Although reliable associations have been established among a wide variety of social and biological precursors and risky, illegal, or psychopathological behavior in adolescence, the epidemiological and etiological details of how these factors combine remain to be understood in detail. Several extraordinarily detailed datasets are currently available, encompassing multiple cohorts, cultures and ethnicities. We propose to make use of unique and untapped potential in four existing datasets: The Australian Twin Registry, The Virginia 30,000, Add Health, and the Nonshared Environment and Adolescent Development project. Although the datasets all contain variables relevant to the explanation of disrupted development in adolescence, they have been collected with different emphases, ranging from the social and psychological to biological and genetic. The central theme of the current application is that family data, encompassing biological and social relations among parents and children, siblings, and twins, provides a unique window on the complex interplay of biological and social factors that combine in adolescent development. The application describes an integrated program of research combining the methodological and substantive expertise of a core group of investigators in behavioral genetics, developmental psychopathology, and social development in families. Throughout, our goal is to extend the limits of developmental social science in adolescence by employing genetically informative family data, while extending the scope of developmental behavioral genetics by getting beyond traditional variance partitioning approaches, applying genetically informative methods to the testing of specific questions about causal relations in complex developmental systems. Public Health Relevance: It is well-known that many aspects of family functioning and social environments like neighborhoods are associated with disrupted behavior in adolescence. In addition, there is a clear body of evidence demonstrating associations between biological characteristics of children and disrupted behavior. Both social and biological associations with problem behaviors in adolescence, however, can occur for at least two kinds of reasons, and it is crucial to be able to tell them apart. On the one hand it may be that the social or biological predictors actually cause the disrupted behavior; on the other hand, it could also turn out that the predictors are associated with the outcomes because of other factors. For example, if impoverished families provide less supervision to their children, and poverty also causes the children to be more likely to act out, lower supervision will be associated with acting out even though it does not cause it directly. ? ? ? ?

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Project (R01)
Project #
1R01HD053550-01A1
Application #
7265721
Study Section
Behavioral Genetics and Epidemiology Study Section (BGES)
Program Officer
Spittel, Michael
Project Start
2007-09-01
Project End
2010-08-31
Budget Start
2007-09-01
Budget End
2008-08-31
Support Year
1
Fiscal Year
2007
Total Cost
$298,742
Indirect Cost
Name
University of Virginia
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
065391526
City
Charlottesville
State
VA
Country
United States
Zip Code
22904
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Beam, Christopher R; Horn, Erin E; Hunt, Stacy Karagis et al. (2011) Revisiting the effect of marital support on depressive symptoms in mothers and fathers: a genetically informed study. J Fam Psychol 25:336-44
Schermerhorn, Alice C; D'Onofrio, Brian M; Turkheimer, Eric et al. (2011) A genetically informed study of associations between family functioning and child psychosocial adjustment. Dev Psychol 47:707-25
Johnson, Wendy; Turkheimer, Eric; Gottesman, Irving I et al. (2010) Beyond Heritability: Twin Studies in Behavioral Research. Curr Dir Psychol Sci 18:217-220
Harden, K Paige (2010) Does religious involvement protect against early drinking? A behavior genetic approach. J Child Psychol Psychiatry 51:763-71
Pettersson, Erik; Turkheimer, Eric (2010) Item Selection, Evaluation, and Simple Structure in Personality Data. J Res Pers 44:407-420
Loehlin, John C; Harden, K Paige; Turkheimer, Eric (2009) The effect of assumptions about parental assortative mating and genotype-income correlation on estimates of genotype-environment interaction in the National Merit Twin Study. Behav Genet 39:165-9
Harden, K Paige; D'Onofrio, Brian M; Van Hulle, Carol et al. (2009) Population density and youth antisocial behavior. J Child Psychol Psychiatry 50:999-1008
D'Onofrio, Brian M (2009) The need for more quasi-experimental studies of alcohol consumption during pregnancy. Addiction 104:1278-9; discussion 1279-80

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