title: Identifying genetic markers to assess the presence of gene-environment interactions.
abstract: We analyzed a randomly chosen replicate with the goals of locating the closest markers to the genes involved in the discrete trait and utilizing these as surrogates for the genes in assessing the presence of gene-environment interactions. We screened the markers with an association test prior to using the transmission-disequilibrium test. We performed a segregation analysis, with regressive models and including the selected markers, to understand the underlying genetic mechanism and the role of the environmental factor. We were unsuccessful in locating the relevant markers due to the absence of linkage disequilibrium. Nevertheless, some insights were gained from the methods used.
authors.affiliation: Department of Biostatistics, University of North Carolina at Chapel Hill 27599-7400, USA.
authors.forename: F
authors.initials: F
authors.lastname: Seillier-Moiseiwitsch
authors.forename: H
authors.initials: H
authors.lastname: Pinheiro
authors.forename: H
authors.initials: H
authors.lastname: Li
authors.forename: B
authors.initials: B
authors.lastname: Newman
mesh_terms: D002874:Chromosome Mapping; D004777:Environment; D005069:Evaluation Studies as Topic; D005260:Female; D005819:Genetic Markers; D005820:Genetic Testing / Q000379:methods*; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium; D008297:Male; D008540:Meiosis / Q000235:genetics; D012044:Regression Analysis
chemical_list: D005819:Genetic Markers