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Political Science, Biometric Theory, and Twin Studies: A Methodological Introduction

Published online by Cambridge University Press:  04 January 2017

Sarah E. Medland  and
Peter K. Hatemi
Sarah E. Medland
Affiliation:
Department of Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, Australia
Peter K. Hatemi*
Affiliation:
Department of Political Science, University of Iowa, Iowa City, IA 52242
*
e-mail: [email protected] (corresponding author)
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Abstract

As political scientists begin to incorporate biological influences as explanatory factors in political behavior, the need to present a methodological road map for utilizing biometric genetic theory and twin data is apparent. The classical twin design (CTD) remains the most popular design for initial examinations of the source of variance among social and political behaviors, and a vast majority of advanced variance components models as well as some molecular analyses are extensions of the CTD. Thus, it is appropriate to begin a series of works with the CTD and its most common variants. The CTD has strong roots in biometrical genetic theory and provides estimates of the correlations between observed traits of monozygotic and dizygotic twins in terms of underlying genetic and environmental influences. The majority of these analyses utilize SEMs of observed covariances for both twin types to assess the relative importance of these “latent” factors.

Type
Research Article
Information
Political Analysis , Volume 17 , Issue 2 , Spring 2009 , pp. 191 - 214
Copyright
Copyright © The Author 2009. Published by Oxford University Press on behalf of the Society for Political Methodology 

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Footnotes

Authors' note: We thank Michael Neale for access to the Mx program for structural modeling and Lindon Eaves for his mentorship. We also thank the anonymous reviewers and editor for their thoughtful and insightful comments.

