Genetic analysis of personality traits and alcoholism using a mixed discrete continuous trait variance component model

Stefan A. Czerwinski, Michael C. Mahaney, Jeff T. Williams, Laura Almasy, John Blangero

    Research output: Contribution to journalArticle

    16 Scopus citations

    Abstract

    Bivariate analyses can improve power to detect linkage. This paper describes one application of a bivariate variance component method for estimating joint likelihoods of a continuous and a discrete trait. This method is applied to the Collaborative Study on the Genetics of Alcoholism data set to investigate the relationship between personality traits derived from the tridimensional personality questionnaire (TPQ) and alcoholism. The results indicate that the novelty-seeking subscale of the TPQ and alcoholism share a strong and significant genetic correlation (ρ(G) = 0.83) and modest environmental correlation (ρ(E) = 0.31). When both traits are considered jointly in a multipoint linkage model compared with the alcoholism trait alone, there is an improvement in the ability to detect and localize a quantitative trait locus on chromosome 4.

    Original languageEnglish (US)
    Pages (from-to)S121-S126
    JournalGenetic epidemiology
    Volume17
    Issue numberSUPPL. 1
    DOIs
    StatePublished - 1999

    Keywords

    • Linkage
    • Novelty-seeking
    • Pleiotropy

    ASJC Scopus subject areas

    • Epidemiology
    • Genetics(clinical)

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