cited by 21 · see citing works
“Heritability estimates of antisocial behavior based on polygenic risk score analysis have been reported to be low, but with more research this estimate is expected to rise to 50% (from 5–6%; Salvatore et al., 2015; Tielbeek et al., 2017).”
BackgroundQadeer, M. I., Amar, A., Huang, Y., Min, E., Galfalvy, H., Hasnain, S., & Mann, J. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-81198-4 · Cited by 14 · see citing works
Antón-Galindo, E., Cabana-Domínguez, J., Torrico, B., Corominas, R., Cormand, B., & Fernàndez-Castillo, N. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1293663 · Cited by 13 · see citing works
Li, S., Meng, J., Liu, Q., Huo, T., Zhu, X., Li, Y., Ren, Z., Wang, X., & Qiu, J. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.05.055 · Cited by 14 · see citing works
Womack, S. R., Clifford, S., Wilson, M. N., Shaw, D. S., & Lemery‐Chalfant, K. (2021) · Behavior Genetics · doi:10.1007/s10519-021-10069-5 · Cited by 12 · see citing works
Genetic Association Study of Childhood Aggression across raters, instruments and agePreprint
Ip, H. F., van der Laan, C. M., Krapohl, E. M. L., Brikell, I., Sánchez‐Mora, C., Nolte, I. M., Pourcain, B. S., Bolhuis, K., Palviainen, T., Zafarmand, M. H., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/854927 · Cited by 12 · see citing works
Self-citationA Family-Based Genome Wide Association Study of Externalizing Behaviors
Barr, P. B., Salvatore, J. E., Wetherill, L. F., Anokhin, A. P., Chan, G., Edenberg, H. J., Samuel Kuperman, C., Meyers, J. L., Nürnberger, J. I., Bernice Porjesz, A., et al. (2020) · Behavior Genetics · doi:10.1007/s10519-020-09999-3 · Cited by 14 · see citing works
Self-citationSah, I., Yükseloğlu, E. H., Kocabaşoğlu, N., et al. (2021) · Molecular Biology Reports · doi:10.1007/s11033-021-06137-y · Cited by 11 · see citing works
A preliminary transcriptomic analysis of the orbitofrontal cortex of antisocial individuals
Piras, I. S., Braccagni, G., Huentelman, M. J., & Bortolato, M. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14283 · Cited by 10 · see citing works
“11 Given the well-documented role of serotonin in modulating aggression, 12 most studies have focused on genes related to this neurotransmitter system, particularly on MAOA (monoamine oxidase A), which encodes the primary enzyme responsible for its degradation.”
BackgroundComorbidity of bipolar I disorder and conduct disorder: a familial risk analysis
Wozniak, J. R., Wilens, T. E., DiSalvo, M., Farrell, A., Wolenski, R. A., Faraone, S. V., & Biederman, J. (2019) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13013 · Cited by 10 · see citing works
Self-citationBurt, S., Slawinski, B. L., Carsten, E. E., Harden, K., Hyde, L. W., & Klump, K. (2019) · Psychological Medicine · doi:10.1017/s0033291719000771 · Cited by 7 · see citing works
Liu, H., Motz, R. T., Tanksley, P. T., Barnes, J. C., & Harris, K. M. (2021) · Journal of Developmental and Life-Course Criminology · doi:10.1007/s40865-021-00166-8 · Cited by 10 · see citing works
Vyas, S., Constantino, J. N., & Baldridge, D. (2019) · Molecular Case Studies · doi:10.1101/mcs.a004291 · Cited by 10 · see citing works
“2008) and are presumed to be a function of polygenic liability (Dick et al. 2011; Rautiainen et al. 2016; Tielbeek et al. 2017).”
BackgroundInfluentialWells, J. (2021) · Wiley eBooks · doi:10.1002/9781119111931.ch108 · Cited by 13 · see citing works
Mortality in adult children of parents with alcohol use disorder: a nationwide register study
Westman, J., Jayaram‐Lindström, N., Kane, K., Franck, J., & Gissler, M. (2022) · European Journal of Epidemiology · doi:10.1007/s10654-022-00883-4 · Cited by 10 · see citing works
“Other disorders associated with alcohol abuse, such as anxiety and “antisocial or undercontrolled behavior” [5] have a heritable component [49, 50] and are themselves associated with increased mortality [51, 52].”
