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10-03-2017 | Uitgave 2/2018

Gene-Environment Interactions in ADHD: The Roles of SES and Chaos

Tijdschrift:: Journal of Abnormal Child Psychology > Uitgave 2/2018

Auteurs:: Karen L. Gould, William L. Coventry, Richard K. Olson, Brian Byrne

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Abstract

Although attention-deficit/hyperactivity disorder (ADHD) is highly heritable, emerging evidence suggests symptoms are associated with interactions between genes and the environment (GxE) during development. This study tested whether heritability of ADHD symptoms is moderated by two environmental factors: socioeconomic status (SES) and chaos (household disorganisation). A population sample of 520 twin pairs (N = 1040, 52.3% female) from 6 to 15 years completed measures of behavior and home environment. Structural equation modelling was then used to test whether environmental factors were associated with a change in the extent to which genes explain variability in ADHD symptoms. Neither chaos nor SES moderated heritability, with consistent contributions from both genes and environment indicated across socioeconomic strata and levels of chaos. This finding contrasts with those of previous research, underlining the need to replicate results in the emerging field of GxE research across different populations and statistical methods. Robust findings may assist in developing targeted interventions for genetically vulnerable individuals.

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Meer informatie

Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317–332. doi: 10.1007/BF02294359. CrossRef

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev .). Washington, DC: Author.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington: Author. CrossRef

Arnett, A. B., Pennington, B. F., Friend, A., Willcutt, E., Byrne, B., Samuelsson, S., & Olson, R. K. (2013). The SWAN captures variance at both the negative and positive ends of the ADHD symptom dimension. Journal of Attention Disorders, 17(2), 152–162. doi: 10.1177/1087054711427399. CrossRefPubMed

Asherson, Philip, and Thomas S. Price. (2012). Commentary: replication, replication, replication: the continued need to substantiate GxE effects in child psychopathology—a response to Laucht et al.(2012). Journal of Child Psychology and Psychiatry 53(4), 360–362.

Australian Bureau of Statistics. (2011). 2011 community profiles: Australia. .Retrieved from http://www.censusdata.abs.gov.au/census_services/getproduct/census/2011/communityprofile/0

Australian Bureau of Statistics. (2014). 6227.0: Education and work, Australia. Retrieved from http://www.abs.gov.au/ausstats/abs@.nsf/mf/6227.0

Belsky, J., & Pluess, M. (2009). Beyond diathesis stress: differential susceptibility to environmental influences. Psychological Bulletin, 135(6), 885–908. doi: 10.1037/a0017376. CrossRefPubMed

Biederman, J., Faraone, S. V., & Monuteaux, M. C. (2002). Differential effect of environmental adversity by gender: Rutter's index of adversity in a group of boys and girls with and without ADHD. American Journal of Psychiatry, 159(9), 1556–1562. doi: 10.1176/appi.ajp.159.9.1556. CrossRefPubMed

Bor, W., Najman, J. M., Andersen, M. J., O'Callaghan, M., Williams, G. M., & Behrens, B. C. (1997). The relationship between low family income and psychological disturbance in young children: an Australian longitudinal study. Australian and New Zealand Journal of Psychiatry, 31(5), 664–675. doi: 10.3109/00048679709062679. CrossRefPubMed

Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98–104. CrossRef

Coventry, W. L., & Keller, M. C. (2005). The extent of parameter bias in the classical twin design: a comparison of parameter estimates from the extended twin-family and classical twin designs. Twin Research and Human Genetics, 8(3), 214–223. CrossRefPubMed

Cronk, N. J., Slutske, W. S., Madden, P. A., Bucholz, K. K., Reich, W., & Heath, A. C. (2002). Emotional and behavioral problems among female twins: an evaluation of the equal environments assumption. Journal of the American Academy of Child & Adolescent Psychiatry, 41(7), 829–837. doi: 10.1097/00004583-200207000-00016. CrossRef

