Assessing linkage of monoamine oxidase B in a genome-wide scan using a univariate variance components approach

J. S. Barnholtz, M. De Andrade, G. P. Page, T. M. King, L. E. Peterson, C. I. Amos

    Research output: Contribution to journalArticlepeer-review

    9 Scopus citations

    Abstract

    We report results when one alcoholism related quantitative trait, monoamine oxidase B (MAOB), is analyzed by the variance components approach for linkage [Amos, 1994; Amos et al., 1996] using the Collaborative Study on the Genetics of Alcoholism data set provided for the Genetic Analysis Workshop 11. We used two different covariate models, one with age at interview, sex, ethnicity, and smoking status and the other with age at interview, sex, and ethnicity. The univariate analysis showed 24 markers on four different chromosomes (1, 4, 9, and 12) to have evidence for linkage with the quantitative trait (single-point and multipoint linkage). However, when outliers for MAOB were removed, the significant evidence for linkage disappeared.

    Original languageEnglish (US)
    Pages (from-to)S49-S54
    JournalGenetic Epidemiology
    Volume17
    Issue numberSUPPL. 1
    DOIs
    StatePublished - 1999

    Keywords

    • Collaborative Study on the Genetics of Alcoholism
    • Outliers
    • Quantitative trait

    ASJC Scopus subject areas

    • Genetics(clinical)
    • Epidemiology

    Fingerprint

    Dive into the research topics of 'Assessing linkage of monoamine oxidase B in a genome-wide scan using a univariate variance components approach'. Together they form a unique fingerprint.

    Cite this