References

Alford, J., Funk, C., and Hibbing, J. 2005. Are political orientations genetically transmitted? American Political Science Review 99: 153–67.Google Scholar
Bouchard, T. J. Jr, and McGue, M. 2003. Genetic and environmental influences on human psychological differences. Journal of Neurobiology 54: 4–45.Google Scholar
Busjahn, A. 2002. Twin registers across the globe: What's out there in 2002. Twin Research and Human Genetics 5:V–VI.Google Scholar
Campbell, D. B., Sutcliffe, J. S., Ebert, P. J., Militerni, R., Bravaccio, C., Trillo, S., Elia, M., et al. 2006. A genetic variant that disrupts MET transcription is associated with autism. Proceedings of the National Academy of Science of the United States of America 103: 16834–9.Google Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., Taylor, A., and Poulton, R. 2002. Role of genotype in the cycle of violence in maltreated children. Science 297: 851–4.CrossRefGoogle ScholarPubMed
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., et al. 2003. Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene. Science 301: 386–9.Google Scholar
Cohen, D. J., Dibble, E., Grawe, J. M., and Pollin, W. 1973. Separating identical from fraternal twins. Archives of General Psychiatry 29: 465–9.Google Scholar
Eaves, L. J., Heath, A. C., Martin, N. G., Maes, H. H., Neale, M. C., Kendler, K. S., Kirk, K. M., and Corey, L. 1999. Comparing the biological and cultural inheritance of personality and social attitudes in the Virginia 30 000 study of twins and their relatives. Twin Research 2: 62–80.Google Scholar
Eaves, L. J. 1969. The genetic analysis of continuous variation. A comparison of experimental designs applicable to human data. British Journal of Mathematical and Statistical Psychology 22: 131–47.Google Scholar
Eaves, L. J. 1977. Inferring the causes of human variation. Journal of the Royal Statistical Society 140: 324–55.Google Scholar
Eaves, L. J., Eysenck, H. J., and Martin, N. G. 1989. Genes, culture and personality; an empirical approach. London: Academic Press.Google Scholar
Eaves, L. J., and Hatemi, P. K. 2008a. Transmission of attitudes toward abortion and gay rights: Parental socialization or parental mate selection? Behavior Genetics 38: 247–56.CrossRefGoogle ScholarPubMed
Eaves, L. J., and Hatemi, P. K. 2008b. Do we choose our spouse based on our in-laws? Unpublished manuscript.Google Scholar
Evans, D. M., Gillespie, N. A., and Martin, N. G. 2002. Biometrical genetics. Biological Psychology 61: 33–51.CrossRefGoogle ScholarPubMed
Eysenck, H. J., and Eysenck, M. W. 1985. Personality and individual differences: A natural science approach. New York: Plenum.Google Scholar
Falconer, D. S. 1960. Introduction to quantitative genetics. Edinburgh: Oliver and Boyd.Google Scholar
Fowler, J. H., Baker, L. A., and Dawes, C. T. 2008. Genetic variation in political participation. American Political Science Review 102: 233–48.Google Scholar
Fowler, J. H., and Dawes, C. T. 2008. Two genes predict voter turnout. Journal of Politics 70: 579–94.Google Scholar
Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., et al. 2007. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316: 889–94.Google Scholar
Haberstick, B. C., Smolen, A., and Hewitt, J. K. 2006. Family-based association test of the 5HTTLPR and aggressive behavior in a general population sample of children. Biological Psychiatry 59: 836–43.Google Scholar
Hall, J. G. 2003. Twinning. Lancet 362: 735–43.Google Scholar
Happonen, M., Lea, P., Jaakko, K., Jaap Van der, M., Richard, J. V., and Richard, J. R. 2002. The heritability of depressive symptoms: multiple informants and multiple measures. Journal of Child Psychology and Psychiatry 43: 471–9.Google Scholar
Hatemi, P. K. 2007. The genetics of political attitudes. PhD diss. University of Nebraska-Lincoln.Google Scholar
Hatemi, P. K., Hibbing, J., Alford, J., Martin, N. G., and Eaves, L. J. 2008. We get opinions from our parents, but not how we think we do: Genetic and social components of the familial transmission of political attitudes. Presented at the Midwest Political Science Assocation Annual Conference, Chicago, IL, April 2008.Google Scholar
Hatemi, Peter K., John, Hibbing, John, Alford, Nicholas, Martin, and Lindon, Eaves. 2009. Is there a party in your genes? Political Research Quarterly. Forthcoming.Google Scholar
Hatemi, P. K., Medland, S. E., and Eaves, L. J. 2009. Genetic sources for the gender gap? Journal of Politics 71: 1–13.Google Scholar
Hatemi, P. K., Medland, S. E., Morley, K. I., Heath, A. C., and Martin, N. G. 2007. The genetics of voting: An Australian twin study. Behavior Genetics 37: 435–48.Google Scholar
Heath, A. C., and Eaves, L. J. 1985. Resolving the effects of phenotype and social background on mate selection. Behavior Genetics 15: 15–30.Google Scholar
Heath, A. C., Eaves, L. J., Nance, W. E., and Corey, L. A. 1987. Social inequality and assortative mating: Cause or consequence? Behavior Genetics 17: 9–17.CrossRefGoogle ScholarPubMed
Heath, A. C., Jardine, R., and Martin, N. G. 1989. Interactive effects of genotype and social environment on alcohol consumption in female twins. Journal of Studies on Alcohol 60: 38–48.Google Scholar
Hettema, J. M., Neale, M. C., and Kendler, K. S. 1995. Physical similarity and the equal-environments assumption in twin studies of psychiatric disorders. Behavior Genetics 25: 327–35.CrossRefGoogle Scholar
Holzinger, K. 1929. The relative effect of nature and nurture influences on twin differences. J Educ Psychol 20: 241–8.Google Scholar
Jansson, M., Gatz, M., Berg, S., Johansson, B., Malmberg, B., McClearn, G. E., Schalling, M., and Pedersen, N. L. 2004. Gender differences in heritability of depressive symptoms in the elderly. Psychological Medicine 34: 471–9.Google Scholar