Deater-Deckard, K., Mullineaux, P. Y., Beekman, C., Petrill, S. A., Schatschneider, C., & Thompson, L. A. (2009). Conduct problems, IQ, and household chaos: a longitudinal multi-informant study. Journal of Child Psychology and Psychiatry, 50(10), 1301–1308. doi: 10.1111/j.1469-7610.2009.02108.x. CrossRefPubMedPubMedCentral

Dumas, J. E., Nissley, J., Nordstrom, A., Smith, E. P., Prinz, R. J., & Levine, D. W. (2005). Home chaos: Sociodemographic, parenting, interactional, and child correlates. Journal of Clinical Child & Adolescent Psychology, 34(1), 93–104. doi: 10.1207/s15374424jccp3401_9. CrossRef

Eaves, L., Rutter, M., Silberg, J. L., Shillady, L., Maes, H., & Pickles, A. (2000). Genetic and environmental causes of covariation in interview assessments of disruptive behavior in child and adolescent twins. Behavior Genetics, 30(4), 321–334. doi: 10.1023/A:1026553518272. CrossRefPubMed

Eaves, L. J. (2006). Genotype × environment interaction in psychopathology: fact or artifact? Twin Research and Human Genetics, 9(01), 1–8. doi: 10.1017/s0954579407000508. CrossRefPubMed

Ebejer, J. L., Medland, S. E., van der Werf, J., Gondro, C., Henders, A. K., Lynskey, M., et al. (2012). Attention deficit hyperactivity disorder in Australian adults: prevalence, persistence, conduct problems and disadvantage. PloS One, 7(10), e47404. doi: 10.1007/978-1-908517-79-1_2. CrossRefPubMedPubMedCentral

Evans, G. W., Gonnella, C., Marcynyszyn, L. A., Gentile, L., & Salpekar, N. (2005). The role of chaos in poverty and children's socioemotional adjustment. Psychological Science, 16(7), 560–565. doi: 10.1111/j.0956-7976.2005.01575.x. CrossRefPubMed

Evans, G. W., & Wachs, T. D. (2010). Chaos and its influence on children's development: an ecological perspective. Washington: American Psychological Association. CrossRef

Feinberg, M. E., Button, T. M. M., Neiderhiser, J. M., Reiss, D., & Hetherington, E. M. (2007). Parenting and adolescent antisocial behavior and depression: evidence of genotype x parenting environment interaction. Archives of General Psychiatry, 64(4), 457–465. doi: 10.1001/archpsyc.64.4.457. CrossRefPubMed

Friend, A., DeFries, J. C., & Olson, R. K. (2008). Parental education moderates genetic influences on reading disability. Psychological Science, 19, 1124–1130. CrossRefPubMedPubMedCentral

Froehlich, T. E., Anixt, J. S., Loe, I. M., Chirdkiatgumchai, V., Kuan, L., & Gilman, R. C. (2011). Update on environmental risk factors for attention-deficit/hyperactivity disorder. Current Psychiatry Reports, 13(5), 333–344. doi: 10.1007/s11920-011-0221-3. CrossRefPubMedPubMedCentral

Gizer, I. R., Waldman, I. D., Abramowitz, A., Feng, Y., Wigg, K. G., Misener, V. L., et al. (2008). Relations between multi-informant assessments of ADHD symptoms, DAT1, and DRD4. Journal of Abnormal Psychology, 117(4), 869–880. doi: 10.1037/a0013297. CrossRefPubMed

Greven, C. U., Kovas, Y., Willcutt, E. G., Petrill, S. A., & Plomin, R. (2014). Evidence for shared genetic risk between ADHD symptoms and reduced mathematics ability: a twin study. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 55(1), 39–48. doi: 10.1111/jcpp.12090. CrossRefPubMed

