Haplotype sharing analysis in affected individuals from nuclear families with at least one affected offspring

Martin Meulen ,van der, G J te Meerman

    Research output: Contribution to journalArticleAcademicpeer-review

    46 Citations (Scopus)

    Abstract

    In diseases with a complex mode of inheritance, families with multiple affected individuals are difficult to ascertain. The haplotype sharing statistic (HSS) uses (hidden) co-ancestry between affected individuals from a founder population. These affected individuals will likely not only share the same mutation(s), but also the surrounding haplotype. We show that this method gives a low false positive rate, but does not detect genes in the nuclear families of Problem 2A of the GAW data. We also give evidence based on simulations and empirical studies in real population based data that the HSS method has statistical power. (C) 1997 Wiley-Liss, Inc.

    Original languageEnglish
    Pages (from-to)915-919
    Number of pages5
    JournalGenetic epidemiology
    Volume14
    Issue number6
    DOIs
    Publication statusPublished - 1997
    EventGenetic Analysis Workshop 10 (GAW10) -
    Duration: 26-Oct-199629-Oct-1996

    Keywords

    • Chromosome Mapping
    • Female
    • Genetic Diseases, Inborn
    • Genome, Human
    • Haplotypes
    • Humans
    • Logistic Models
    • Male
    • Mutation
    • Nuclear Family
    • Predictive Value of Tests

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