Genetic linkage analysis of simulated complex disease data.
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.
Alarcón
M
M
Department of Pediatrics, Steven Spielberg Pediatric Research Center, Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Wang
Y
Y
Rotter
J I
JI
Yang
H
H
D016022:Case-Control Studies; D003198:Computer Simulation; D004777:Environment; D008040:Genetic Linkage; D005820:Genetic Testing; D016678:Genome; D006801:Humans; D012307:Risk Factors; D012984:Software