Hanscombe, K. B., Trzaskowski, M., Haworth, C. M., Davis, O. S., Dale, P. S., & Plomin, R. (2012). Socioeconomic status (SES) and children’s intelligence (IQ): in a UK-representative sample SES moderates the environmental, not genetic, effect on IQ. PloS One, 7(2), e30320. doi: 10.1371/journal.pone.0030320. CrossRefPubMedPubMedCentral

Hart, S. A., Petrill, S. A., Deater Deckard, K., & Thompson, L. A. (2007). SES and CHAOS as environmental mediators of cognitive ability: a longitudinal genetic analysis. Intelligence, 35(3), 233–242. doi: 10.1016/j.intell.2006.08.004. CrossRefPubMedPubMedCentral

Hay, D. A., Bennett, K. S., Levy, F., Sergeant, J., & Swanson, J. (2007). A twin study of attention-deficit/hyperactivity disorder dimensions rated by the strengths and weaknesses of ADHD-symptoms and normal-behavior (SWAN) scale. Biological Psychiatry, 61(5), 700–705. doi: 10.1016/j.biopsych.2006.04.040. CrossRefPubMed

Hoaglin, D. C., & Iglewicz, B. (1987). Fine-tuning some resistant rules for outlier labeling. Journal of the American Statistical Association, 82(400), 1147–1149. doi: 10.1080/01621459.1987.10478551. CrossRef

Hoyle, R. H. (2012). Handbook of structural equation modeling. New York: Guilford Press.

Huggins, R. M., Leosch, D. Z., & Hoang, N. H. (1989). A comparison of methods of fitting models to twin data. Australian and New Zealand Journal of Statistics, 40(2), 129–140. CrossRef

Kawabata, Y., Tseng, W.-L., & Gau, S. S.-F. (2012). Symptoms of attention-deficit/hyperactivity disorder and social and school adjustment: the moderating roles of age and parenting. Journal of Abnormal Child Psychology, 40(2), 177–188. doi: 10.1007/s10802-011-9556-9. CrossRefPubMed

Keller, M. C., & Coventry, W. L. (2005). Quantifying and addressing parameter indeterminacy in the classical twin design. Twin Research and Human Genetics, 8(3), 201–213. CrossRefPubMed

Kline, R. B. (2011). Principles and practice of structural equation modeling: New York: Guilford press.

Kuntsi, J., Pinto, R., Price, T. S., van der Meere, J. J., Frazier-Wood, A. C., & Asherson, P. (2014). The separation of ADHD inattention and hyperactivity-impulsivity symptoms: pathways from genetic effects to cognitive impairments and symptoms. Journal of Abnormal Child Psychology, 42(1), 127–136. doi: 10.1007/s10802-013-9771-7. CrossRefPubMedPubMedCentral

Larsson, H., Anckarsater, H., Rastam, M., Chang, Z., & Lichtenstein, P. (2012). Childhood attention-deficit hyperactivity disorder as an extreme of a continuous trait: a quantitative genetic study of 8,500 twin pairs. Journal of Child Psychology and Psychiatry, 53, 73–80. CrossRefPubMed

Lemery-Chalfant, K., Kao, K., Swann, G., & Goldsmith, H. H. (2013). Childhood temperament: passive gene–environment correlation, gene–environment interaction, and the hidden importance of the family environment. Development and Psychopathology, 25(1), 51–63. doi: 10.1017/S0954579412000892. CrossRefPubMedPubMedCentral

Little, R., & Rubin, D. (1987). Statistical analysis with missing data. New York: Wiley.

