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Genetic risk factors correlate with county-level violent crime rates and collective disadvantage

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... 36,37 Taken together, the current evidence underlines the importance of adequately addressing unmeasured confounding in studies of adverse outcomes in released prisoners and possibly other high-risk populations. Given the relative lack of such controls in the contemporary criminological literature examining the consequences of adverse neighborhood conditions, 38,39 it could be the case, as some critics have argued, 18,40,41 that such studies may have overemphasized the etiological role played by socioeconomic factors in explaining why violent criminality and other antisocial behaviors tend to aggregate within specific types of geographical areas. ...
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Released prisoners diagnosed with psychotic disorders have elevated rates of violent reoffending risk and their exposure to adverse neighborhood environments may contribute to this risk. We identified all released sentenced prisoners in Sweden between 2003 and 2013 (n = 47 226) and followed them up for a median period of 4.4 years. We identified prisoners who had ever been diagnosed with a psychotic disorder (n = 3782) or prescribed antipsychotics (n = 7366). We examined 3 neighborhood characteristics: income, proportion of welfare recipients, and crime rate. By fitting generalized mixed-effects and negative bino-mial regression models and adopting within-individual designs that controlled for all time-invariant unmeasured confounders within each individual, we estimated neighborhood intraclass correlations (ICCs) and associations between specific neighborhood characteristics and violent reoffending. Neighborhood factors explained 13.5% (95% CI: 10.9%; 16.6%) of the violent reoffending risk among released prisoners diagnosed with psychotic disorders. This contrasted with 4.3% (95% CI: 3.7%; 4.9%) in all released prisoners. However, after controlling for unmeasured confounding, these estimates were not statistically significant (ICC psychotic disorders = 0.9%; 95% CI: −0.8%; 2.3%; ICC all prisoners = 0.3%; 95% CI: −0.02%; 0.6%). Similarly, none of the within-individual correlations between the specific neighborhood factors and violent reoffending were significantly different from zero. We found consistent results when we investigated prisoners with other psychiatric and substance use disorders. These findings suggest that placing released prisoners with psychotic disorders in less deprived neighborhoods might not reduce their violent reoffending risk, which may also apply to other psychiatric disorders. The assessment , treatment, and community linkage of high-risk prisoners as a strategy to reduce reoffending needs further research.
... Individual level resilience was not considered. This latter point is significant since recent research has shown the importance of individual level genetic risk factors in predicting neighborhood level collective disadvantage (Barnes, Boutwell, & Beaver, 2013). It could be that other individual level genetic factors increase resilience among those residing in disadvantaged neighborhoods. ...
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Purpose: Drawing on theories from environmental criminology, this article identifies neighborhood-level characteristics that promote resiliency in neighborhoods in New Zealand with disadvantageous socioeconomic settings. Methods: We used neighborhood-level crime (2008-2010) and socio-economic data to develop a Crime Resilience Index for New Zealand (CRINZ) to quantify neighborhood level resilience to crime across the country. We then examined relationships between the index and a suite of built and social neighborhood-level characteristics. Results: Access to built environment factors generally decreased across neighborhoods stratified by resiliency. That is, resilient neighborhoods had decreased access to a range of healthcare, education, and living infrastructures. Very little difference was found in the social environment of high resilient and low resilient neighborhoods in New Zealand. Conclusions: Understanding why communities respond differently in similar environments can enable communities to respond better or more effectively to such stressful environments and consequently build resilience. Identifying 'place-specific' resilience factors can be effective in reducing crime in neighborhoods.
... Several polymorphisms that mediate the HPA axis, neurotransmission, immune response, brain development, serotonin synthesis, and other processes are also shown. Many of the polymorphisms, such as MAOA, SLC6A4, DRD4, OXTR, COMT, and others, are extensively studied in behavior genetics and in criminology and have been linked to an assortment of antisocial behavioral phenotypes (Barnes, Boutwell, & Beaver, 2013;Caspi et al., 2002Caspi et al., , 2008Reif et al., 2007;Wu & Barnes, 2013). In addition, the environmental pathogens that appear in Table 1 include a range of deprivations (e.g., sexual abuse, physical abuse, antenatal exposure to depression, antenatal toxicity exposure, and others) that are commonly included in cycle of violence studies showing the intergenerational transmission of parental environmental traumas to offspring behavior. ...
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Research on epigenetic mechanisms is gaining traction, yet is poorly understood by criminologists and behavioral scientists. The current objective is to review relevant studies of interest to behavioral scientists who study crime, and to translate admittedly challenging scientific information into text that is digestible to the average criminologist. Using systematic search procedures the authors identified and reviewed 41 studies of epigenetic mechanisms in psychiatric and behavioral phenotypes among humans. Findings revealed significant epigenetic effects in an assortment of genes that are implicated in the etiology of depression, suicidality, callous-unemotional traits, and chronic and intergenerational aggressive behavior. Several polymorphisms that mediate the HPA axis, neurotransmission, immune response, brain development, serotonin synthesis, and other processes were found. Although prescriptive knowledge based on epigenetic findings to date is premature, epigenetics is a new and exciting scientific frontier not too different in spirit from Lamarck's observations centuries ago. Copyright © 2015 John Wiley & Sons, Ltd.
