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5 - The Behavioral Genetics of Aggression and Violent Behavior

from Part II - Biosocial Foundations of Violence and Aggression

Published online by Cambridge University Press:  30 July 2018

By
J. C. Barnes  and
Jorim Tielbeek
Edited by
Alexander T. Vazsonyi ,
Daniel J. Flannery  and
Matt DeLisi
Alexander T. Vazsonyi
Affiliation:
University of Kentucky
Daniel J. Flannery
Affiliation:
Case Western Reserve University, Ohio
Matt DeLisi
Affiliation:
Iowa State University
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The Cambridge Handbook of Violent Behavior and Aggression , pp. 83 - 105
Publisher: Cambridge University Press
Print publication year: 2018

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References

Barnes, J. C. & Boutwell, B. B. (2013). A demonstration of the generalizability of twin-based research on antisocial behavior. Behavior Genetics, 43, 120–131.CrossRefGoogle ScholarPubMed
Barnes, J. C., Boutwell, B. B., & Beaver, K. M. (2016). Contemporary biosocial criminology: A systematic review of the literature, 2000–2012. In Piquero, A. R. (Ed.), The handbook of criminological theory. New York: Wiley-Blackwell.Google Scholar
Barnes, J. C., Wright, J. P., Boutwell, B. B., Schwartz, J. A., Connolly, E. J., Nedelec, J. L., & Beaver, K. M. (2014). Demonstrating the validity of twin research in criminology. Criminology, 52, 588–626.Google Scholar
Bearden, C. E. & Freimer, N. B. (2006). Endophenotypes for psychiatric disorders: ready for primetime? Trends in Genetics, 22, 306–313.CrossRefGoogle ScholarPubMed
Beaver, K. M., Wright, J. P., DeLisi, M., & Vaughn, M. G. (2008). Desistance from delinquency: The marriage effect revisited and extended. Social Science Research, 37, 736–752.CrossRefGoogle ScholarPubMed
Berger, B., Gaspar, P., & Verney, C. (1991). Dopaminergic innervation of the cerebral cortex: unexpected differences between rodents and primates. Trends in Neuroscience, 14, 21–27.CrossRefGoogle ScholarPubMed
Bouchard, T. J., Lykken, D. T., McGue, M., Segal, N. L., & Tellegen, A. (1990). Sources of human psychological differences: The Minnesota Study of Twins Reared Apart. Science, 250, 223–228.Google Scholar
Brevik, E. J., van Donkelaar, M. M., Weber, H., Sánchez-Mora, C. Jacobs, C., Rivero, O., … & Cormand, B. (2016). Genome-wide analyses of aggressiveness in attention-deficit hyperactivity disorder. American Journal of Medical Genetics Part B, 171:B, 733–747.CrossRefGoogle Scholar
Brunner, H. G., Nelen, M., Breakefield, X. O., Ropers, H. H., & van Oost, B. A. (1993). Abnormal behavior associated with a point mutation in the structural gene for monoamine oxidase A. Science, 262, 578–580.Google Scholar
Buckholtz, J. W., Callicott, J. H., Kolachana, B., Hariri, A. R., Goldberg, T. E., Genderson, M., … & Meyer-Lindenberg, A. (2008). Genetic variation in MAOA modulates ventromedial prefrontal circuitry mediating individual differences in human personality. Molecular Psychiatry, 13, 313–324.CrossRefGoogle ScholarPubMed
Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., … & Consortium, S.W.G. of the P.G. (2015). LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nature Genetics, 47, 291–295.Google Scholar
Burt, S. A. (2009). Are there meaningful etiological differences within antisocial behavior? Results of a meta-analysis. Clinical Psychology Review, 29, 163–178.Google Scholar
Burt, S. A. (2016). Editorial: Chickens and eggs – how should we interpret environment-behavior associations? Journal of Child Psychology and Psychiatry, 57, 113–115.Google Scholar
Button, K. S., Ioannidis, J. P., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S., & Munafò, M. R. (2013). Power failure: Why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14, 365–376.Google Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., … & Poulton, R. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297, 851–854.CrossRefGoogle ScholarPubMed
