title: Deriving components of genetic variance for multilocus models.
abstract: Several authors have considered two-locus models as a basis for the inheritance of complex diseases. The purpose of this paper is to give a simple general formulation to derive the additive, dominant, and epistatic effects, and hence the corresponding variance components, for any multilocus model. These variance components should be useful for investigating the power of model-free linkage analysis to detect various modes of multilocus inheritance.
authors.affiliation: Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University, Cleveland, Ohio 44109, USA.
authors.forename: H K
authors.initials: HK
authors.lastname: Tiwari
authors.forename: R C
authors.initials: RC
authors.lastname: Elston
mesh_terms: D000483:Alleles; D002874:Chromosome Mapping; D004843:Epistasis, Genetic; D005260:Female; D005787:Gene Frequency; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D008040:Genetic Linkage; D014644:Genetic Variation; D006801:Humans; D008297:Male; D016555:Matched-Pair Analysis; D008957:Models, Genetic; D009679:Nuclear Family; D019683:Penetrance