... The low-activity alleles of MAO-A interacts with maladaptive childhood environment and has been associated with aggression, violent delinquency, externalizing behavior, and lower inhibitory control (Brunner et al., 1993;Guo et al., 2008). Barnes et al. (2013) examined whether genetic risk factors (DAT1, DRD2, and DRD4) for antisocial behavior were predictive of exposure to disadvantage and violent crime measured at the county level. Data were drawn from the National Longitudinal Study of Adolescent Health; N = 2,212-2,268. ...
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Multiple scientific disciplines have weighed in with different viewpoints regarding the origins of criminal behavior among human beings. What is lacking, however, is a framework capable of uniting the theoretical viewpoints into a single overarching perspective. The current article offers such a framework. Drawing on a variety of influences, we argue that many types of crime can be understood in the evolutionary context of human life history. Along these lines, we present a framework capable of explaining different patterns of criminal offending both at the individual level as well as the macro-level. Although the current article offers only a starting point, the way forward in the study of crime should involve a multi-disciplinary, multilevel explanatory framework. The evolutionary taxonomy we propose represents a step in that direction.
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We propose a theory of development in which experience is directed by genotypes. Genotypic differences are proposed to affect phenotypic differences, both directly and through experience, via 3 kinds of genotype leads to environment effects: a passive kind, through environments provided by biologically related parents; an evocative kind, through responses elicited by individuals from others; and an active kind, through the selection of different environments by different people. The theory adapts the 3 kinds of genotype-environment correlations proposed by Plomin, DeFries, and Loehlin in a developmental model that is used to explain results from studies of deprivation, intervention, twins, and families.
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Family, twin, and adoption studies show attention deficit hyperactivity disorder (ADHD) to have a substantial genetic component. Although several studies have shown an association between ADHD and the 7-repeat allele of the dopamine D(4) receptor gene (DRD4), several studies have not. Thus, the status of the ADHD-DRD4 association is uncertain. Meta-analysis was applied to case-control and family-based studies of the association between ADHD and DRD4 to assess the joint evidence for the association, the influence of individual studies, and evidence for publication bias. For both the case-control and family-based studies, the authors found 1) support for the association between ADHD and DRD4, 2) no evidence that this association was accounted for by any one study, and 3) no evidence for publication bias. Although the association between ADHD and DRD4 is small, these results suggest that it is real. Further studies are needed to clarify what variant of DRD4 (or some nearby gene) accounts for this association.
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We have analyzed genetic data for 326 microsatellite markers that were typed uniformly in a large multiethnic population-based sample of individuals as part of a study of the genetics of hypertension (Family Blood Pressure Program). Subjects identified themselves as belonging to one of four major racial/ethnic groups (white, African American, East Asian, and Hispanic) and were recruited from 15 different geographic locales within the United States and Taiwan. Genetic cluster analysis of the microsatellite markers produced four major clusters, which showed near-perfect correspondence with the four self-reported race/ethnicity categories. Of 3,636 subjects of varying race/ethnicity, only 5 (0.14%) showed genetic cluster membership different from their self-identified race/ethnicity. On the other hand, we detected only modest genetic differentiation between different current geographic locales within each race/ethnicity group. Thus, ancient geographic ancestry, which is highly correlated with self-identified race/ethnicity--as opposed to current residence--is the major determinant of genetic structure in the U.S. population. Implications of this genetic structure for case-control association studies are discussed.
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There is a robust relationship between the experience of maltreatment in childhood and later antisocial behaviors amongst adolescents and adults. Animal and human studies suggest that variation in monoamine oxidase A (MAOA) genotype may moderate the effects of maltreatment. Self-reported conduct problems and criminal convictions amongst sibling-pairs from the National Longitudinal Study of Adolescent Health were tested for association with reports of maltreatment before and after the age of 12. MAOA promoter polymorphisms were tested for possible moderation effects. Maltreatment predicted conduct problems and criminal convictions. MAOA genotype did not have a significant moderating effect in any of the six analyses that were conducted. We did not replicate a previous report that MAOA polymorphisms moderated the relationship between maltreatment and conduct problems. There was, however, a non-significant trend in the predicted direction. Additional studies will be needed before firm conclusions can be drawn about this hypothesized genotype-environment interaction.
