The goal of this project is to make a significant contribution to the discovery of genes influencing cannabis use disorders (CUD). Given the widespread use of cannabis, increasing recognition of the potential health effects of this drug, and a growing recognition of CUDs as distinct clinical entities, this application seeks funding to conduct clinical interviews on a large sample of Australian twins and their non-twin siblings, and run genome wide linkage and individual genome wide association scan (WGAS) to detect quantitative trait loci (QTL) for CUDs.
The specific aims are:
Aim 1 : To fund structured clinical interviews in order to obtain item level data and DSM-IV diagnoses of cannabis abuse and dependence on 1000 Australian twins and their non-twin siblings from the Brisbane Adolescent Twin Sample. Item level data and DSM-IV diagnoses for other drugs, as well as measures of lifetime patterns of drug use, drug use disorders, and contextual and developmental risk factors for CUD phenotypes will also be obtained. Using the same model fitting strategy proposed in the K99 (see Section 4.D.3.2.4), these data will allow us to determine whether the best fitting empirical CUD phenotypes based on MATR data, provide a good fit to the Australian data.;
Aim 2 : Identify QTLs for CUDs using genome wide linkage analyses based on 1000 individuals from 460 families, followed by individual WGAS analyses on 3000 individuals. The damage to individuals and the social cost to the community caused by CUDs are enormous. The identification of QTLs responsible for CUDs is required to fill gaps in our knowledge, to develop targeted treatments, and to provide an empirical basis for addressing policy issues and public concerns about the cause of cannabis use disorders. By capitalizing on the US and Australian data, Dr Gillespie is also proposing, as part of future analyses, a number of enormously cost-effective opportunities to test novel research questions and specific hypotheses which will improve our understanding of drug use disorders. These will enable us to determine the degree to which genetic liability to CUDs can be explained by the same QTLs responsible for liability to other drug use disorders and/or psychiatric disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Transition Award (R00)
Project #
5R00DA023549-05
Application #
8309440
Study Section
Special Emphasis Panel (NSS)
Program Officer
Weinberg, Naimah Z
Project Start
2010-09-15
Project End
2013-07-31
Budget Start
2012-08-01
Budget End
2013-07-31
Support Year
5
Fiscal Year
2012
Total Cost
$242,659
Indirect Cost
$36,931
Name
Virginia Commonwealth University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
105300446
City
Richmond
State
VA
Country
United States
Zip Code
23298
Meier, Madeline H; Gillespie, Nathan A; Hansell, Narelle K et al. (2014) Associations between depression and anxiety symptoms and retinal vessel caliber in adolescents and young adults. Psychosom Med 76:732-8
Kubarych, Thomas S; Kendler, Kenneth S; Aggen, Steven H et al. (2014) Comparing factor, class, and mixture models of cannabis initiation and DSM cannabis use disorder criteria, including craving, in the Brisbane longitudinal twin study. Twin Res Hum Genet 17:89-98
Wichers, Marieke; Gillespie, Nathan A; Kendler, Kenneth S (2013) Genetic and environmental predictors of latent trajectories of alcohol use from adolescence to adulthood: a male twin study. Alcohol Clin Exp Res 37:498-506
Gillespie, Nathan A; Henders, Anjali K; Davenport, Tracy A et al. (2013) The Brisbane Longitudinal Twin Study: Pathways to Cannabis Use, Abuse, and Dependence project-current status, preliminary results, and future directions. Twin Res Hum Genet 16:21-33
Ebejer, Jane L; Duffy, David L; van der Werf, Julius et al. (2013) Genome-wide association study of inattention and hyperactivity-impulsivity measured as quantitative traits. Twin Res Hum Genet 16:560-74
Gillespie, Nathan A; Neale, Michael C; Legrand, Lisa N et al. (2012) Are the symptoms of cannabis use disorder best accounted for by dimensional, categorical, or factor mixture models? A comparison of male and female young adults. Psychol Addict Behav 26:68-77
Gillespie, Nathan A; Lubke, Gitta H; Gardner, Charles O et al. (2012) Two-part random effects growth modeling to identify risks associated with alcohol and cannabis initiation, initial average use and changes in drug consumption in a sample of adult, male twins. Drug Alcohol Depend 123:220-8
Gillespie, Nathan A; Kendler, Kenneth S; Neale, Michael C (2011) Psychometric modeling of cannabis initiation and use and the symptoms of cannabis abuse, dependence and withdrawal in a sample of male and female twins. Drug Alcohol Depend 118:166-72