Defining alcohol-related phenotypes in humans: The collaborative study on the genetics of alcoholism

Laura Jean Bierut, Nancy L. Saccone, John P. Rice, Alison Goate, Tatiana Foroud, Howard Edenberg, Laura Almasy, P. Michael Conneally, Raymond Crowe, Victor Hesselbrock, T. K. Li, John Nurnberger, Bernice Porjesz, Marc A. Schuckit, Jay Tischfield, Henri Begleiter, Theodore Reich

    Research output: Contribution to journalArticlepeer-review

    69 Scopus citations


    Alcoholism is a disease that runs in families and results at least in part from genetic risk factors. The Collaborative Study on the Genetics of Alcoholism (COCA) is a Federally funded effort to identify and characterize those genetic factors. The study involves more than 1,000 alcoholic subjects and their families, with researchers conducting comprehensive psychological, physiological, electrophysiological, and genetic analyses of the participants. These analyses have identified several traits, or phenotypes, that appear to be genetically determined, such as the presence of alcohol dependence, the level of response to alcohol, the presence of coexisting depression, or the maximum number of drinks a person consumes per occasion. Genetic analyses have identified regions on several chromosomes that are associated with these phenotypes and need to be studied further.

    Original languageEnglish (US)
    Pages (from-to)208-213
    Number of pages6
    JournalAlcohol Research and Health
    Issue number3
    StatePublished - 2002


    • AODR (alcohol and other drug related) genetic markers
    • Aod dependence potential
    • Aod intake per occasion
    • Chromosome
    • Comorbidity
    • Genetic theory of AODU (alcohol and other drug use)
    • Genetic trait
    • Genetic variance
    • Major depression
    • Phenotype

    ASJC Scopus subject areas

    • Medicine (miscellaneous)


    Dive into the research topics of 'Defining alcohol-related phenotypes in humans: The collaborative study on the genetics of alcoholism'. Together they form a unique fingerprint.

    Cite this