Genetic linkage analysis of simulated complex disease data
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Updated: Aug 9, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
M Alarcón1, Y Wang, J I Rotter
1Department of Pediatrics, Steven Spielberg Pediatric Research Center, Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
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.
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