Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-04T18:23:26.410Z Has data issue: false hasContentIssue false

Meta-analysis of gene–environment interactions in developmental psychopathology

Published online by Cambridge University Press:  11 October 2007

Alan Taylor*
Affiliation:
King's College London
Julia Kim-Cohen
Affiliation:
Yale University
*
Address correspondence and reprint requests to: Alan Taylor, Social, Genetic and Developmental Psychiatry Centre, Box Number PO80, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK; E-mail: [email protected].

Abstract

As studies of measured gene–environment interactions (G × E) in developmental psychopathology gain momentum, methods for systematically and quantitatively summarizing effects across multiple studies are urgently needed. Meta-analyses of G × E findings are critical for evaluating the overall statistical and theoretical significance of any given G × E based on cumulative and systematically combined knowledge. Although meta-analytic methods for the combination of study findings based on single effect measures such as odds ratios and mean differences are well established, equivalent methods for the meta-analysis of studies investigating interactions are not well developed. This article describes one simple approach to the meta-analysis of G × E effects using, as a contemporaneous example, the interaction of the monoamine oxidase A (MAOA) gene and the impact of childhood maltreatment on risk for developing antisocial behavior.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aguinis, H., & Stone-Romero, E. F. (1997). Methodological artifacts in moderated multiple regression and their effect on statistical power. Journal of Applied Psychology, 82, 192206.CrossRefGoogle Scholar
Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: Sage.Google Scholar
Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50, 10881089.CrossRefGoogle Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., et al. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297, 851854.CrossRefGoogle ScholarPubMed
Caspi, A., & Moffitt, T. E. (2006). Gene–environment interactions in psychiatry: Joining forces with neuroscience. Nature Reviews Neuroscience, 7, 583590.CrossRefGoogle ScholarPubMed
Chinn, S. (2000). A simple method for converting an odds ratio to effect size for use in meta-analysis. Statistics in Medicine, 19, 31273131.3.0.CO;2-M>CrossRefGoogle ScholarPubMed
Cicchetti, D., & Blender, J. A. (2006). A multiple-levels-of-analysis perspective on resilience: Implications for the developing brain, neural plasticity, and preventive interventions. Annals of the New York Academy of Sciences, 1094, 248258.CrossRefGoogle ScholarPubMed
The Cochran Collaboration. (2002). Review manager (RevMan). Version 4.2 for Windows [Software]. Oxford: Author.Google Scholar
Egger, M., Schneider, M., & Smith, G. D. (1998). Spurious precision? Meta-analysis of observational studies. British Medical Journal, 316, 140144.CrossRefGoogle ScholarPubMed
Egger, M., Smith, G. D., & Altman, D. G. (2001). Systematic reviews in health care: Meta-analysis in context (2nd ed.). London: BMJ Publishing Group.CrossRefGoogle Scholar
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315, 629634.CrossRefGoogle ScholarPubMed
Egger, M., Smith, G. D., & Phillips, A. N. (1997). Meta-analysis: Principles and procedures. British Medical Journal, 315, 15331537.CrossRefGoogle ScholarPubMed
Ferguson, G. A. (1981). Statistical analysis in psychology and education (5th ed.). New York: McGraw–Hill.Google Scholar
Field, A. P. (2005). Is the meta-analysis of correlation coefficients accurate when population correlations vary? Psychological Methods, 10, 444467.CrossRefGoogle ScholarPubMed