BackgroundShedding Light on Antisocial Behavior Through Genetically Informed Research
Pezzoli, P., McCrory, E. J. P., & Viding, E. M. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-021524-043650 · Cited by 13 · see citing works
Self-citationTeeuw, J., Klein, M., Mota, N. R., Brouwer, R. M., Ent, D. V. ‘., Al-Hassaan, Z., Franke, B., Boomsma, D. I., & Pol, H. E. H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063176 · Cited by 8 · see citing works
The genetics of human fertility.
Kim, Y., & Lee, J. J. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.07.011 · Cited by 6 · see citing works
“Others have questioned the general applicability of this finding, particularly for high- Genetic correlation References Yes [6 ,15,19,20,21 ] Yes [22–25] No [15,27] Yes [29] Yes [6 ,33] No [6 ,33] Yes [6 ,33] Yes [19,33,34] No [35,36] No [37–39] Yes [6 ,41 ] No [43,44,46] No [45,46] ing a significant genetic correlati…”
BackgroundHowarth, E., Szott, I. D., Witham, C. L., Wilding, C. S., & Bethell, E. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288108 · Cited by 9 · see citing works
Preempting the Development of Antisocial Behavior and Psychopathic Traits.
Junewicz, A., & Billick, S. B. (2021) · PubMed · doi:10.29158/jaapl.200060-20 · Cited by 9 · see citing works
Deters, R. K., Ruisch, I. H., Faraone, S. V., Hartman, C. A., Luman, M., Franke, B., Oosterlaan, J., Buitelaar, J. K., Naaijen, J., Dietrich, A., et al. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.07.182 · Cited by 8 · see citing works
Self-citationDemontis, D., Walters, R., Rajagopal, V., Waldman, I., Grove, J., Als, T., Dalsgaard, S., Ribasés, M., Grauholm, J., Bækvad-Hansen, M., et al. (2019) · bioRxiv · doi:10.1101/791160 · Cited by 6 · see citing works
Self-citationDinkelbach, L., Peters, T., Grasemann, C., Hinney, A., & Hirtz, R. (2025) · Psychological Medicine · doi:10.1017/s0033291725000352 · Cited by 6 · see citing works
“…et al., 2021; Jami et al., 2022; Johnson et al., 2020; Karlsson Linnér et al., 2019; Karlsson Linnér et al., 2021; Mills et al., 2021; Nagel, Jansen, et al., 2018; Otowa et al., 2016; Tielbeek et al., 2017; Van den Berg et al., 2016; Walters et al., 2018; Williams et al., 2023; Wray et al., 2018).”
Epigenome-Wide Association Study of CpG Methylation in Aggressive Behavior
Borinskaya, S. A., Rubanovich, A. V., Larin, A. K., Kazantseva, A. V., Davydova, Y. D., Generozov, E. V., Хуснутдинова, Э. К., & Yankovsky, N. K. (2021) · Russian Journal of Genetics · doi:10.1134/s1022795421120048 · Cited by 7 · see citing works
Genetics and epigenetics of human aggression
Odintsova, V. V., Hagenbeek, F. A., van der Laan, C. M., van de Weijer, S. G. A., & Boomsma, D. I. (2023) · Handbook of clinical neurology · doi:10.1016/b978-0-12-821375-9.00005-0 · Cited by 11 · see citing works
Davis, C. N., Khan, Y., Toikumo, S., Jinwala, Z., Boomsma, D. I., Levey, D. F., Gelernter, J. E., Kember, R. L., & Kranzler, H. R. (2025) · Psychological Medicine · doi:10.1017/s0033291725000856 · Cited by 7 · see citing works
“…general risk tolerance [Risk; n = 431,126], number of sexual partners [NumSex; n = 370,711; Karlsson Linnér et al., 2019; Karlsson Linnér et al., 2021], antisocial behavior [ASB; n = 16,400; Tielbeek et al., 2017], and automobile speeding propensity [n = 404,291; Karlsson Linnér et al., 2019]).”
Self-citationMotz, R. T., Tanksley, P. T., Liu, H., Baye, T. M., & Barnes, J. C. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.09.008 · Cited by 7 · see citing works
“By conducting what are known as genome-wide association studies (GWAS), researchers have successfully identified associations between genetic variants and complex traits such as educational attainment [38], subjective well-being [39], depression [40], antisocial behavior [41], and intelligence [42].”
