Evolution of the simulated data problem

D. C. Thomas, I. B. Borecki, G. Thomson, K. Weiss, L. Almasy, J. Blangero, D. Nielsen, J. Terwilliger, D. Zaykin, J. MacCluer

    Research output: Contribution to journalArticlepeer-review

    4 Scopus citations


    The simulated data problem was designed via an interactive process by the Simulation Problem Organizing Committee and the selected data simulators. Based on discussions at the previous Genetic Analysis Workshop, many of the features of previous simulation problems, such as a complex disease, genome scan, and replication, were retained and in addition, a population genetics model was used to generate the simulated genes. We describe the process that was used to structure the problem and summarize the discussions about many of the scientific issues that were considered.

    Original languageEnglish (US)
    Pages (from-to)S325-S331
    JournalGenetic epidemiology
    Issue numberSUPPL. 1
    StatePublished - 2001


    • Complex diseases
    • Linkage disequilibrium
    • Pedigree data
    • Population genetics
    • Simulation

    ASJC Scopus subject areas

    • Epidemiology
    • Genetics(clinical)

    Fingerprint Dive into the research topics of 'Evolution of the simulated data problem'. Together they form a unique fingerprint.

    Cite this