Introduction to genetic analysis workshop 15 summaries

John S. Witte, Audrey H. Schnell, Heather J. Cordell, Richard S. Spielman, Christopher I. Amos, Michael B. Miller, Laura Almasy, Jean W. MacCluer

    Research output: Contribution to journalArticle

    2 Scopus citations

    Abstract

    The 15th biennial Genetic Analysis Workshop (GAW15) took place November 11-15, 2006 in St. Pete Beach, Florida. The workshop's primary focus was on the appropriate linkage, association, and other analyses of the increasingly large datasets generated by genetics research. A record number of participants (N = 350) contributed 252 papers to GAW15. These contributions were organized into 17 presentation groups, with a range of 11 to 18 papers in each group (median of 15 papers per group). The data sets - or "problems" - for GAW15 included information from two real data sets and a simulated data set. The first problem utilizing real data included gene expression as the phenotype and genome-wide markers for linkage and association studies. The second problem allowed for detecting and characterizing genetic effects for rheumatoid arthritis. And the simulated problem was generated to reflect the data structure underlying the rheumatoid arthritis study. Further details on GAW15 are provided here, and the primary findings from the workshop are highlighted in the following group summary papers.

    Original languageEnglish (US)
    Pages (from-to)S1-S6
    JournalGenetic epidemiology
    Volume31
    Issue numberSUPPL. 1
    DOIs
    StatePublished - 2007

    Keywords

    • Association
    • Data mining
    • Gene expression
    • Genome-wide study
    • Haplotype
    • Interaction
    • Linkage
    • SNP
    • Single-nucleotide polymorphism

    ASJC Scopus subject areas

    • Epidemiology
    • Genetics(clinical)

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