This project aims to develop and apply novel statistical approaches to address key challenges in the etiology of substance use, abuse and dependence. These are: high-density data; genotype by environment interplay; measurement; onset and offset; and comorbidity. Recent advances in genomic and other -omic technologies, neuroimaging, and near-continuous assessments of environment, location and behavior are creating unprecedented opportunities to understand the interplay between genetic and environmental risk factors for substance use behaviors. The project will develop new statistical models and computationally efficient software and methods to permit data mining of substance use phenotypes, genotypes and environmental measures. These models include those for: detecting GxE interaction in the presence of variable measurement precision; incorporating genetic marker and other high-density data into structural equation models to distinguish direct from indirect effects; models for gene-environment interplay, especially niche-selection; mixture distribution models of comorbidity; alternative models for symptoms co-occurrence; and regime switching to better characterize alternative pathways to outcomes. The new methods and models will be applied to datasets including measured genotypes and environmental risk factors collected in the United States, The Netherlands and Australia by project team members, The new models and methods will be disseminated freely and greatly increase the value of existing datasets and those being assembled with novel technologies.

Public Health Relevance

Substance use abuse and dependence are especially complex, with genetic and environmental risk factors, with highly variable patterns of onset, offset and comorbidity with psychiatric disorders, cardiovascular disease and cancer. This project will develop statistical methods and software to improve the prediction of drug use, abuse and dependence, and its treatment and prevention.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA018673-16
Application #
9636526
Study Section
Behavioral Genetics and Epidemiology Study Section (BGES)
Program Officer
Weinberg, Naimah Z
Project Start
2004-09-30
Project End
2021-01-31
Budget Start
2019-02-01
Budget End
2021-01-31
Support Year
16
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Virginia Commonwealth University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
105300446
City
Richmond
State
VA
Country
United States
Zip Code
23298
Bartels, Meike; Hendriks, Anne; Mauri, Matteo et al. (2018) Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16 years from multiple raters in six cohorts in the EU-ACTION project. Eur Child Adolesc Psychiatry 27:1105-1121
Minic?, Camelia C; Verweij, Karin J H; van der Most, Peter J et al. (2018) Genome-wide association meta-analysis of age at first cannabis use. Addiction 113:2073-2086
Maes, Hermine H; Morley, Kate; Neale, Michael C et al. (2018) Cross-Cultural Comparison of Genetic and Cultural Transmission of Smoking Initiation Using an Extended Twin Kinship Model. Twin Res Hum Genet 21:179-190
Gillespie, Nathan A; Neale, Michael C; Bates, Timothy C et al. (2018) Testing associations between cannabis use and subcortical volumes in two large population-based samples. Addiction :
Do, Elizabeth K; Prom-Wormley, Elizabeth C; Fuemmeler, Bernard F et al. (2018) Associations Between Initial Subjective Experiences with Tobacco and Self-Reported Recent Use in Young Adulthood. Subst Use Misuse 53:2291-2298
McKee, Kevin L; Rappaport, Lance M; Boker, Steven M et al. (2018) Adaptive Equilibrium Regulation: Modeling Individual Dynamics on Multiple Timescales. Struct Equ Modeling 25:888-905
Bornovalova, Marina A; Verhulst, Brad; Webber, Troy et al. (2018) Genetic and environmental influences on the codevelopment among borderline personality disorder traits, major depression symptoms, and substance use disorder symptoms from adolescence to young adulthood. Dev Psychopathol 30:49-65
Verhulst, Brad; Neale, Michael C; Eaves, Lindon J et al. (2018) Extended Twin Study of Alcohol Use in Virginia and Australia. Twin Res Hum Genet 21:163-178
Baker, Jessica H; Johnson, Nicole K; Munn-Chernoff, Melissa A et al. (2018) Illicit Drug Use, Cigarette Smoking, and Eating Disorder Symptoms: Associations in an Adolescent Twin Sample. J Stud Alcohol Drugs 79:720-724
Boker, Steven M; Martin, Mike (2018) A Conversation between Theory, Methods, and Data. Multivariate Behav Res :1-14

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