Foley, D., & Riley, B. (2007). Promoting measured genes and measured environments: On the importance of careful statistical analyses and biological relevance. Archives of General Psychiatry, 64, 378.CrossRefGoogle Scholar
Foley, D. L., Eaves, L. J., Wormley, B., Silberg, J. L., Maes, H. H., Kuhn, J., et al. (2004). Childhood adversity, monoamine oxidase A genotype, and risk for conduct disorder. Archives of General Psychiatry, 61, 738744.CrossRefGoogle ScholarPubMed
Frazzetto, G., Di Lorenzo, G., Carola, V., Proietti, L., Sokolowska, E., Siracusano, A., et al. (2007). Early trauma and increased risk for physical aggression during adulthood: The moderating role of MAOA genotype. PLoS ONE, 2, e486. Retrieved from http://www.journal.pone.0000486CrossRefGoogle ScholarPubMed
Guo, S. W. (2000). Gene–environment interaction and the mapping of complex traits: Some statistical models and their implications. Human Heredity, 50, 286303.CrossRefGoogle ScholarPubMed
Haberstick, B. C., Lessem, J. M., Hopfer, C. J., Smolen, A., Ehringer, M. A., Timberlake, D., et al. (2005). Monoamine oxidase A (MAOA) and antisocial behaviors in the presence of childhood and adolescent maltreatment. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 135, 5964.CrossRefGoogle Scholar
Hernandez, L. M., & Blazer, D. G. (2006). Genes, behavior, and the social environment: Moving beyond the nature/nurture debate. Washington, DC: National Academies Press.Google Scholar
Higgins, J. P. T., & Green, S. (Eds.). (2006). Cochrane handbook for systematic reviews of interventions (Version 4.2.6). Chichester: Wiley.Google Scholar
Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 15391558.CrossRefGoogle ScholarPubMed
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327, 557560.CrossRefGoogle ScholarPubMed
Huizinga, D., Haberstick, B. C., Smolen, A., Menard, S., Young, S. E., Corley, R. P., et al. (2006). Childhood maltreatment, subsequent antisocial behavior, and the role of monoamine oxidase A genotype. Biological Psychiatry, 60, 677683.CrossRefGoogle ScholarPubMed
Hunter, D. J. (2005). Gene–environment interactions in human diseases. Nature Reviews Genetics, 6, 287298.CrossRefGoogle ScholarPubMed
Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings (2nd ed.) Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Ioannidis, J. P. (2005). Contradicted and initially stronger effects in highly cited clinical research. Journal of the American Medical Association, 294, 218228.CrossRefGoogle ScholarPubMed
Ioannidis, J. P., Ntzani, E. E., Trikalinos, T. A., & Contopoulos-Ioannidis, D. G. (2001). Replication validity of genetic association studies. Nature Genetics, 29, 306309.CrossRefGoogle ScholarPubMed
Ioannidis, J. P. A., Trikalinos, T. A., & Khoury, M. J. (2006). Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases. American Journal of Epidemiology, 164, 609614.CrossRefGoogle ScholarPubMed
Kaplow, J. B., & Widom, C. S. (2007). Age of onset of maltreatment predicts long-term mental health outcomes. Journal of Abnormal Psychology, 116, 176187.CrossRefGoogle ScholarPubMed
Kendler, K. S., & Eaves, L. J. (1986). Models for the joint effect of genotype and environment on liability to psychiatric illness. American Journal of Psychiatry, 143, 279289.Google ScholarPubMed
Kim-Cohen, J., Caspi, A., Taylor, A., Williams, B., Newcombe, R., Craig, I. W., et al. (2006). MAOA, maltreatment, and gene–environment interaction predicting children's mental health: New evidence and a meta-analysis. Molecular Psychiatry, 11, 903913.CrossRefGoogle ScholarPubMed
Kraemer, H. C., Frank, E., & Kupfer, D. J. (2006). Moderators of treatment outcomes: Clinical, research, and policy importance. Journal of the American Medical Association, 296, 12861289.CrossRefGoogle ScholarPubMed
Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage.Google ScholarPubMed
