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

    Abstract

    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
    PublisherAcademic Press Inc.
    Pages151-181
    Number of pages31
    ISBN (Print)0120176424, 9780120176427
    DOIs
    StatePublished - Jan 1 2001

    Publication series

    NameAdvances in Genetics
    Volume42
    ISSN (Print)0065-2660

    ASJC Scopus subject areas

    • Genetics

    Fingerprint Dive into the research topics of '12 Variance component methods for detecting complex trait loci'. Together they form a unique fingerprint.

    Cite this