The Behavioral Genetics of Aggression and Violent Behavior

doi:10.1017/9781316847992.006

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

J. C. Barnes and

Jorim Tielbeek

Edited by

Alexander T. Vazsonyi ,

Daniel J. Flannery and

Matt DeLisi

Show author details

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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Type: Chapter
Information: The Cambridge Handbook of Violent Behavior and Aggression , pp. 83 - 105

DOI: https://doi.org/10.1017/9781316847992.006 [Opens in a new window]

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.CrossRef Google Scholar PubMed

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, 588–626.10.1111/1745-9125.12049CrossRef Google Scholar

Bearden, C. E. & Freimer, N. B. (2006). Endophenotypes for psychiatric disorders: ready for primetime? Trends in Genetics, 22, 306–313.CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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, 223–228.10.1126/science.2218526CrossRef Google Scholar PubMed

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.CrossRef Google 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, 578–580.10.1126/science.8211186CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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, 291–295.10.1038/ng.3211CrossRef Google Scholar PubMed

Burt, S. A. (2009). Are there meaningful etiological differences within antisocial behavior? Results of a meta-analysis. Clinical Psychology Review, 29, 163–178.10.1016/j.cpr.2008.12.004CrossRef Google Scholar PubMed

Burt, S. A. (2016). Editorial: Chickens and eggs – how should we interpret environment-behavior associations? Journal of Child Psychology and Psychiatry, 57, 113–115.10.1111/jcpp.12523CrossRef Google Scholar PubMed

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, 365–376.10.1038/nrn3475CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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, 304–312.10.1177/0963721415580430CrossRef Google Scholar PubMed

Charney, E. (2012). Behavior genetics and postgenomics. Behavioral and Brain Sciences, 35, 331–410.10.1017/S0140525X11002226CrossRef Google Scholar PubMed

Charney, E. & English, W. (2012). Candidate genes and political behavior. American Political Science Review, 106, 1–34.CrossRef Google 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.CrossRef Google Scholar PubMed

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, 353–364.10.1038/nrg.2016.29CrossRef Google Scholar PubMed

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, 37–59.10.1177/1745691614556682CrossRef Google Scholar PubMed

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, 800–808.10.1038/mp.2010.73CrossRef Google Scholar PubMed

Dierick, H. A. & Greenspan, R. J. (2006). Molecular analysis of flies selected for aggressive behavior. Nature Genetics, 38, 1023–1031.10.1038/ng1864CrossRef Google Scholar PubMed

Dierick, H. A. & Greenspan, R. J. (2007). Serotonin and neuropeptide F have opposite modulatory effects on fly aggression. Nature Genetics, 39, 678–682.10.1038/ng2029CrossRef Google Scholar PubMed

Dudbridge, F. (2013). Power and predictive accuracy of polygenic risk scores. PLoS Genetics, 9, e1003348.10.1371/journal.pgen.1003348CrossRef Google Scholar PubMed

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, 1041–1049.10.1176/appi.ajp.2011.11020191CrossRef Google Scholar PubMed

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, 446–450.10.1038/nrg2809CrossRef Google Scholar PubMed

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, 1118–1125.10.1038/ng.717CrossRef Google Scholar PubMed

Gelman, A. & Loken, E. (2014). The statistical crisis in science. American Scientist, 102, 460–465.CrossRef Google Scholar

Gottesman, I. I. & Gould, T. D. (2003). The endophenotype concept in psychiatry: Etymology and strategic intentions. American Journal of Psychiatry, 160, 636–645.CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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.CrossRef Google Scholar

Ioannidis, J. P. (2003). Genetic associations: False or true? Trends in Molecular Medicine, 9, 135–138.10.1016/S1471-4914(03)00030-3CrossRef Google Scholar PubMed

Ioannidis, J. P. (2005). Why most published research findings are false. PLoS Medicine, 2, e124.CrossRef Google Scholar PubMed

Jorgenson, E. & Witte, J. S. (2006). A gene-centric approach to genome-wide association studies. Nature Reviews Genetics, 7, 885–891.CrossRef Google Scholar PubMed

Kendler, K. S. & Neale, M. C. (2010). Endophenotype: A conceptual analysis. Molecular Psychiatry, 15, 789–797.CrossRef Google Scholar PubMed

Khatri, P., Sirota, M., & Butte, A. J. (2012). Ten years of pathway analysis: Current approaches and outstanding challenges. PLoS Computational Biology 8, e1002375.10.1371/journal.pcbi.1002375CrossRef Google Scholar PubMed

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, 294–305.10.1016/j.ajhg.2011.02.002CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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, 66.10.1186/1471-2105-11-66CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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, 747–753.10.1038/nature08494CrossRef Google Scholar PubMed

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, 279–286.10.1016/j.pscychresns.2011.07.008CrossRef Google Scholar PubMed

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, 301–323.10.1007/BF02239409CrossRef Google Scholar

