This application """"""""A developmental model of gene-environment interplay in SUDs"""""""" (substance use disorders), responds to NIDA RFA-DA-70-012. It brings together investigators with existing data that meet the requirements of the U01: Duke University (sample N-1400) and Virginia Commonwealth University (N-1000). UNC Chapel Hill, as well as Duke and VCU, will contribute expertise psychiatric genetics, bioinformatics and statistics, as well as in the clinical care of substance abusing and psychiatric patients. All the investigators have worked together for many years on other projects and grants. The studies have large, representative population-based samples;multiple waves of data collection on males and females across childhood to adulthood;DSM-IV diagnoses and scales on SUD at every stage from initiation to addiction;details of age at initiation, type, amount, context, and associated impairment;and a wide range of related phenotypes and environmental risk factors at different levels of analysis, from biological to social. One study has blood samples;one has buccal cells and will collect blood. Both have or are collecting participant consent to deposit information in the NIDA repository and share data with other qualified researchers outside their own group. The model underlying this application has three components: (1) the existence and relevance of two phenotypes: (i) initiation of the use of a substance and (ii) progression to SUD, each with both common and specific genetic and environmental risk factors;(2) the presence of genetic and environmental risk and protective factors that are common across drugs;(3) the differential influence of aspects of development on the likelihood of drug initiation and progression in the presence/absence of genetic and environmental risk.
Specific Aims : (1) Finalize blood collection and DNA extraction;(2) Integrate variables across data sets;(3) Conduct genome wide association (GWA) genotyping for all subjects;(4) Conduct statistical analysis of genotype and haplotype associations for the initiation and progression for candidate gene SNP lists (5) Finalize list of GWA SNPs that are highly plausible candidate genes for initiation and progression, with and without environmental/developmental interplay;(6) Examine gene-environment-development interplay;(7) Throughout, communicate with other U01 members;(8) prepare data for inclusion in NIDA repository;(9) Help develop guidelines for including non-clinical samples in the repository.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA024413-05
Application #
8109355
Study Section
Special Emphasis Panel (ZDA1-RXL-E (25))
Program Officer
Weinberg, Naimah Z
Project Start
2007-09-30
Project End
2014-06-30
Budget Start
2011-07-01
Budget End
2014-06-30
Support Year
5
Fiscal Year
2011
Total Cost
$1,241,375
Indirect Cost
Name
Duke University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Clark, Shaunna L; McClay, Joseph L; Adkins, Daniel E et al. (2017) Deep Sequencing of 71 Candidate Genes to Characterize Variation Associated with Alcohol Dependence. Alcohol Clin Exp Res 41:711-718
Verhulst, Brad; Maes, Hermine H; Neale, Michael C (2017) GW-SEM: A Statistical Package to Conduct Genome-Wide Structural Equation Modeling. Behav Genet 47:345-359
Clark, Shaunna L; McClay, Joseph L; Adkins, Daniel E et al. (2016) Deep Sequencing of Three Loci Implicated in Large-Scale Genome-Wide Association Study Smoking Meta-Analyses. Nicotine Tob Res 18:626-31
Costello, E Jane; Maughan, Barbara (2015) Annual research review: Optimal outcomes of child and adolescent mental illness. J Child Psychol Psychiatry 56:324-41
Morris, Richard W; Taylor, Amy E; Fluharty, Meg E et al. (2015) Heavier smoking may lead to a relative increase in waist circumference: evidence for a causal relationship from a Mendelian randomisation meta-analysis. The CARTA consortium. BMJ Open 5:e008808
Adkins, Daniel E; Clark, Shaunna L; Copeland, William E et al. (2015) Genome-Wide Meta-Analysis of Longitudinal Alcohol Consumption Across Youth and Early Adulthood. Twin Res Hum Genet 18:335-47
Maes, Hermine H M; Hatemi, Peter K; Neale, Michael C (2014) Lindon J. Eaves, Ph.D., M.A. (Oxon), D.Sc. Theory-model-data. Behav Genet 44:183-92
Shanahan, Lilly; Zucker, Nancy; Copeland, William E et al. (2014) Are children and adolescents with food allergies at increased risk for psychopathology? J Psychosom Res 77:468-73
Taylor, Amy E; Fluharty, Meg E; Bjørngaard, Johan H et al. (2014) Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium. BMJ Open 4:e006141
Costello, E Jane; Copeland, William E; Shanahan, Lilly et al. (2013) C-reactive protein and substance use disorders in adolescence and early adulthood: a prospective analysis. Drug Alcohol Depend 133:712-7

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