title: Evolution of the simulated data problem.
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.
authors.affiliation: Department of Preventive Medicine, University of Southern California, 1540 Alcazar Street, CHP-220, Los Angeles, CA 90089-9011, USA.
authors.forename: D C
authors.initials: DC
authors.lastname: Thomas
authors.forename: I B
authors.initials: IB
authors.lastname: Borecki
authors.forename: G
authors.initials: G
authors.lastname: Thomson
authors.forename: K
authors.initials: K
authors.lastname: Weiss
authors.forename: L
authors.initials: L
authors.lastname: Almasy
authors.forename: J
authors.initials: J
authors.lastname: Blangero
authors.forename: D
authors.initials: D
authors.lastname: Nielsen
authors.forename: J
authors.initials: J
authors.lastname: Terwilliger
authors.forename: D
authors.initials: D
authors.lastname: Zaykin
authors.forename: J
authors.initials: J
authors.lastname: MacCluer
mesh_terms: D002874:Chromosome Mapping; D003198:Computer Simulation; D005828:Genetics, Population; D005838:Genotype; D006801:Humans; D010641:Phenotype