12 Variance component methods for detecting complex trait loci

John Blangero, Jeff T. Williams, Laura Almasy

    Research output: Chapter in Book/Report/Conference proceedingChapter

    197 Scopus citations


    Variance component-based linkage analysis has become a major statistical tool for the localization and evaluation of quantitative trait loci influencing complex phenotypes. The variance component approach has many benefits-it can, for example, be used to analyze large pedigrees, and it is able to accommodate multiple loci simultaneously in a true oligogenic model. Important biological phenomena such as genotype-environment interaction and epistasis are also examined easily in a variance component framework. In this chapter, we review the basic statistical features of variance component linkage analysis, with an emphasis on its power and robustness to distributional violations.

    Original languageEnglish (US)
    Title of host publicationAdvances in Genetics
    Number of pages31
    StatePublished - Dec 1 2001

    Publication series

    NameAdvances in Genetics
    ISSN (Print)0065-2660


    ASJC Scopus subject areas

    • Genetics

    Cite this

    Blangero, J., Williams, J. T., & Almasy, L. (2001). 12 Variance component methods for detecting complex trait loci. In Advances in Genetics (pp. 151-181). (Advances in Genetics; Vol. 42).