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Generalist genes and specialist environments for adolescent internalizing and externalizing problems: A test of severity and directionality

Published online by Cambridge University Press:  19 October 2020

Kristine Marceau Open the ORCID record for Kristine Marceau [Opens in a new window]  and
Jenae Neiderhiser
Kristine Marceau*
Affiliation:
Human Development and Family Studies, Purdue University, West Lafayette, IN, USA Department of Psychology, The Pennsylvania State University, University Park, PA, USA
Jenae Neiderhiser
Affiliation:
Human Development and Family Studies, Purdue University, West Lafayette, IN, USA Department of Psychology, The Pennsylvania State University, University Park, PA, USA
*
Author for Correspondence: Kristine Marceau, 225 Hanley Hall, 1202 W. State Street, West Lafayette, IN 47907; E-mail: kristinemarceau@purdue.edu.
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Abstract

The generalist genes specialist environment model, when applied to developmental psychopathology, predicts that genetic influences should explain variance that is shared across internalizing and externalizing problems, whereas environmental influences should explain variance that distinguishes the two overarching problem types. The present study is a direct test of this hypothesis, leveraging a sample of 708 twins and siblings (aged 10–18 years, 93% White) from the United States. Measures of severity of symptoms, regardless of type, and of directionality of symptoms – whether the adolescent tended to exhibit more externalizing or internalizing problems – were subjected to genetic (A), shared environmental (C), and nonshared environmental (E) (ACE) variance decompositions. As expected, severity of problems was under substantial genetic influence, but there were also significant shared and nonshared environmental influences. Contrary to the generalist genes specialist environment model, directionality of problem type was also under considerable genetic influence, with modest nonshared environmental influence. Findings corroborate existing evidence from other designs highlighting the role of familial influences (including generalist genes) in comorbidity of adolescent internalizing and externalizing problems, but suggest that the specialist environments hypothesis may not be the key factor in distinguishing problem type.

Keywords

comorbid internalizing and externalizinggeneralist genesseverity and directionalityspecialist environmentstwin study

Information

Type
Regular Article
Information
Development and Psychopathology , Volume 34 , Issue 1 , February 2022 , pp. 379 - 386
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Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

