Hostname: page-component-8448b6f56d-gtxcr Total loading time: 0 Render date: 2024-04-19T00:11:58.364Z Has data issue: false hasContentIssue false

Polygenic differential susceptibility to prenatal adversity

Published online by Cambridge University Press:  07 August 2018

Jay Belsky
Affiliation:
Department of Human Ecology, Program in Human Development, University of California, Davis
Irina Pokhvisneva
Affiliation:
Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute
Anu Sathyan Sathyapalan Rema
Affiliation:
Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR)
Birit F.P. Broekman
Affiliation:
Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR)
Michael Pluess
Affiliation:
Department of Biological and Experimental Psychology School of Biological and Chemical Sciences, Queen Mary University of London
Kieran J. O'Donnell
Affiliation:
Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute Sackler Program for Epigenetics & Psychobiology at McGill University Department of Psychiatry, McGill University
Michael J. Meaney
Affiliation:
Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR) Sackler Program for Epigenetics & Psychobiology at McGill University Department of Psychiatry, McGill University
Patrícia P. Silveira*
Affiliation:
Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute Sackler Program for Epigenetics & Psychobiology at McGill University Department of Psychiatry, McGill University
*
Address correspondence and reprint requests to: Patricia Pelufo Silveira, MD, PhD Department of Psychiatry, McGill University Douglas Mental Health University Institute, 6875 Boulevard LaSalle, Montreal, Quebec, H4H 1R3, Canada; E-mail: patricia.silveira@mcgill.ca

Abstract

A recent article in this journal reported a number of gene × environment interactions involving a serotonin transporter–gene network polygenic score and a composite index of prenatal adversity predicting several problem behavior outcomes at 48 months (e.g., anxious/depressed, pervasive developmental problems) and at 60 months (e.g., withdrawal, internalizing problems), yet did not illuminate the nature or form these genetic × environment interactions took. Here we report results of six additional analyses to evaluate whether these interactions reflected diathesis–stress or differential–susceptibility related processes. Analyses of the regions of significance and proportion of interaction index are consistent with the diathesis–stress model, seemingly because of the truncated nature of the adversity score (which did not extend to supportive/positive prenatal experiences/exposures); in contrast, the proportion (of cases) affected index favors the differential–susceptibility model. These results suggest the need for future studies to extend measurement of the prenatal environment to highly supportive experiences and exposures.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2018 

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.)

Footnotes

The authors have no conflicts of interest to declare.

References

Belsky, J. (1997). Variation in susceptibility to environmental influence: An evolutionary argument. Psychological Inquiry, 8, 182186.Google Scholar
Belsky, J., Bakermans-Kranenburg, M. J., & van Ijzendoorn, M. H. (2007). For better and for worse: Differential susceptibility to environmental influences. Current Directions in Psychological Science, 16, 300304.Google Scholar
Belsky, J., Jonassaint, C., Pluess, M., Stanton, M., Brummett, B., & Williams, R. (2009). Vulnerability genes or plasticity genes? Molecular Psychiatry, 14, 746754.Google Scholar
Belsky, J., Newman, D. A., Widaman, K. F., Rodkin, P., Pluess, M., Fraley, R. C., Berry, D., Helm, J. L., & Roisman, G. I. (2015). Differential susceptibility to effects of maternal sensitivity? A study of candidate plasticity genes. Development and Psychopathology, 27, 725746.Google Scholar
Belsky, J., Pluess, M., & Widaman, K. F. (2013). Confirmatory and competitive evaluation of alternative gene-environment interaction hypotheses. Journal of Child Psychology and Psychiatry, 54, 11351143.Google Scholar
Belsky, J., & Widaman, K. (2018). Integrating exploratory and competitive-confirmatory approaches to testing person-X-environment interactions. Journal of Child Psychology and Psychiatry, 59, 296298.10.1111/jcpp.12824Google Scholar
Belsky, J., & van Ijzendoorn, I. M. H. (2017). Genetic differential susceptibility to the effects of parenting. Current Opinion in Psychology, 15, 125130.Google Scholar
Bukh, J. D., Bock, C., Vinberg, M., Werge, T., Gether, U., & Vedel Kessing, L. (2009). Interaction between genetic polymorphisms and stressful life events in first episode depression. Journal of Affective Disorders, 119, 107115.Google Scholar
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., & Poulton, R. (2003). Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene. Science, 301, 386389.Google Scholar
Eley, T. C., Sugden, K., Corsico, A., Gregory, A. M., Sham, P., McGuffin, P., Plomin, R., & Craig, I. W. (2004). Gene-environment interaction analysis of serotonin system markers with adolescent depression. Molecular Psychiatry, 9, 908915.Google Scholar
Ellis, B. J., Boyce, W. T., Belsky, J., Bakermans-Kranenburg, M. J., & van Ijzendoorn, M. H. (2011). Differential susceptibility to the environment: An evolutionary--neurodevelopmental theory. Development and Psychopathology, 23, 728.Google Scholar
Kendler, K. S., Kuhn, J. W., Vittum, J., Prescott, C. A., & Riley, B. (2005). The interaction of stressful life events and a serotonin transporter polymorphism in the prediction of episodes of major depression: A replication. Archives of General Psychiatry, 62, 529535.Google Scholar
Roisman, G. I., Newman, D. A., Fraley, R. C., Haltigan, J. D., Groh, A. M., & Haydon, K. C. (2012). Distinguishing differential susceptibility from diathesis-stress: Recommendations for evaluating interaction effects. Development and Psychopathology, 24, 389409.Google Scholar
Silveira, P. P., Pokhvisneva, I., Parent, C., Cai, S., Rema, A. S. S., Broekman, B. F. P., Rifkin-Graboi, A., Pluess, M., O'Donnell, K. J., & Meaney, M. J. (2017). Cumulative prenatal exposure to adversity reveals associations with a broad range of neurodevelopmental outcomes that are moderated by a novel, biologically informed polygenetic score based on the serotonin transporter solute carrier family C6, member 4 (SLC6A4) gene expression. Development and Psychopathology, 29, 16011617.Google Scholar
Widaman, K. F., Helm, J. L., Castro-Schilo, L., Pluess, M., Stallings, M. C., & Belsky, J. (2012). Distinguishing ordinal and disordinal interactions. Psychological Methods 17, 615622.Google Scholar