title: The utility of Bayesian model averaging for detecting known oligogenic effects.
abstract: In this paper we examine the utility of the Bayesian model averaging approach proposed by Blangero et al. [Genet Epidemiol 17(Suppl. 1):S67-72, 1999] for the detection of known oligogenic effects on quantitative trait 1 (Q1) in the simulated Genetic Analysis Workshop 12 data. The results were consistent with the underlying genetic model: two major QTLs were identified on chromosomes 19 and 2, with heritabilities of 17% and 20%, respectively, located near the position of major genes 1 and 2.
authors.affiliation: Department of Genetics, Southwest Foundation for Biomedical Research, 7620 NW Loop 410, P.O. Box 760549, San Antonio, TX 78245-0549, USA.
authors.forename: L J
authors.initials: LJ
authors.lastname: Martin
authors.forename: A G
authors.initials: AG
authors.lastname: Comuzzie
authors.forename: K E
authors.initials: KE
authors.lastname: North
authors.forename: J T
authors.initials: JT
authors.lastname: Williams
authors.forename: J
authors.initials: J
authors.lastname: Blangero
mesh_terms: D000704:Analysis of Variance; D001499:Bayes Theorem; D002874:Chromosome Mapping / Q000706:statistics & numerical data*; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D006801:Humans; D008126:Lod Score; D008957:Models, Genetic; D019655:Quantitative Trait, Heritable