Chabris, C. F., Lee, J. J., Cesarini, D., Benjamin, D. J., & Laibson, D. I. (2015). The fourth law of behavior genetics. Current Directions in Psychological Science 24, 304–312.Google Scholar
Charney, E. (2012). Behavior genetics and postgenomics. Behavioral and Brain Sciences, 35, 331–410.Google Scholar
Charney, E. & English, W. (2012). Candidate genes and political behavior. American Political Science Review, 106, 1–34.CrossRefGoogle Scholar
Chatterjee, N., Shi, J., & García-Closas, M. (2016). Developing and evaluating polygenic risk prediction models for stratified disease prevention. Nature Reviews Genetics, 17, 392–406.CrossRefGoogle ScholarPubMed
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
De Leeuw, C. A., Neale, B. M., Heskes, T., & Posthuma, D. (2016). The statistical properties of gene-set analysis. Nature Reviews Genetics, 17, 353–364.Google Scholar
Dick, D., Agrawal, A., Keller, M. C., Adkins, A., Aliev, F., Monroe, S., … & Sher, K. J. (2015). Candidate gene-environment interaction research: Reflections and recommendations. Perspectives on Psychological Sciences, 10, 37–59.Google Scholar
Dick, D. M., Krueger, R. F., Edwards, A., Agrawal, A., Lynskey, M., Lin, P., … & Almasy, L. (2011). Genome-wide association study of conduct disorder symptomatology. Molecular Psychiatry, 16, 800–808.Google Scholar
Dierick, H. A. & Greenspan, R. J. (2006). Molecular analysis of flies selected for aggressive behavior. Nature Genetics, 38, 1023–1031.Google Scholar
Dierick, H. A. & Greenspan, R. J. (2007). Serotonin and neuropeptide F have opposite modulatory effects on fly aggression. Nature Genetics, 39, 678–682.Google Scholar
Dudbridge, F. (2013). Power and predictive accuracy of polygenic risk scores. PLoS Genetics, 9, e1003348.Google Scholar
Duncan, L. E. & Keller, M. C. (2011). A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry. American Journal of Psychiatry, 168, 1041–1049.Google Scholar
Eichler, E. E., Flint, J., Gibson, G., Kong, A., Leal, S. M., Moore, J. H., & Nadeau, J. H. (2010). Missing heritability and strategies for finding the underlying causes of complex disease. Nature Reviews Genetics, 11, 446–450.Google Scholar
Euesden, J., Lewis, C. M., & O’Reilly, P. F. (2016). PRSice: Polygenic risk score software. http://PRSice.info.Google Scholar
Falconer, D. S. & Mackay, T. F. C. (1996). Introduction to quantitative genetics (4th ed.). New York: Pearson.Google Scholar
Fernàndez-Castillo, N. & Cormand, B. (2016). Aggressive behavior in humans: Genes and pathways identified through association studies. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 1–21.Google Scholar
Franke, A., McGovern, D. P., Barrett, J. C., Wang, K., Radford-Smith, G. L., Ahmad, T., … & Anderson, C. A. (2010). Genome-wide meta-analysis increases to 71 the number of confirmed Crohn’s disease susceptibility loci. Nature Genetics, 42, 1118–1125.Google Scholar
Gelman, A. & Loken, E. (2014). The statistical crisis in science. American Scientist, 102, 460–465.CrossRefGoogle Scholar
Gottesman, I. I. & Gould, T. D. (2003). The endophenotype concept in psychiatry: Etymology and strategic intentions. American Journal of Psychiatry, 160, 636–645.CrossRefGoogle ScholarPubMed
Higley, J., Mehlman, P. T., Taub, D. M., Higley, S. B., Suomi, S. J., Linnoila, M., & Vickers, J. H. (1992). Cerebrospinal fluid monoamine and adrenal correlates of aggression in free-ranging rhesus monkeys. Archives of General Psychiatry, 49, 436–441.CrossRefGoogle ScholarPubMed
Hill, W. G., Goddard, M. E., & Visscher, P. M. (2008) Data and theory point to mainly additive genetic variance for complex traits. PLoS Genetics, 4, e1000008.CrossRefGoogle ScholarPubMed
Hindorff, L. A., MacArthur, J., Morales, J., Junkins, H. A., Hall, P. N., Klemm, A. K., & Manolio, T. A. A Catalog of Published Genome-Wide Association Studies. Available at: www.genome.gov/gwastudies. Accessed November 1, 2017.CrossRefGoogle Scholar
Ioannidis, J. P. (2003). Genetic associations: False or true? Trends in Molecular Medicine, 9, 135–138.Google Scholar