Jinks, J. L., and Fulker, D. W. 1970. A comparison of the biometrical-genetical, MAVA and classical approaches to the analysis of human behavior. Psychological Bulletin 73: 311–49.Google Scholar
Kalmijn, M. 1994. Assortative mating by cultural and economic occupational status. American Journal of Sociology 100: 422–52.Google Scholar
Kendler, K. S. 1983. Overview: Current perspective on twin studies of schizophrenia. American Journal of Psychiatry 140: 1413–25.Google Scholar
Kendler, K. S., Heath, A. C., Martin, N. G., and Eaves, L. J. 1987. Symptoms of anxiety and symptoms of depression. Same genes, different environments? Archives of General Psychiatry 44: 451–7.Google Scholar
Kendler, K. S., Neale, M. C., Kessler, R. C., Heath, A. C., and Eaves, L. J. 1993. A test of the equal-environment assumption in twin studies of psychiatric illness. Behavior Genetics 23: 21–7.Google Scholar
Krueger, R. F., Markon, K. E., and Bouchard, T. Jr. 2003. The extended genotype: The heritability of personality accounts for the heritability of recalled family environments in twins reared apart. Journal of Personality 71: 809–33.Google Scholar
Loehlin, J. C. 1996. The Cholesky approach: A cautionary note. Behavior Genetics 26: 65–9.Google Scholar
Loehlin, J. C., and Nichols, R. C. 1976. Heredity, environment, and personality. Austin, TX: University of Texas Press.Google Scholar
Lytton, H. 1977. Do parents create, or respond to, differences in twins? Dev. Psychol 13: 456–9.Google Scholar
Martin, N. G., and Eaves, L. J. 1977. The genetical analysis of covariance structure. Heredity 38: 79–95.CrossRefGoogle ScholarPubMed
Martin, N. G., Eaves, L. J., Heath, A. C., Jardine, R., Feingold, L. M., and Eysenck, H. J. 1986. Transmission of social attitudes. Proceedings of the National Academy of Science of the United States of America 83: 4364–8.Google ScholarPubMed
Martin, N. G., and Witson, S. R. 1982. Bias in the estimation of heritability from truncated samples of twins. Behavior Genetics 12: 467–72.CrossRefGoogle ScholarPubMed
Matheny, A. P., Wilson, R. S., and Dolan, A. B. 1976. Relations between twins’ similarity of appearance and behavioral similarity: Testing an assumption. Behavior Genetics. 6: 343–51.CrossRefGoogle ScholarPubMed
Mehta, P. D., and Neale, M. C. 2005. People are variables too: multilevel structural equations modeling. Psychol Methods 10: 259–84.Google Scholar
Merikangas, K. R. 1984. Divorce and assortative mating among depressed patients. American Journal of Psychiatry 141: 74–6.Google Scholar
Nance, W. E., and Neale, M. C. 1989. Partitioned twin analysis: A power study. Behavior Genetics 19: 143–50.Google Scholar
Neale, M., Boker, S., Xie, G., and Maes, H. 2003. Mx: Statistical modeling. 5th ed. Richmond, VA: Department of Psychiatry, Virginia Commonwealth University.Google Scholar
Neale, M. C., and Cardon, L. L. 1992. Methodology for genetic studies of twins and families. Kluwer Academic.Google Scholar
Neale, M. C., Eaves, L. J., and Kendler, K. S. 1994. The power of the classical twin study to resolve variation in threshold traits. Behavior Genetics 24: 239–58.Google Scholar
Neale, M. C., Eaves, L. J., Kendler, K. S., and Hewitt, J. K. 1989. Bias in correlations from selected samples of relatives. Behavior Genetics 19: 163–9.Google Scholar
Ooki, S., Yamada, K., Asaka, A., and Hayakawa, K. 1990. Zygosity diagnosis by questionnaire. Acta Genetica Medica et Gemellologica 39: 109–15.Google Scholar
Plomin, R., Willerman, L., and Loehlin, J. C. 1976. Resemblance in appearance and the equal environments assumption in twin studies of personality traits. Behavior Genetics 6: 43–52.Google Scholar
Posthuma, D., Beem, A. L., de Geus, E. J., van Baal, G. C. M., von Hjelmborg, J. B., Iachine, I., and Boomsma, D. I. 2003. Theory and practice in quantitative genetics. Twin Research 6: 361–76.Google Scholar
Posthuma, D., and Boomsma, D. I. 2000. A note on the statistical power in extended twin designs. Behavior Genetics 30: 147–58.Google Scholar
Purcell, S. 2002. Variance components models for gene-environment interaction in twin analysis. Twin Research 5: 554–71.Google Scholar
Saudino, K. J. 1997. Moving beyond the heritability question: New directions in behavioral genetic studies of personality. Current Directions in Psychological Science 6: 86–90.Google Scholar
Scarr, S., and Carter-Saltzman, L. 1979. Twin method: Defense of a critical assumption. Behavior Genetics 9: 527–42.Google Scholar
Schieken, R. M., Mosteller, M., Goble, M. M., Moskowitz, W. B., Hewitt, J. K., Eaves, L. J., and Nance, W. E. 1992. Multivariate genetic analysis of blood pressure and body size. The Medical College of Virginia Twin Study. Circulation 86: 1780–8.CrossRefGoogle ScholarPubMed
Sham, P. 1998. Statistics in human genetics. London: Arnold.Google Scholar
Stoker, L., and Jennings, M. K. 1995. Life-cycle transitions and political participation: The case of marriage. The American Political Science Review 89: 421–33.Google Scholar
van der Sluis, S., Dolan, C. V., Neale, M. C., Boomsma, D. I., and Posthuma, D. 2006. Detecting genotype-environment interaction in monozygotic twin data: comparing the Jinks and Fulker test and a new test based on marginal maximum likelihood estimation. Twin Research and Human Genetics 9: 377–92.Google Scholar
Vandenberg, S. G. 1972. Assortative mating or who marries whom? Behavior Genetics 2: 127–57.Google Scholar
Visscher, P. M., Medland, S. E., Ferreira, M. A. R., Morley, K. I., Zhu, G., Cornes, B. K., Montgomery, G. W., and Martin, N. G. 2006. Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings. PLoS Genet 2: e41.Google Scholar
Xian, H., Scherrer, J. F., Eisen, S. A., True, W. R., Heath, A. C., Goldberg, J., Lyons, M. J., and Tsuang, M. T. 2000. Self-reported zygosity and the equal-environments assumption for psychiatric disorders in the Vietnam Era Twin Registry. Behavior Genetics 30: 303–10.Google Scholar