Merton, R. K. (1957). Priorities in scientific discovery: A chapter in the sociology of science. American Sociological Review, 22, 635–659.10.2307/2089193CrossRef 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, 6269–6274.10.1073/pnas.0511311103CrossRef Google Scholar PubMed

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, 267–273.10.1038/ng1180CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

Munafo, M. R., Stothart, G., & Flint, J. (2009). Bias in genetic association studies and impact factor. Molecular Psychiatry, 14, 119–120.10.1038/mp.2008.77CrossRef Google Scholar PubMed

Nelson, R. J. & Trainor, B. C. (2007). Neural mechanisms of aggression. Nature Reviews Neuroscience, 8, 536–546.10.1038/nrn2174CrossRef Google Scholar PubMed

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), 539–542.10.1038/nature17671CrossRef Google Scholar PubMed

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, 562–572.10.1002/ajmg.b.32333CrossRef Google Scholar PubMed

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, 1060–1069.10.1016/j.jclinepi.2010.12.012CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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, 702–709.10.1038/ng.3285CrossRef Google Scholar PubMed

Preuss, T. M. (1995). Do rats have prefrontal cortex? The Rose-Woolsey-Akert program reconsidered. Journal of Cognitive Neuroscience, 7, 1–24.10.1162/jocn.1995.7.1.1CrossRef Google Scholar PubMed

Purcell, S. (2002). Variance components models for gene-environment interaction in twin analysis. Twin Research, 5, 554–571.CrossRef Google Scholar PubMed

Raine, A. (1993). The psychopathology of crime: Criminal behavior as a clinical disorder. San Diego, CA: Academic Press.10.1016/B978-0-08-057148-5.50005-8CrossRef 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, e883.10.1038/tp.2016.155CrossRef Google Scholar PubMed

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, 490–529.10.1037/0033-2909.128.3.490CrossRef Google Scholar PubMed

Risch, N. & Merikangas, K. (1996). The future of genetic studies of complex human diseases. Science, 273, 1516–1517.CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

Schizophrenia Working Group of the Psychiatric Genomics Consortium, 2014. Biological insights from 108 schizophrenia-associated genetic loci. Nature, 511, 421–427.10.1038/nature13595CrossRef 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), 1341–1345.10.1126/science.1142382CrossRef Google Scholar PubMed

Sham, P. C. & Purcell, S. M. (2014). Statistical power and significance testing in large-scale genetic studies. Nature Reviews Genetics, 15(5), 335–346.10.1038/nrg3706CrossRef Google Scholar PubMed

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, 1359–1366.10.1177/0956797611417632CrossRef Google Scholar PubMed

Smith, G. D. (2011). Epidemiology, epigenetics and the “gloomy prospect”: Embracing randomness in population health research and practice. International Journal of Epidemiology, 40, 537–562.10.1093/ije/dyr117CrossRef Google Scholar PubMed

Sullivan, P. F. (2007). Spurious genetic associations. Biological Psychiatry, 61, 1121–1126.10.1016/j.biopsych.2006.11.010CrossRef Google Scholar PubMed

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, 1242-1250.10.1001/jamapsychiatry.2017.3069CrossRef 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.CrossRef Google 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, 748–760.10.1002/ajmg.b.32442CrossRef 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.CrossRef Google Scholar

Turkheimer, E. (2000). Three laws of behavior genetics and what they mean. Current Directions in Psychological Science, 9, 160–164.CrossRef Google 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.CrossRef Google Scholar PubMed

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, 471–477.10.1038/mp.2013.31CrossRef Google Scholar PubMed

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, 3–43.10.1002/ajmg.b.32364CrossRef Google Scholar

Uylings, H. B., Groenewegen, H. J., & Kolb, B. (2003). Do rats have a prefrontal cortex? Behavioural Brain Research, 146, 3–17.10.1016/j.bbr.2003.09.028CrossRef Google Scholar PubMed

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, 650–675.10.1002/ajmg.b.32388CrossRef Google Scholar PubMed

Wang, K., Li, M., & Hakonarson, H. (2010). Analysing biological pathways in genome-wide association studies. Nature Reviews Genetics, 11, 843–854.10.1038/nrg2884CrossRef Google Scholar PubMed

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.CrossRef Google Scholar PubMed

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, 113–120.10.1111/1745-9125.12059CrossRef 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 PubMed

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, 565–569.10.1038/ng.608CrossRef Google Scholar PubMed

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, 76–82.10.1016/j.ajhg.2010.11.011CrossRef Google Scholar PubMed

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, 81–88.10.1016/j.pscychresns.2009.03.012CrossRef Google Scholar PubMed

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, 986–994.10.1001/archgenpsychiatry.2009.110CrossRef Google Scholar PubMed

Zhou, C., Rao, Y., & Rao, Y. (2008). A subset of octopaminergic neurons are important for Drosophila aggression. Nature Neuroscience, 11, 1059–1067.10.1038/nn.2164CrossRef Google Scholar PubMed

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, 1193–1198.10.1073/pnas.1119675109CrossRef Google Scholar PubMed

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