The goal of this new investigator research grant application is to conduct analyses exploring the interplay of genetic and environmental risk factors in the development of adolescent alcohol use, smoking, and related behaviors. Although it is widely accepted that genetic and environmental influences are both critical to the development of human behavior, most studies have explored these influences in parallel. A more complete understanding of the development of behavior necessitates direct study of how genetic and environmental influences interact to impact behavioral outcome. The incorporation of specific environmental measures into genetically informative designs and the development of more sophisticated mathematical models provides a powerful design to explore the effects of the environment and to test complex gene-environment interactions in ways not previously possible. Adolescent substance use provides a particularly relevant phenotype with which to study genetic and environmental interplay because multiple predictors, ranging from genes to familial, peer, school, and community influences, are known to be important. Secondary analyses of rich, existent twin datasets are proposed to study how environmental conditions act and interact with genetic predispositions in the development of patterns of adolescent substance use. FinnTwin12 (FT12) is a population-based twin study of five consecutive birth cohorts of Finnish twins, studied at ages 12, 14, and 17, and assessed with self-report questionnaire and interview, parental and teacher reports, and in-school peer assessments, providing comprehensive information on alcohol use and related behaviors, as well as information on the twin's home environment, peers, and relevant aspects of the school and community. Data from The Missouri Twin Studies, which have a comparable study design, with similar assessments of both substance use and related environments across adolescence, will be analyzed to test the generalizability of gene-environment interplay effects detected in the FT12 sample. These analyses have the potential to significantly enhance our understanding of the impact of environmental influences across adolescence and how the environment acts and interacts with genetic predispositions to impact behavioral outcome.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Project (R01)
Project #
5R01AA015416-02
Application #
7126062
Study Section
Behavioral Genetics and Epidemiology Study Section (BGES)
Program Officer
Scott, Marcia S
Project Start
2005-09-25
Project End
2010-08-31
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
2
Fiscal Year
2006
Total Cost
$201,697
Indirect Cost
Name
Washington University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Korhonen, Tellervo; Sihvola, Elina; Latvala, Antti et al. (2018) Early-onset tobacco use and suicide-related behavior - A prospective study from adolescence to young adulthood. Addict Behav 79:32-38
Dick, Danielle M (2018) Mapping Risk from Genes to Behavior: The Enduring and Evolving Influence of Irving Gottesman's Endophenotype Concept. Twin Res Hum Genet 21:306-309
Dick, Danielle M; Barr, Peter B; Cho, Seung Bin et al. (2018) Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the ""Other"" Next Steps. Genes Brain Behav 17:e12447
Salvatore, Jessica E; Savage, Jeanne E; Barr, Peter et al. (2018) Incorporating Functional Genomic Information to Enhance Polygenic Signal and Identify Variants Involved in Gene-by-Environment Interaction for Young Adult Alcohol Problems. Alcohol Clin Exp Res 42:413-423
Savage, Jeanne E; Rose, Richard J; Pulkkinen, Lea et al. (2018) Early maturation and substance use across adolescence and young adulthood: A longitudinal study of Finnish twins. Dev Psychopathol 30:79-92
Savage, Jeanne E; Salvatore, Jessica E; Aliev, Fazil et al. (2018) Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population-Based and Clinically Ascertained Samples. Alcohol Clin Exp Res 42:520-530
Barr, Peter B; Silberg, Judy; Dick, Danielle M et al. (2018) Childhood socioeconomic status and longitudinal patterns of alcohol problems: Variation across etiological pathways in genetic risk. Soc Sci Med 209:51-58
Dick, Danielle M (2018) Commentary for Special Issue of Prevention Science ""Using Genetics in Prevention: Science Fiction or Science Fact?"" Prev Sci 19:101-108
Salvatore, Jessica E; Dick, Danielle M (2018) Genetic influences on conduct disorder. Neurosci Biobehav Rev 91:91-101
Duncan, Laramie; Yilmaz, Zeynep; Gaspar, Helena et al. (2017) Significant Locus and Metabolic Genetic Correlations Revealed in Genome-Wide Association Study of Anorexia Nervosa. Am J Psychiatry 174:850-858

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