Lykken, D. T., Bouchard, T. J., McGue, M., & Tellegen, A. (1990). The Minnesota twin family registry: some initial findings. Acta geneticae medicae et gemellologiae: twin research, 39(01), 35–70. CrossRefPubMed

Matheny, A. P., Wachs, T. D., Ludwig, J. L., & Phillips, K. (1995). Bringing order out of chaos: psychometric characteristics of the confusion, hubbub, and order scale. Journal of Applied Developmental Psychology, 16(3), 429–444. doi: 10.1016/0193-3973(95)90028-4. CrossRef

McGue, M., & Bouchard Jr., T. (1984). Adjustment of twin data for the effects of age and sex. Behavior Genetics, 14(4), 325–343. doi: 10.1007/BF01080045. CrossRefPubMed

Mueller, R. O., & Hancock, G. R. (2008). Best practices in structural equation modeling. In J. W. Osborne (Ed.), Best practices in quantitative methods (pp. 488–508). Thousand Oaks: Sage Publications, Inc.. CrossRef

Neale, M., Boker, S., Xie, G., & Maes, H. (2003). Mx: Statistical modeling. Richmond: Virginia Commonwealth University.

Nigg, J. (2010). Measured gene-by-environment interaction in relation to attention-deficit/hyperactivity disorder. Journal of the American Academy of Child Adolescent Psychiatry, 49(9), 863–873. doi: 10.1016/j.jaac.2010.01.025. CrossRefPubMedPubMedCentral

Nikolas, M. A., & Burt, S. A. (2010). Genetic and environmental influences on ADHD symptom dimensions of inattention and hyperactivity: a meta-analysis. Journal of Abnormal Psychology, 119(1), 1. doi: 10.1037/a0018010. CrossRefPubMed

Nikolas, M. A., Klump, K. L., & Burt, S. A. (2012). Youth appraisals of inter-parental conflict and genetic and environmental contributions to attention-deficit hyperactivity disorder: examination of GxE effects in a twin sample. Journal of Abnormal Child Psychology, 40(4), 543–554. doi: 10.1007/s10802-011-9583-6. CrossRefPubMedPubMedCentral

Nikolas, M. A., Klump, K. L., & Burt, S. A. (2014). Parental involvement moderates etiological influences on attention deficit hyperactivity disorder behaviors in child twins. Child Development, 86(1), 224–240. doi: 10.1111/cdev.12296. CrossRefPubMedPubMedCentral

Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251). doi: 10.1126/science.aac4716.

Pennington, B. F., McGrath, L. M., Rosenberg, J., Barnard, H., Smith, S. D., Willcutt, E. G., & Olson, R. K. (2009). Gene x environment interactions in reading disability and attention-deficit/hyperactivity disorder. Developmental Psychology, 45(1), 77. doi: 10.5353/th_b5223981. CrossRefPubMedPubMedCentral

Pike, A., Iervolino, A. C., Eley, T. C., Price, T. S., & Plomin, R. (2006). Environmental risk and young children's cognitive and behavioral development. International Journal of Behavioral Development, 30(1), 55–66. doi: 10.1177/0165025406062124. CrossRef

Plomin, R., DeFries, J. C., McClearn, G. E., & McGuffin, P. (2001). Behavioral genetics. New York: Worth Publishers.

Polanczyk, G., de Lima, M. S., Horta, B. L., Biederman, J., & Rohde, L. A. (2007). The worldwide prevalence of ADHD: a systematic review and metaregression analysis. The American Journal of Psychiatry, 164(6), 942–948. doi: 10.1176/ajp.2007.164.6.942. CrossRefPubMed

Purcell, S. (2002). Variance components models for gene-environment interaction in twin analysis. Twin research: The Official Journal of the International Society for Twin Studies, 5(6), 554–571. doi: 10.1375/136905202762342026. CrossRef

Qualtrics. (2014). Computer software. Qualtrics Research Suite: Provo.

Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163. doi: 10.2307/271063. CrossRef

Rathouz, P. J., Van Hulle, C. A., Lee Rodgers, J., Waldman, I. D., & Lahey, B. B. (2008). Specification, testing, and interpretation of gene-by-measured-environment interaction models in the presence of gene-environment correlation. Behavior Genetics, 38(3), 301-315. doi: 10.1007/s10519-008-9193-4.

