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

Abstract

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
Volume21
Issue numberSUPPL. 1
DOIs
StatePublished - 2001
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

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