Related Experiment Video
Updated: Aug 4, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
A generalized estimating equations approach to linkage analysis in sibships in relation to multiple markers and
D C Thomas1, D Qian, W J Gauderman
1Department of Preventive Medicine, University of Southern California, Los Angeles 90033, USA.
Abstract:
We describe a multiple regression approach to nonparametric linkage analysis in sibships incorporating multiple genetic loci, environmental covariates, and interactions. The covariance in trait residuals between sib pairs is treated as the dependent variable, regressed upon identical-by-descent sharing probabilities and interaction effects, using generalized estimating equations to allow for the correlations among multiple sib pairs within a sibship. Individual covariates can also be introduced in the model for the trait means. An application to the GAW11 simulated data revealed linkage with each of the four simulated loci, as well as gene x environment interactions of E1 with loci C and D and gene x gene interactions among the cluster of loci A, B, and D.
Related Concept Videos
Dihybrid Crosses
Epistasis Analysis
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Gene-Environment Interactions
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
