coga_banner2.png (17258 bytes)

COGA Instruments

Access

Genetic Data

Epi Data

Erp Data

Date Entry Software

Publications Contact

Links

Home

cogadata_logo.jpg (6437 bytes)

graphic1.png (53210 bytes)
Welcome to the Collaborative Study on the
Genetics of Alcoholism!
The Collaborative Study on the Genetics of Alcoholism (COGA) is a multi-site, multi-disciplinary undertaking with the overall goals of characterizing the familial transmission of alcoholism and related phenotypes and identifying susceptibility genes using genetic linkage.  The study is being coordinated by the SUNY Downstate Medical Center in Brooklyn and has four Co-Principal Investigators:  B. Porjesz, V. Hesselbrock, H. Edenberg, and L. Bierut.  COGA includes nine different centers where data collection, analysis, and storage take place.  The nine sites and Principal Investigators and Co-Investigators are:  University of Connecticut (V. Hesselbrock); Indiana University (H.J. Edenberg, J. Nurnberger Jr., T. Foroud); University of Iowa (S. Kuperman); SUNY Downstate (B. Porjesz); Washington University in St. Louis (L. Bierut, A. Goate, J. Rice); University of California at San Diego (M. Schuckit); Howard University (R. Taylor); Rutgers University (J. Tischfield); Southwest Foundation (L. Almasy).   Zhaoxia Ren serves as the NIAAA Staff Collaborator.  This national collaborative study is supported by the NIH Grant U10AA008401 from the National Institute on Alcohol Abuse and Alcoholism (NIAAA) and the National Institute on Drug Abuse (NIDA).

Interviewing and testing of COGA families is conducted at seven university centers:   SUNY Downstate Medical Center in Brooklyn, University of Connecticut, Indiana University, University of Iowa, University of California in San Diego, Howard University in Washington, D.C., and Washington University in St. Louis.  All seven sites will carry out the identical study protocol.  Most of these institutions continue to be responsible for maintaining scientific and procedural standards as well as quality control in their areas of expertise including Ascertainment, Psychiatric Assessment, Neurophysiology, Molecular Biology, and Genetic Analyses.  The scope and scale of COGA also necessitates a complex data management system.  The data management and repository functions are shared based on specialty by Washington University (clinical), Indiana University (pedigree), and SUNY (electrophysiology).  Washington University doubles as the overall data management and repository coordinating center.  In addition, a cell and DNA repository will be managed by Jay Tischfield now at Rutgers University.

This website has been viewed Hit Counter times.
Last updated 04/23/2008