title: Genome-wide linkage and association mapping of disease genes with the GAW14 simulated datasets.
abstract: We combined the results of whole-genome linkage and association analyses to determine which markers were most strongly associated with Kofendrerd Personality Disorder. Using replicate 1 from the Genetic Analysis Workshop 14 Aipotu, Karangar, Danacaa, and New York City simulated populations, we determined that several markers showed significant linkage and association with disease status. We used both SNP and microsatellite markers to determine patterns and chromosomal regions of markers. Three consistently associated markers were C01R0050, C03R0280, and C10R0882. Using generalized linear mixed models, we modelled the effect of the three predefined phenotypic categories on disease status and concluded that the phenotypes defining the "anxiety-related" category best predicted the outcome.
authors.affiliation: Laboratory for Genetic Epidemiology, Western Australian Institute for Medical Research, UWA Centre for Medical Research, University of Western Australia, Hospital Avenue, Nedlands, Western Australia. kcarter@cyllene.uwa.edu.au
authors.forename: Kim W
authors.initials: KW
authors.lastname: Carter
authors.forename: Pamela A
authors.initials: PA
authors.lastname: McCaskie
authors.forename: Lyle J
authors.initials: LJ
authors.lastname: Palmer
mesh_terms: D002874:Chromosome Mapping; D002893:Chromosomes, Human, Pair 3 / Q000235:genetics; D003198:Computer Simulation; D003226:Congresses as Topic; D030541:Databases, Genetic; D004194:Disease / Q000235:genetics*; D005819:Genetic Markers; D055106:Genome-Wide Association Study; D006801:Humans; D018895:Microsatellite Repeats / Q000235:genetics; D020641:Polymorphism, Single Nucleotide / Q000235:genetics
chemical_list: D005819:Genetic Markers