Ioannidis, J. P. (2005). Why most published research findings are false. PLoS Medicine, 2, e124.CrossRefGoogle ScholarPubMed
Jorgenson, E. & Witte, J. S. (2006). A gene-centric approach to genome-wide association studies. Nature Reviews Genetics, 7, 885–891.CrossRefGoogle ScholarPubMed
Kendler, K. S. & Neale, M. C. (2010). Endophenotype: A conceptual analysis. Molecular Psychiatry, 15, 789–797.CrossRefGoogle ScholarPubMed
Khatri, P., Sirota, M., & Butte, A. J. (2012). Ten years of pathway analysis: Current approaches and outstanding challenges. PLoS Computational Biology 8, e1002375.Google Scholar
Lee, S. H., Wray, N. R., Goddard, M. E., & Visscher, P. M. (2011). Estimating missing heritability for disease from genome-wide association studies. American Journal of Human Genetics, 88, 294–305.Google Scholar
Lin, D., Boyle, M. P., Dollar, P., Lee, H., Perona, P., Lein, E. S., & Anderson, D. J. (2011). Functional identification of an aggression locus in the mouse hypothalamus. Nature, 470, 221–226.CrossRefGoogle ScholarPubMed
Lips, E. S., Cornelisse, L. N., Toonen, R. F., Min, J. L., Hultman, C. M., International Schizophrenia Consortium, … & Posthuma, D. (2012). Functional gene group analysis identifies synaptic gene groups as risk factor for schizophrenia. Molecular Psychiatry, 17, 996–1006.Google Scholar
Liu, G., Wang, Y., & Wong, L. (2010). FastTagger: An efficient algorithm for genome-wide tag SNP selection using multi-marker linkage disequilibrium. BMC Bioinformatics, 11, 66.Google Scholar
Liu, H. & Guo, G. (2016). Opportunities and challenges of big data for the social sciences: The case of genomic data. Social Science Research, 59, 13–22.CrossRefGoogle ScholarPubMed
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., … & Chakravarti, A. (2009). Finding the missing heritability of complex diseases. Nature, 461, 747–753.Google Scholar
Marsh, A. A., Finger, E. C., Fowler, K. A., Jurkowitz, I. T. N., Schechter, J. C., Yu, H. H., … & Blair, R. J. R. (2011). Reduced amygdala-orbitofrontal connectivity during moral judgments in youths with disruptive behavior disorders and psychopathic traits. Psychiatry Research: Neuroimaging, 194, 279–286.Google Scholar
Mason, D. A. & Frick, P. J. (1994). The heritability of antisocial behavior: A meta-analysis of twin and adoption studies. Journal of Psychopathology and Behavioral Assessment, 16, 301–323.Google Scholar
Merton, R. K. (1957). Priorities in scientific discovery: A chapter in the sociology of science. American Sociological Review, 22, 635–659.Google Scholar
Meyer-Lindenberg, A., Buckholtz, J. W., Kolachana, B., Hariri, A. R., Pezawas, L., Blasi, G., … & Egan, M., (2006). Neural mechanisms of genetic risk for impulsivity and violence in humans. Proceedings of the National Academy of Sciences, 103, 6269–6274.Google Scholar
Mootha, V. K., Lindgren, C. M., Eriksson, K. F., Subramanian, A., Sihag, S., Lehar, J., … & Houstis, N. (2003). PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nature Genetics, 34, 267–273.Google Scholar
Motzkin, J. C., Newman, J. P., Kiehl, K. A., & Koenigs, M. (2011). Reduced prefrontal connectivity in psychopathy. The Journal of Neuroscience, 31(48), 17348–17357.Google Scholar
Munafo, M. R., Stothart, G., & Flint, J. (2009). Bias in genetic association studies and impact factor. Molecular Psychiatry, 14, 119–120.Google Scholar
Nelson, R. J. & Trainor, B. C. (2007). Neural mechanisms of aggression. Nature Reviews Neuroscience, 8, 536–546.Google Scholar
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., … & Oskarsson, S. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature, 533(7604), 539–542.Google Scholar
Olivier, B. & Young, L. J. (2002). Animal models of aggression. Neuropsychopharmacology: The Fifth Generation of Progress, 118, 1699–1708.Google Scholar
Pappa, I., St Pourcain, B., Benke, K., Cavadino, A., Hakulinen, C., Nivard, M. G., … & Evans, D. M. (2016). A genome-wide approach to children’s aggressive behavior: The EAGLE consortium. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171, 562–572.Google Scholar