BackgroundThe Genome-Wide Study of Human Social Behavior and Its Application in Sociology
Tanksley, P. T., Motz, R. T., Kail, R. M., Barnes, J. C., & Liu, H. (2019) · Frontiers in Sociology · doi:10.3389/fsoc.2019.00053 · Cited by 7 · see citing works
“…et al., 2016a), attention-deficit/hyperactivity disorder (ADHD) (Demontis et al., 2019), aggression (Pappa et al., 2016), antisocial behavior (Tielbeek et al., 2017), tobacco, and alcohol use (Liu et al., 2019), and educational attainment (Rietveld et al., 2013a; Okbay et al., 2016b; Lee et…”
BackgroundWhittington, R., McGuire, J., & Peres, M. F. T. (2020) · Cambridge University Press eBooks · doi:10.1017/9781139086486 · Cited by 7 · see citing works
The Effect of MAOA and Stress Sensitivity on Crime and Delinquency: A Replication Study
Christ, C. C., Schwartz, J. A., Stoltenberg, S. F., Brauer, J. R., & Savolainen, J. (2018) · Journal of Contemporary Criminal Justice · doi:10.1177/1043986218770001 · Cited by 7 · see citing works
“Concerns with insufficient statistical power underscore the need for genome-wide association studies (GWAS) and the use of polygenic risk scores (PRS) over cG × E studies to investigate the genetic architecture of complex traits and behaviors (Belsky et al., 2016; Tielbeek et al., 2017).”
BackgroundPhenotypic and genetic markers of psychopathology in a population-based sample of older adults
Gard, A. M., Ware, E. B., Hyde, L. W., Schmitz, L., Faul, J. D., & Mitchell, C. M. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01354-2 · Cited by 7 · see citing works
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“Still, we found that the collective effect across all of the included variants (typically referred to as “SNP heritability”) explained roughly 5% of the total variation in ASB [16], which is in line with meta-analyses of the ACTION [17] and EAGLE [18] consortium.”
BackgroundResultSelf-citationAcland, E. L., Pocuca, N., Paquin, S., Boivin, M., Ouellet-Morin, I., Andlauer, T. F. M., Gouin, J. P., Côté, S. M., Tremblay, R. E., Geoffroy, M., et al. (2025) · Development and Psychopathology · doi:10.1017/s095457942400004x · Cited by 6 · see citing works
Langevin, S., Mascheretti, S., Côté, S., Vitaro, F., Boivin, M., Turecki, G., Tremblay, R., & Ouellet-Morin, I. (2018) · British Journal of Psychiatry · doi:10.1192/bjp.2018.251 · Cited by 4 · see citing works
van de Weijer, S. G. A., & Moneva, A. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100249 · Cited by 6 · see citing works
Recent advances in genetics of aggressive behavior
Davydova, Y. D., Litvinov, S., Enikeeva, R. F., Malykh, S. B., & Хуснутдинова, Э. К. (2018) · Vavilov Journal of Genetics and Breeding · doi:10.18699/vj18.415 · Cited by 6 · see citing works
Neurodevelopmental Disorders: Attention-Deficit/Hyperactivity Disorder
Newcorn, J. H., Krone, B., Coghill, D., & Halperin, J. M. (2023) · Springer eBooks · doi:10.1007/978-3-030-42825-9_64-1 · Cited by 5 · see citing works
Boutwell, B. B., & Adams, C. D. (2020) · Journal of Experimental Criminology · doi:10.1007/s11292-020-09436-9 · Cited by 5 · see citing works
Beyond a Crime Gene: Genetic Literacy and Correctional Orientation
Graham, A., Barnes, J. C., Liu, H., & Cullen, F. T. (2021) · American Journal of Criminal Justice · doi:10.1007/s12103-020-09595-5 · Cited by 5 · see citing works
Wang, F. L., Bountress, K. E., Lemery‐Chalfant, K., et al. (2022) · Prevention Science · doi:10.1007/s11121-022-01474-1 · Cited by 5 · see citing works
- Authors
- Tielbeek, J. J., Johansson, A., Polderman, T. J. C., Rautiainen, M.-R., Jansen, P., Taylor, M., Tong, X., Lu, Q., Burt, A. S., Tiemeier, H., Viding, E., Plomin, R., Martin, N. G., Heath, A. C., Madden, P. A. F., Montgomery, G., Beaver, K. M., Waldman, I., Gelernter, J., Kranzler, H. R., Farrer, L. A., Perry, J. R. B., Munafò, M., LoParo, D., Paunio, T., Tiihonen, J., Mous, S. E., Pappa, I., de Leeuw, C., Watanabe, K., Hammerschlag, A. R., Salvatore, J. E., Aliev, F., Bigdeli, T. B., Dick, D., Faraone, S. V., Popma, A., Medland, S. E., Posthuma, D., & for the Broad Antisocial Behavior Consortium collaborators
