title: Genetic linkage analysis of simulated complex disease data.
abstract: The purpose of this analysis was to apply current analytic methods to a simulated data set with a recognized genetic model in order to identify the loci that affect a complex disease, detect evidence for the interaction among two of the loci, and detect the gene-environment interaction. The following analytic tools were used: two multipoint linkage analysis programs, a stratification strategy based on the results of the multipoint analysis, and a case-control analysis using discordant sib pair data. The results were consistent with the underlying genetic model: a disease due to a major gene on chromosome 3 associated with an environmental risk factor, and two minor interacting loci on chromosomes 1 and 5.
authors.affiliation: Department of Pediatrics, Steven Spielberg Pediatric Research Center, Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
authors.forename: M
authors.initials: M
authors.lastname: Alarcón
authors.forename: Y
authors.initials: Y
authors.lastname: Wang
authors.forename: J I
authors.initials: JI
authors.lastname: Rotter
authors.forename: H
authors.initials: H
authors.lastname: Yang
mesh_terms: D016022:Case-Control Studies; D003198:Computer Simulation; D004777:Environment; D008040:Genetic Linkage; D005820:Genetic Testing; D016678:Genome; D006801:Humans; D012307:Risk Factors; D012984:Software