title: A genome-wide scan for a simulated data set using two newly developed methods.
abstract: A genome-wide scan of a simulated data set for fictitious disease genes was conducted using both semiparametric and nonparametric methods. The semiparametric model-based method, which tests for linkage/linkage disequilibrium separately and together, correctly identified all three underlying disease loci along with two false positives through the linkage analysis. However, the nonparametric model-free method which tests combined linkage/linkage disequilibrium, failed to yield any results due to the lack of linkage disequilibrium information in the data.
authors.affiliation: Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
authors.forename: L
authors.initials: L
authors.lastname: Hsu
authors.forename: C
authors.initials: C
authors.lastname: Aragaki
authors.forename: F
authors.initials: F
authors.lastname: Quiaoit
authors.forename: X
authors.initials: X
authors.lastname: Wang
authors.forename: X
authors.initials: X
authors.lastname: Xu
authors.forename: L P
authors.initials: LP
authors.lastname: Zhao
mesh_terms: D002874:Chromosome Mapping; D008040:Genetic Linkage; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing; D016678:Genome; D006801:Humans; D016013:Likelihood Functions; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D015233:Models, Statistical; D018709:Statistics, Nonparametric