- Affiliations
- QIMR Berghofer Medical Research Institute (AU)
- Åbo Akademi University (FI)
- Amsterdam Neuroscience (NL)
- University of Helsinki (FI)
- Erasmus MC (NL)
- University of Bristol (GB)
- Michigan State University (US)
- Department of Psychology, Michigan State University, East Lansing
- University College London (GB)
- Washington University in St. Louis (US)
- Florida State University (US)
- Emory University (US)
- Veterans Health Administration (US)
- Philadelphia VA Medical Center (US)
- Boston University (US)
- University of Cambridge (GB)
- Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, England
- University of Eastern Finland (FI)
- Erasmus MC - Sophia Children’s Hospital (NL)
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Virginia Commonwealth University (US)
- Department of African American Studies, Virginia Commonwealth University, Richmond
- SUNY Upstate Medical University (US)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Tielbeek, Jorim J.
- ORCID
- Tielbeek, Jorim J.
- Johansson, Ada
- Polderman, Tinca J. C.
- Jansen, Philip
- Taylor, Michelle
- Tong, Xiaoran
- Lu, Qing
- Tiemeier, Henning
- Viding, Essi
- Plomin, Robert
- Martin, Nicholas G.
- Heath, Andrew C.
- Madden, Pamela A. F.
- Montgomery, Grant
- Beaver, Kevin M.
- Waldman, Irwin
- Gelernter, Joel
- Kranzler, Henry R.
- Farrer, Lindsay A.
- Perry, John R. B.
- LoParo, Devon
- Paunio, Tiina
- Tiihonen, Jari
- Mous, Sabine E.
- Pappa, Irene
- Watanabe, Kyoko
- Hammerschlag, Anke R.
- Salvatore, Jessica E.
- Bigdeli, Tim B.
- Dick, Danielle
- Faraone, Stephen V.
- Popma, Arne
- Medland, Sarah E.
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2017-12-01
- Volume
- 74
- Issue
- 12
- Pages
- 1242
- ISSN
- 2168-622X (ISSN-L)
- PMC
- PMC6309228
- OpenAlex
- W2762265603
- Cited by
- 194
- References
- 56
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 14 · 2023: 19 · 2022: 17 · 2021: 28 · 2020: 57 · 2019: 24 · 2018: 20
- FWCI
- 34.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Explore Bristol Research (publishedVersion, other-oa)
- VU Research Portal (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UEF eRepo (University of Eastern Finland) (acceptedVersion)
- Bristol Research (University of Bristol) (submittedVersion, other-oa)
- UTUPub (University of Turku) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Åbo Akademi University Research Portal (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- WOS
- Funders
- Suomen Kulttuurirahasto
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO 480‐05‐003, 480- 05-003, VICI 453-14-005, 406-12-131, NWO VICI 453-14-005, 453-14-005)
- Waldemar von Frenckells Stiftelse
- National Institutes of Health
- Medical Research Council (MC_UU_12015/2, MR/M021475/1, MC_PC_15018)
- National Health and Medical Research Council (1103623)
- National Institute on Alcohol Abuse and Alcoholism (F32AA022269, K01AA024152)
- National Institute on Drug Abuse (K01DA033346)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Keywords
- antisocial behavior, genetic architecture, heritability, single nucleotide polymorphisms, genetic risk variants, pleiotropy, polygenic risk score, conduct problems, conduct disorder, substance dependence, educational attainment, European ancestry, psychiatric traits, candidate genes
- MeSH terms
- Adolescent, Adult, Antisocial Personality Disorder, Child, Environment, Female, Finland, Humans, Male, Middle Aged, Sex Factors, Genetic Variation, Conduct Disorder, Multifactorial Inheritance, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-09-28.
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