The effect of pedigree complexity on quantitative trait linkage analysis

T. D. Dyer, J. Blangero, J. T. Williams, H. H.H. Göring, M. C. Mahaney

    Research output: Contribution to journalArticlepeer-review

    26 Scopus citations

    Abstract

    Due to the computational difficulties of performing linkage analysis on large complex pedigrees, most investigators resort to simplifying such pedigrees by some ad hoc strategy. In this paper, we suggest an analytical method to compare the power of various pedigree simplification schemes by using the asymptotic distribution of the likelihood-ratio statistic. We applied the method to the large Hutterite pedigree. Our results indicate that the breaking and reduction of inbreeding loops can greatly diminish the power to localize quantitative trait loci. We also present an efficient Monte Carlo method for estimating identity-by-descent allele sharing in large complex pedigrees. This method is used to facilitate a linkage analysis of serum IgE levels in the Hutterites without simplifying the pedigree.

    Original languageEnglish (US)
    Pages (from-to)S236-S243
    JournalGenetic epidemiology
    Volume21
    Issue numberSUPPL. 1
    DOIs
    StatePublished - 2001

    Keywords

    • Expected LOD score
    • Inbred pedigree
    • Power
    • Statistical genetics
    • Variance components

    ASJC Scopus subject areas

    • Epidemiology
    • Genetics(clinical)

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