Pereira, T. V. & Ioannidis, J. P. (2011). Statistically significant meta-analyses of clinical trials have modest credibility and inflated effects. Journal of Clinical Epidemiology, 64, 1060–1069.Google Scholar
Plomin, R., DeFries, J. C., Knopik, V. S., & Neiderhiser, J. M. (2016). Top 10 replicated findings from behavioral genetics. Perspectives on Psychological Science 11, 3–23.CrossRefGoogle ScholarPubMed
Plomin, R., DeFries, J. C., Knopik, V. S., & Neiderhiser, J. M. (2013). Behavioral genetics (6th ed.). New York: Worth.Google Scholar
Polderman, T. J. C., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47, 702–709.Google Scholar
Preuss, T. M. (1995). Do rats have prefrontal cortex? The Rose-Woolsey-Akert program reconsidered. Journal of Cognitive Neuroscience, 7, 1–24.Google Scholar
Purcell, S. (2002). Variance components models for gene-environment interaction in twin analysis. Twin Research, 5, 554–571.CrossRefGoogle ScholarPubMed
Raine, A. (1993). The psychopathology of crime: Criminal behavior as a clinical disorder. San Diego, CA: Academic Press.Google Scholar
Rafter, N., Posick, C., & Rocque, M. (2016). The criminal brain: Understanding biological theories of crime. New York: New York University Press.Google Scholar
Rautiainen, M. R., Paunio, T., Repo-Tiihonen, E., Virkkunen, M., Ollila, H. M., Sulkava, S., … & Tiihonen, J. (2016). Genome-wide association study of antisocial personality disorder. Translational Psychiatry, 6, e883.Google Scholar
Rhee, S. H. & Waldman, I. D. (2002). Genetic and environmental influences on antisocial behavior: A meta-analysis of twin and adoption studies. Psychological Bulletin, 128, 490–529.Google Scholar
Risch, N. & Merikangas, K. (1996). The future of genetic studies of complex human diseases. Science, 273, 1516–1517.Google Scholar
Salvatore, J. E., Edwards, A. C., McClintick, J. N., Bigdeli, T. B., Adkins, A., Aliev, F., … & Nurnberger, J. I. (2015). Genome-wide association data suggest ABCB1 and immune-related gene sets may be involved in adult antisocial behavior. Translational Psychiatry, 5, e558.CrossRefGoogle ScholarPubMed
Schizophrenia Working Group of the Psychiatric Genomics Consortium, 2014. Biological insights from 108 schizophrenia-associated genetic loci. Nature, 511, 421–427.Google Scholar
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., … & Prokunina-Olsson, L. (2007). A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science, 316 (5829), 1341–1345.Google Scholar
Sham, P. C. & Purcell, S. M. (2014). Statistical power and significance testing in large-scale genetic studies. Nature Reviews Genetics, 15(5), 335–346.Google Scholar
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22, 1359–1366.Google Scholar
Smith, G. D. (2011). Epidemiology, epigenetics and the “gloomy prospect”: Embracing randomness in population health research and practice. International Journal of Epidemiology, 40, 537–562.Google Scholar
Sullivan, P. F. (2007). Spurious genetic associations. Biological Psychiatry, 61, 1121–1126.Google Scholar
Tielbeek, J. J., Johansson, A., Polderman, T. J. C., Rautiainen, M. R., Jansen, P., Taylor, M., … & Posthuma, D. (2017). Genome-wide association studies of a broad spectrum of antisocial behavior. JAMA Psychiatry, 74, 1242-1250.Google Scholar
TiChabelbeek, J. J., Medland, S. E., Benyamin, B., Byrne, E. M., Heath, A. C., Madden, P. A. F., … & Verweij, K. J. H. (2012). Unraveling the genetic etiology of adult antisocial behavior: A genome-wide association study. PLoS ONE, 7, e45086.CrossRefGoogle Scholar
Tielbeek, J. J., Linnér, R. K., Beers, K., Posthuma, D., Popma, A., & Polderman, T. J. C. (2016). Meta-analysis of the serotonin transporter promoter variant (5-HTTLPR) in relation to adverse environment and antisocial behavior. American Journal of Medical Genetics Part B, 171:B, 748–760.Google Scholar