Russell, G., Ford, T., Rosenberg, R., & Kelly, S. (2014). The association of attention deficit hyperactivity disorder with socioeconomic disadvantage: alternative explanations and evidence. Journal of Child Psychology and Psychiatry, 55(5), 436–445. doi: 10.1111/jcpp.12170. CrossRefPubMed

Sclove, S. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52(3), 333–343. doi: 10.1007/BF02294360. CrossRef

Swanson, J., Schuck, S., Mann, M., Carlson, C., Hartman, K., Sergeant, J., & McCleary, R. (2006). Categorical and dimensional definitions and evaluations of symptoms of ADHD: the SNAP and SWAN rating scales. Irvine: University of California.

Thapar, A., Langley, K., Asherson, P., & Gill, M. (2007). Gene-environment interplay in attention-deficit hyperactivity disorder and the importance of a developmental perspective. The British Journal of Psychiatry, 190(1), 1–3. doi: 10.1192/bjp.bp.106.027003. CrossRefPubMed

Tucker-Drob, E. M., & Bates, T. C. (2015). Large cross-national differences in gene × socioeconomic status interaction on intelligence. Psychological Science. doi: 10.1177/0956797615612727.

van der Sluis, S., Posthuma, D., & Dolan, C. (2012). A note on false positives and power in G× E modelling of twin data. Behavior Genetics, 42(1), 170–186. CrossRefPubMed

Van Hulle, C. A., & Rathouz, P. J. (2015). Operating characteristics of statistical methods for detecting gene-by-measured environment interaction in the presence of gene-environment correlation under violations of distributional assumptions. Twin Research and Human Genetics, 18(1), 19-27. doi: 10.1017/thg.2014.81.

Vink, J. M., Bartels, M., Van Beijsterveldt, T. C., Van Dongen, J., Van Beek, J. H., Distel, M. A., et al. (2012). Sex differences in genetic architecture of complex phenotypes? PloS One, 7(12), e47371. CrossRefPubMedPubMedCentral

Wang, Z., Deater-Deckard, K., Petrill, S. A., & Thompson, L. A. (2012). Externalizing problems, attention regulation, and household chaos: a longitudinal behavioral genetic study. Development and Psychopathology, 24(03), 755–769. doi: 10.1017/s0954579412000351. CrossRefPubMedPubMedCentral

Wermter, A.-K., Laucht, M., Schimmelmann, B. G., Banaschweski, T., Sonuga-Barke, E. J. S., Rietschel, M., & Becker, K. (2010). From nature versus nurture, via nature and nurture, to gene × environment interaction in mental disorders. European Child & Adolescent Psychiatry, 19(3), 199–210. doi: 10.1007/s00787-009-0082-z. CrossRef

Widaman, K. F., Little, T. D., Preacher, K. J., & Sawalani, G. M. (2011). On creating and using short forms of scales in secondary research. In K. H. Trzesniewski, M. B. Donnellan, & R. E. Lucas (Eds.), Secondary data analysis: an introduction for psychologists (pp. 39–61). Washington: American Psychological Association. CrossRef

Willcutt, E. (2005). The etiology of ADHD: behavioral and molecular genetic approaches. In D. Barch (Ed.), Cognitive and affective neuroscience of psychopathology. Oxford: Oxford University Press.

Titel: Gene-Environment Interactions in ADHD: The Roles of SES and Chaos
Auteurs:: Karen L. Gould
William L. Coventry
Richard K. Olson
Brian Byrne
Publicatiedatum: 10-03-2017
DOI: https://doi.org/10.1007/s10802-017-0268-7
Uitgeverij: Springer US
Tijdschrift: Journal of Abnormal Child Psychology An official publication of the International Society for Research in Child and Adolescent Psychopathology
Uitgave 2/2018
Print ISSN: 0091-0627
Elektronisch ISSN: 1573-2835

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