title: Nonparametric linkage and family-based association studies of a simulated complex disorder.
abstract: Affected sibling pairs are widely used to identify chromosomal regions harboring genetic loci underlying common disease. We explore the utility of nonparametric sibling pair and family-based association methods to search for disease susceptibility loci in simulated pedigree data for a qualitative disease trait. Logistic regression was used to model gene x gene and gene x environment interactions when significant linkage and association were detected. Using these methods, we were able to detect three of the four susceptibility loci underlying the disease trait with multipoint lod scores of 1.0 or greater.
authors.affiliation: Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA.
authors.forename: D L
authors.initials: DL
authors.lastname: Koller
authors.forename: J
authors.initials: J
authors.lastname: Balding
authors.forename: T
authors.initials: T
authors.lastname: Foroud
mesh_terms: D000483:Alleles; D004777:Environment; D004843:Epistasis, Genetic; D005190:Family; D008040:Genetic Linkage; D005819:Genetic Markers; D005820:Genetic Testing; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium; D008126:Lod Score; D016015:Logistic Models; D008957:Models, Genetic; D018709:Statistics, Nonparametric
chemical_list: D005819:Genetic Markers