Boker, S., Neale, M., Maes, H., Wilde, M., Spiegel, M., Brick, T. R., Fox, J. et al. (2010). OpenMx: Multipurpose software for statistical modeling. R package version 1.0.4. Retrieved from http://openmx.psyc.virginia.eduGoogle Scholar
Brikell, I., Larsson, H., Lu, Y., Pettersson, E., Chen, Q., Kuja-Halkola, R., … Martin, J. (2020). The contribution of common genetic risk variants for ADHD to a general factor of childhood psychopathology. Molecular Psychiatry, 25, 1809–1821. doi:10.1038/s41380-018-0109-2.CrossRefGoogle ScholarPubMed
Burt, S. A. (2009). Rethinking environmental contributions to child and adolescent psychopathology: A meta-analysis of shared environmental influences. Psychological Bulletin, 135, 608–637. doi:10.1037/a0015702CrossRefGoogle ScholarPubMed
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., … Moffitt, T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science: A journal of the Association for Psychological Science, 2, 119–137. doi:10.1177/2167702613497473CrossRefGoogle Scholar
Chen, T.-J., Ji, C.-Y., Wang, S.-S., Lichtenstein, P., Larsson, H., & Chang, Z. (2016). Genetic and environmental influences on the relationship between ADHD symptoms and internalizing problems: A Chinese twin study. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171, 931–937. doi:10.1002/ajmg.b.32411CrossRefGoogle ScholarPubMed
Cosgrove, V. E., Rhee, S. H., Gelhorn, H. L., Boeldt, D., Corley, R. C., Ehringer, M. A., … Hewitt, J. K. (2011). Structure and etiology of co-occurring internalizing and externalizing disorders in adolescents. Journal of Abnormal Child Psychology, 39, 109–123. doi:10.1007/s10802-010-9444-8CrossRefGoogle ScholarPubMed
Eley, T. C. (1997). General genes: A new theme in developmental psychopathology. Current Directions in Psychological Science, 6, 90–95. doi:10.1111/1467-8721.ep11512831CrossRefGoogle Scholar
Essex, M. J., Klein, M. H., Cho, E., & Kraemer, H. C. (2003). Exposure to maternal depression and marital conflict: Gender differences in children's later mental health symptoms. Journal of the American Academy of Child & Adolescent Psychiatry, 42, 728–737. doi:10.1097/01.CHI.0000046849.56865.1DCrossRefGoogle ScholarPubMed
Essex, M. J., Kraemer, H. C., Armstrong, J. M., Boyce, T., Goldsmith, H. H., Klein, M. H., … Kupfer, D. J. (2006). Exploring risk factors for the emergence of children's mental health problems. Archives of General Psychiatry, 63, 1246–1256. doi:10.1001/archpsyc.63.11.1246CrossRefGoogle ScholarPubMed
Essex, M. J., Shirtcliff, E. A., Burk, L. R., Ruttle, P. L., Klein, M. H., Slattery, M. J., … Armstrong, J. M. (2011). Influence of early life stress on later hypothalamic-pituitary-adrenal axis functioning and its covariation with mental health symptoms: A study of the allostatic process from childhood into adolescence. Development and Psychopathol, 23, 1039–1058. doi:10.1017/s0954579411000484CrossRefGoogle ScholarPubMed
Goldsmith, H. H. (1991). A zygosity questionnaire for young twins: A research note. Behavior Genetics, 21, 257–269. doi:10.1007/BF01065819CrossRefGoogle ScholarPubMed
Hetherington, E. M., & Clingempeel, W. G. (1992). Coping with marital transitions: A family systems perspective. Monographs of the Society for Research in Child Development, 57(2/3), 1–238. doi:10.2307/1166050.CrossRefGoogle Scholar
Jones, H. J., Heron, J., Hammerton, G., Stochl, J., Jones, P. B., Cannon, M., … Linden, D. E. (2018). Investigating the genetic architecture of general and specific psychopathology in adolescence. Translational Psychiatry, 8, 145. doi:10.1038/s41398-018-0204-9CrossRefGoogle ScholarPubMed
Kovacs, M. (1985). The children's depression inventory. Psychopharmacology Bulletin, 21, 995–998.Google ScholarPubMed
Kovas, Y., & Plomin, R. (2007). Learning abilities and disabilities: Generalist genes, specialist environments. Current Directions in Psychological Science, 16, 284–288. doi:10.1111/j.1467-8721.2007.00521.xCrossRefGoogle ScholarPubMed
Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017). A hierarchical causal taxonomy of psychopathology across the life span. Psychological Bulletin, 143, 142. doi:10.1037/bul0000069CrossRefGoogle ScholarPubMed
Lahey, B. B., Van Hulle, C. A., Singh, A. L., Waldman, I. D., & Rathouz, P. J. (2011). Higher-order genetic and environmental structure of prevalent forms of child and adolescent psychopathology. Archives of General Psychiatry, 68, 181–189. doi:10.1001/archgenpsychiatry.2010.192CrossRefGoogle ScholarPubMed
Luebbe, A. M., Elledge, L. C., Kiel, E. J., & Stoppelbein, L. (2012). Cortisol predicts behavioral dysregulation and length of stay among children admitted for psychiatric inpatient treatment. Journal of Clinical Child & Adolescent Psychology, 41, 227–238. doi:10.1080/15374416.2012.652000CrossRefGoogle ScholarPubMed
Marceau, K., Ruttle, P. L., Shirtcliff, E. A., Hastings, P. D., Klimes-Dougan, B., & Zahn-Waxler, C. (2015a). Within-person coupling of changes in cortisol, testosterone, and DHEA across the day in adolescents. Developmental Psychobiology, 57, 654–669. doi:10.1002/dev.21173CrossRefGoogle Scholar