Tilihonen, J., Rautiainen, M.-R., Ollila, H. M., Repo-Tilihonen, E., Virkkunen, M., Palotie, A., … & Paunio, T. (2015). Genetic background of extreme violent behavior. Molecular Psychiatry, 20, 786–792.CrossRefGoogle Scholar
Turkheimer, E. (2000). Three laws of behavior genetics and what they mean. Current Directions in Psychological Science, 9, 160–164.CrossRefGoogle Scholar
Turkheimer, E. & Harden, K. P. (2014). Behavior genetic research methods: Testing quasi-causal hypotheses using multivariate twin data. In Reis, H. T. & Jude, C. M. (Eds), Handbook of research methods in social and personality psychology (2nd ed.). New York: Cambridge University Press.Google Scholar
van Erp, A. M. M. & Miczek, K. A. (2000). Aggressive behavior, increased accumbal dopamine, and decreased cortical serotonin in rats. The Journal of Neuroscience, 20, 9320–9325.CrossRefGoogle ScholarPubMed
Vassos, E., Collier, D. A., & Fazel, S. (2014). Systematic meta-analyses and field synopsis of genetic association studies of violence and aggression. Molecular Psychiatry, 19, 471–477.Google Scholar
Veroude, K., Zhang-James, Y, Fernàndez-Castillo, N., Bakker, M. J., Cormand, B., & Faraone, S. V. (2016). Genetics of aggressive behavior: An overview. American Journal of Medical Genetics Part B, 171, 3–43.Google Scholar
Uylings, H. B., Groenewegen, H. J., & Kolb, B. (2003). Do rats have a prefrontal cortex? Behavioural Brain Research, 146, 3–17.Google Scholar
Waltes, R., Chiocchetti, A. G., & Freitag, C. M. (2016). The neurobiological basis of human aggression: A review on genetic and epigenetic mechanisms. American Journal of Medical Genetics Part B, 171, 650–675.Google Scholar
Wang, K., Li, M., & Hakonarson, H. (2010). Analysing biological pathways in genome-wide association studies. Nature Reviews Genetics, 11, 843–854.Google Scholar
Wertz, J., Caspi, A., Belsky, D. W., Beckley, A. L., Arseneault, L., Barnes, J. C., Corcoran, D. L., Hogan, S., Houts, R., Morgan, N., Odgers, C., Prinz, J., Sugden, K., Williams, B., Poulton, R., & Moffitt, T. E. (2017). Genetics and crime: Integrating new genomic discoveries into psychological research about antisocial behavior. Psychological Science, forthcoming.Google Scholar
Wise, S. P. (2008). Forward frontal fields: Phylogeny and fundamental function. Trends in Neuroscience, 31, 599–608.Google Scholar
Wright, J. P., Barnes, J. C., Boutwell, B. B., Schwartz, J. A., Connolly, J. A., Nedelec, J. L., & Beaver, K. M. (2015). Mathematical proof is not minutiae and irreducible complexity is not a theory: A final response to Burt and Simons and a call to criminologists. Criminology, 53, 113–120.Google Scholar
Yang, J., Bakshi, A., Zhu, Z., Hemani, G., Vinkhuyzen, A. A., Lee, S. H., … & van Vliet-Ostaptchouk, J. V. (2015). Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nature Genetics, 47, 1114–1120.Google Scholar
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., … & Visscher, P. M. (2010). Common SNPs explain a large proportion of the heritability for human height. Nature Genetics, 42, 565–569.Google Scholar
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011). GCTA: A tool for genome-wide complex trait analysis. American Journal of Human Genetics, 88, 76–82.Google Scholar
Yang, Y. & Raine, A. (2009). Prefrontal structural and functional brain imaging findings in antisocial, violent, and psychopathic individuals: A meta-analysis. Psychiatry Research: Neuroimaging, 174, 81–88.Google Scholar
Yang, Y., Raine, A., Narr, K. L., Colletti, P., & Toga, A. W. (2009). Localization of deformations within the amygdala in individuals with psychopathy. Archives of General Psychiatry, 66, 986–994.Google Scholar
Zhou, C., Rao, Y., & Rao, Y. (2008). A subset of octopaminergic neurons are important for Drosophila aggression. Nature Neuroscience, 11, 1059–1067.Google Scholar
Zuk, O, Hechter, E., Sunyaev, S. R., & Lander, E. S. (2012). The mystery of missing heritability: Genetic interactions create phantom heritability. Proceedings of the National Academy of Sciences, 109, 1193–1198.Google Scholar

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