COGA (Collaborative Study On the Genetics of Alcoholism) focuses on the identification and characterization of gene variants that contribute to the etiology of alcohol abuse, alcoholism and comorbid disorders, a goal more readily attained if clinical data and biological materials derived from a large number of subjects are ultimately shared by many researchers. This proposal summarizes the current activities of the Nl/'OWCOGA Sharing Repository (NCSR) and describes ongoing plans to expand its scope of activities to better serve the goals of the NIAAA and COGA. The COGA biosamples are housed in the Rutgers University Cell and DNA Repository (RUCDR), under the direction of Dr. Jay Tischfleld. For neariy twenty years, the NCSR has produced lymphoblast cell lines (LCLs), DNA from blood and LCLs, and (in the last two years) RNA from LCLs. The biosamples are available to COGA investigators and, along with the associated clinical data, to NIAAA-approved researchers outside of COGA. Genotyping of DNA provided by the NCSR produces data that will continue to Identify gene variants influencing endophenotypes and clinical phenotypes related to alcohol dependence and corresponding vulnerabilities, while the LCLs and blood-derived DNA provide a unique platform for functional genomic and epigenomic studies, respectively. The data management component of NCSR maintains an """"""""anonymized"""""""" database on family structure, age, sex, clinical status, and diagnoses (described in Data Management, Section V). COGA Pis and NIAAA-approved researchers may access data related to NCSR biosamples through a secure web site (www.niaaaqenetics.orq/).

National Institute of Health (NIH)
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Cooperative Clinical Research--Cooperative Agreements (U10)
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Special Emphasis Panel (ZAA1-CC)
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Suny Downstate Medical Center
United States
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Schwantes-An, Tae-Hwi; Zhang, Juan; Chen, Li-Shiun et al. (2016) Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts. Behav Genet 46:151-69
Chartier, Karen G; Dick, Danielle M; Almasy, Laura et al. (2016) Interactions Between Alcohol Metabolism Genes and Religious Involvement in Association With Maximum Drinks and Alcohol Dependence Symptoms. J Stud Alcohol Drugs 77:393-404
Olfson, E; Saccone, N L; Johnson, E O et al. (2016) Rare, low frequency and common coding variants in CHRNA5 and their contribution to nicotine dependence in European and African Americans. Mol Psychiatry 21:601-7
Oni, Eileen N; Hart, Ronald P (2016) Bioinformatic Analysis of DNA Methylation in Neural Progenitor Cell Models of Alcohol Abuse. Curr Pharmacol Rep 2:203-210
Sherva, Richard; Wang, Qian; Kranzler, Henry et al. (2016) Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks. JAMA Psychiatry 73:472-80
Johnson, Eric O; Hancock, Dana B; Levy, Joshua L et al. (2016) KAT2B polymorphism identified for drug abuse in African Americans with regulatory links to drug abuse pathways in human prefrontal cortex. Addict Biol 21:1217-1232
Dick, Danielle M; Adkins, Amy E; Kuo, Sally I-Chun (2016) Genetic influences on adolescent behavior. Neurosci Biobehav Rev 70:198-205
Zhao, Jiwei; Zhang, Heping (2016) Modeling Multiple Responses via Bootstrapping Margins with an Application to Genetic Association Testing. Stat Interface 9:47-56
Melroy-Greif, Whitney E; Simonson, Matthew A; Corley, Robin P et al. (2016) Examination of the Involvement of Cholinergic-Associated Genes in Nicotine Behaviors in European and African Americans. Nicotine Tob Res :
Agrawal, Arpana; Edenberg, Howard J; Gelernter, Joel (2016) Meta-Analyses of Genome-Wide Association Data Hold New Promise for Addiction Genetics. J Stud Alcohol Drugs 77:676-80

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