Little, J., & Higgins, J. P. T. (2006). The HuGENet™ HuGE review handbook (Version 1.0). Retrieved April 28, 2007, from http://www.genesens.net/_intranet/doc_nouvelles/HuGE%20Review%20Handbook%20v11.pdfGoogle Scholar
Manly, J. T., Kim, J. E., Rogosch, F. A., & Cicchetti, D. (2001). Dimensions of child maltreatment and children's adjustment: Contributions of developmental timing and subtype. Development and Psychopathology, 13, 759782.CrossRefGoogle ScholarPubMed
Moffitt, T. E., Caspi, A., & Rutter, M. (2005). Strategy for investigating interactions between measured genes and measured environments. Archives of General Psychiatry, 62, 473481.CrossRefGoogle ScholarPubMed
Moher, D., Cook, D. J., Eastwood, S., Olkin, I., Rennie, D., & Stroup, D. F. (1999). Improving the quality of reports of meta-analyses of randomised controlled trials: The QUOROM statement. Lancet, 354, 18961900.CrossRefGoogle ScholarPubMed
Nilsson, K. W., Sjoberg, R. L., Damberg, M., Leppert, J., Ohrvik, J., Alm, P. O., et al. (2006). Role of monoamine oxidase A genotype and psychosocial factors in male adolescent criminal activity. Biological Psychiatry, 59, 121127.CrossRefGoogle ScholarPubMed
Peterson, R. A., & Brown, S. P. (2005). On the use of beta coefficients in meta-analysis. Journal of Applied Psychology, 90, 175181.CrossRefGoogle ScholarPubMed
Plint, A. C., Moher, D., Morrison, A., Schulz, K., Altman, D. G., Hill, C., et al. (2006). Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review. Medical Journal of Australia, 185, 263267.CrossRefGoogle Scholar
Rutter, M. (2007). Gene–environment interdependence. Developmental Science, 10, 1218.CrossRefGoogle ScholarPubMed
Rutter, M., Moffitt, T. E., & Caspi, A. (2006). Gene–environment interplay and psychopathology: Multiple varieties but real effects. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 47, 226261.CrossRefGoogle ScholarPubMed
StataCorp. (2005). Stata statistical software: Release 9.2. College Station, TX: Author.Google Scholar
Sterne, J. A. C., Bradburn, M. J., & Egger, M. (2001). Meta-analysis in StataTM. In Egger, M., Smith, G. D., & Altman, D.G. (Eds.), Systematic reviews in health care: Meta-analysis in context (2nd ed., pp. 347369). London: BMJ Publishing Group.CrossRefGoogle Scholar
Stroup, D. F., Berlin, J. A., Morton, S. C., Olkin, I., Williamson, G. D., Rennie, D., et al. (2000). Meta-analysis of observational studies in epidemiology: A proposal for reporting. Journal of the American Medical Association, 283, 20082012.CrossRefGoogle ScholarPubMed
Thapar, A., Harold, G., Holmans, P., Rice, F., Langley, K., Fowler, T., et al. (2007). Promoting measured genes and measured environments: On the importance of careful statistical analyses and biological relevance. Archives of General Psychiatry, 64, 378379.CrossRefGoogle Scholar
Thompson, S. G., & Higgins, J. P. T. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21, 15591573..CrossRefGoogle ScholarPubMed
Trikalinos, T. A., Ntzani, E. E., Contopoulos-Ioannidis, D. G., & Ioannidis, J. P. (2004). Establishment of genetic associations for complex diseases is independent of early study findings. European Journal of Human Genetics, 12, 762769.CrossRefGoogle ScholarPubMed
von, Elm, E., & Egger, M. (2004). The scandal of poor epidemiological research. British Medical Journal, 329, 868869.CrossRefGoogle ScholarPubMed
Widom, C. S., & Brzustowicz, L. M. (2006). MAOA and the “cycle of violence:” Childhood abuse and neglect, MAOA genotype, and risk for violent and antisocial behavior. Biological Psychiatry, 60, 684689.CrossRefGoogle ScholarPubMed
Young, S. E., Smolen, A., Hewitt, J. K., Haberstick, B. C., Stallings, M. C., Corley, R. P., et al. (2006). Interaction between MAO-A genotype and maltreatment in the risk for conduct disorder: Failure to confirm in adolescent patients. American Journal of Psychiatry, 163, 10191025.CrossRefGoogle ScholarPubMed