Article
To examine genetic and environmental influences on drinking in a nationally representative study of genetically informative adolescents followed into young adulthood. The average quantity of alcohol used per drinking episode during the past year was analyzed in 4432 youth assessed during adolescence (mean age of 16) and then 1 and 6 years later. The variance of quantity of alcohol consumed was decomposed into three components: additive genetic (a2), shared environmental (c2), non-shared environmental (e2). Four candidate genes were tested for association. Wave 1 a2-0.52e2-0.48, Wave 2 a2-0.28e2-0.72, Wave 3 a2-0.30e2-0.70. Genetic correlations between Waves 1 and 2 were 0.85, Waves 1 and 3 were 0.34. The DAT1 440 allele was associated at Wave 1 (p=0.007). DRD2 TaqI A1/A2 was associated at Wave 3 (p=0.007). DRD4 and 5HTT were not associated. The DAT1 and DRD2 polymorphisms accounted for 3.1% and 2.0% of the variation, respectively. Genetic influence on drinking behavior was common in adolescents longitudinally assessed 1 year apart, but was less correlated between these adolescents and their assessment as young adults at a subsequent time point. Polymorphisms in genes of the dopaminergic system appear to influence variation in drinking behavior.
Article
Traditional models of psychiatric epidemiology often assume that the relationship between individuals and their environment is unidirectional, from environment to person. Accumulating evidence from developmental and genetic studies has made this perspective increasingly untenable. Literature search using Medline, PsycINFO, article references and contact with experts to identify all papers examining the heritability of measures of environments of relevance to psychiatry/psychology. We identified 55 independent studies organized into seven categories: general and specific stressful life events (SLEs), parenting as reported by child, parenting reported by parent, family environment, social support, peer interactions, and marital quality. Thirty-five environmental measures in these categories were examined by at least two studies and produced weighted heritability estimates ranging from 7% to 39%, with most falling between 15% and 35%. The weighted heritability for all environmental measures in all studies was 27%. The weighted heritability for environmental measures by rating method was: self-report 29%, informant report 26%, and direct rater or videotape observation (typically examining 10 min of behavior) 14%. Genetic influences on measures of the environment are pervasive in extent and modest to moderate in impact. These findings largely reflect 'actual behavior' rather than 'only perceptions'. Etiologic models for psychiatric illness need to account for the non-trivial influences of genetic factors on environmental experiences.
Article
Families, primarily female-headed minority households with children, living in high-poverty public housing projects in five U.S. cities were offered housing vouchers by lottery in the Moving to Opportunity program. Four to seven years after random assignment, families offered vouchers lived in safer neighborhoods that had lower poverty rates than those of the control group not offered vouchers. We find no significant overall effects of this intervention on adult economic self-sufficiency or physical health. Mental health benefits of the voucher offers for adults and for female youth were substantial. Beneficial effects for female youth on education, risky behavior, and physical health were offset by adverse effects for male youth. For outcomes that exhibit significant treatment effects, we find, using variation in treatment intensity across voucher types and cities, that the relationship between neighborhood poverty rate and outcomes is approximately linear. Copyright The Econometric Society 2007.
Biomarkers in Wave III of the Add Health Study. The Add Health Biomarker Team
  • M S Cohen
  • Q Feng
  • F A Florey
  • C A Ford
  • K M Harris
  • J K Hewitt
Cohen, M. S., Feng, Q., Florey, F. A., Ford, C. A., Harris, K. M., Hewitt, J. K., et al. (n.d.). Biomarkers in Wave III of the Add Health Study. The Add Health Biomarker Team.
Social stratification, testosterone, and male sexuality
  • T D Kemper
Kemper, T. D. (1994). Social stratification, testosterone, and male sexuality. In L. Ellis (Ed.), Social Stratification and Socioeconomic Inequality, volume 2, Reproductive and Interpersonal Aspects of Dominance and Status (pp. 47-61). Westport, CT: Praeger.
The National Longitudinal Study of Adolescent Health: Research Design. [www document] URL: http://www.cpc.unc The National Longitudinal Study of Adolescent Health (Add Health) Twin Data
  • K M Harris
  • F Florey
  • J Tabor
  • P S Bearman
  • J Jones
  • J R Udry
Harris, K. M., Florey, F., Tabor, J., Bearman, P. S., Jones, J., & Udry, J. R. (2003). The National Longitudinal Study of Adolescent Health: Research Design. [www document]. URL: http://www.cpc.unc.edu/projects/addhealth/design Harris, K. M., Halpern, C. T., Smolen, A., & Haberstick, B. C. (2006). The National Longitudinal Study of Adolescent Health (Add Health) Twin Data. Twin Research and Human Genetics, 9, 988–997.
Chapel Hill, NC: Carolina Population Center
  • Iii Wave
Wave III, 2001-2002; Wave IV, 2007-2009. [machinereadable data file and documentation]. Chapel Hill, NC: Carolina Population Center, University of North Carolina at Chapel Hill.