Marceau, K., Zahn-Waxler, C., Shirtcliff, E. A., Schreiber, J. E., Hastings, P., & Klimes-Dougan, B. (2015b). Adolescents’, mothers’, and fathers’ gendered coping strategies during conflict: Youth and parent influences on conflict resolution and psychopathology. Development and Psychopathology, 27, 1025–1044. doi:10.1017/S0954579415000668CrossRefGoogle Scholar
Neiderhiser, J. M., Marceau, K., De Araujo-Greecher, M., Ganiban, J. M., Mayes, L. C., Shaw, D. S., … Leve, L. D. (2016). Estimating the roles of genetic risk, perinatal risk, and marital hostility on early childhood adjustment: Medical records and self-reports. Behavior Genetics, 46, 334–352. doi:10.1007/s10519-016-9788-0CrossRefGoogle ScholarPubMed
Neiderhiser, J. M., Reiss, D., & Hetherington, E. M. (2007). The Nonshared Environment in Adolescent Development (NEAD) Project: A longitudinal family study of twins and siblings from adolescence to young adulthood. Twin Research and Human Genetics, 10, 74–83. doi:10.1375/twin.10.1.74CrossRefGoogle ScholarPubMed
Nichols, R. C., & Bilbro, W. C. (1966). The diagnosis of twin zygosity. Acta Genetica, 16, 265–275.Google Scholar
O'Connor, T. G., McGuire, S., Reiss, D., Hetherington, E. M., & Plomin, R. (1998a). Co-occurrence of depressive symptoms and antisocial behavior in adolescence: A common genetic liability. Journal of Abnormal Psychology, 107, 27–37. doi:10.1037/0021-843X.107.1.27CrossRefGoogle Scholar
O'Connor, T. G., Neiderhiser, J. M., Reiss, D., Hetherington, E. M., & Plomin, R. (1998b). Genetic contributions to continuity, change, and co-occurrence of antisocial and depressive symptoms in adolescence. Journal of Child Psychology and Psychiatry, 39, 323–336. doi:10.1111/1469-7610.00328CrossRefGoogle Scholar
Pesenti-Gritti, P., Spatola, C. A., Fagnani, C., Ogliari, A., Patriarca, V., Stazi, M. A., & Battaglia, M. (2008). The co-occurrence between internalizing and externalizing behaviors. A general population twin study. European Child & Adolescent Psychiatry, 17, 82–92. doi:10.1007/s00787-007-0639-7CrossRefGoogle ScholarPubMed
Pettersson, E., Anckarsater, H., Gillberg, C., & Lichtenstein, P. (2013). Different neurodevelopmental symptoms have a common genetic etiology. Journal of Child Psychology and Psychiatry, 54, 1356–1365. doi:10.1111/jcpp.12113CrossRefGoogle ScholarPubMed
Pettersson, E., Lahey, B. B., Larsson, H., & Lichtenstein, P. (2018). Criterion validity and utility of the general factor of psychopathology in childhood: Predictive associations with independently measured severe adverse mental health outcomes in adolescence. Journal of the American Academy of Child & Adolescent Psychiatry, 57, 372–383. doi:10.1016/j.jaac.2017.12.016CrossRefGoogle ScholarPubMed
Reiss, D., Neiderhiser, J. M., Hetherington, E. M., & Plomin, R. (2000). The relationship code: Deciphering genetic and social influences on adolescent development. Cambridge, MA: Harvard University Press.Google Scholar
Rhee, S. H., Lahey, B. B., & Waldman, I. D. (2015). Comorbidity among dimensions of childhood psychopathology: Converging evidence from behavior genetics. Child Development Perspectives, 9, 26–31. doi:10.1111/cdep.12102CrossRefGoogle ScholarPubMed
Ruttle, P. L., Shirtcliff, E. A., Armstrong, J. M., Klein, M. H., & Essex, M. J. (2015). Neuroendocrine coupling across adolescence and the longitudinal influence of early life stress. Developmental Psychobiology, 57, 688–704. doi:10.1002/dev.21138CrossRefGoogle ScholarPubMed
Selzam, S., Coleman, J. R., Caspi, A., Moffitt, T. E., & Plomin, R. (2018). A polygenic p factor for major psychiatric disorders. Translational Psychiatry, 8, 205. doi:10.1038/s41398-018-0217-4CrossRefGoogle ScholarPubMed
Shirtcliff, E. A., & Essex, M. J. (2008). Concurrent and longitudinal associations of basal and diurnal cortisol with mental health symptoms in early adolescence. Developmental Psychobiology, 50, 690–703. doi:10.1002/dev.20336CrossRefGoogle ScholarPubMed
Spatola, C. A. M., Fagnani, C., Pesenti-Gritti, P., Ogliari, A., Stazi, M. A., & Battaglia, M. (2007). A general population twin study of the CBCL/6-18 DSM-oriented scales. Journal of the American Academy of Child and Adolescent Psychiatry, 46, 619–627. doi:10.1097/CHI.0b013e3180335b12CrossRefGoogle ScholarPubMed
Subbarao, A., Rhee, S. H., Young, S. E., Ehringer, M. A., Corley, R. P., & Hewitt, J. K. (2008). Common genetic and environmental influences on major depressive disorder and conduct disorder. Journal of Abnormal Child Psychology, 36, 433–444. doi:10.1007/s10802-007-9189-1CrossRefGoogle ScholarPubMed
Waldman, I. D., Poore, H. E., van Hulle, C., Rathouz, P. J., & Lahey, B. B. (2016). External validity of a hierarchical dimensional model of child and adolescent psychopathology: Tests using confirmatory factor analyses and multivariate behavior genetic analyses. Journal of Abnormal Psychology, 125, 1053–1066. doi:10.1037/abn0000183CrossRefGoogle ScholarPubMed
Zahn-Waxler, C., Shirtcliff, E. A., & Marceau, K. (2008). Disorders of childhood and adolescence: Gender and psychopathology. Annual Review of Clinical Psychology, 4, 275–303. doi:10.1146/annurev.clinpsy.3.022806.091358CrossRefGoogle ScholarPubMed
Zill, N. (1985). Behavior problems scales developed from the 1981 Child Health Supplement to the National Health Interview Survey. Washington, DC: Child Trends, Inc.Google Scholar