title: Analysis of quantitative risk factors for a common oligogenic disease.
abstract: All three simulated loci influencing the quantitative variables Q1, Q2 and Q3 were successfully mapped by using a strategy of covariate adjustment and segregation analysis, coupled with association analyses and lod-score analyses.
authors.affiliation: Department of Biostatistics, University of Washington, Seattle 98195, USA.
authors.forename: K A
authors.initials: KA
authors.lastname: Goddard
authors.forename: G P
authors.initials: GP
authors.lastname: Jarvik
authors.forename: J
authors.initials: J
authors.lastname: Graham
authors.forename: B
authors.initials: B
authors.lastname: McNeney
authors.forename: L
authors.initials: L
authors.lastname: Hsu
authors.forename: K
authors.initials: K
authors.lastname: Siegmund
authors.forename: S
authors.initials: S
authors.lastname: Grosser
authors.forename: J
authors.initials: J
authors.lastname: Olson
authors.forename: E M
authors.initials: EM
authors.lastname: Wijsman
mesh_terms: D002874:Chromosome Mapping; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D005819:Genetic Markers; D005820:Genetic Testing / Q000379:methods*; D015894:Genome, Human; D006801:Humans; D016014:Linear Models; D015810:Linkage Disequilibrium; D008126:Lod Score; D010641:Phenotype; D012307:Risk Factors
chemical_list: D005819:Genetic Markers