title: Comparison of likelihood approaches for combined segregation and linkage analysis of a complex disease and a candidate gene marker under different ascertainment schemes.
abstract: We compared two joint likelihood approaches, with complete (L1) or without (L2) linkage disequilibrium, under different ascertainment schemes, for the genetic analysis of the disease trait and marker gene 1 in replicate 42. Joint likelihoods were computed without a correction for the selection scheme. For the different sampling schemes we have explored, our results suggest that L1 is a more powerful approach than L2 to detect major gene and covariate effects as well as to identify accurately gene x covariate interaction effects in a common and complex disease such as the Genetic Analysis Workshop 12 MG6 simulated trait.
authors.affiliation: INSERM EMI 00-06 (M.M.), Paris, France.
authors.forename: M
authors.initials: M
authors.lastname: Martinez
authors.forename: A M
authors.initials: AM
authors.lastname: Goldstein
authors.forename: J R
authors.initials: JR
authors.lastname: O'Connell
mesh_terms: D000328:Adult; D002874:Chromosome Mapping / Q000706:statistics & numerical data*; D005260:Female; D005819:Genetic Markers / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005820:Genetic Testing; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D016013:Likelihood Functions; D015810:Linkage Disequilibrium / Q000235:genetics; D008297:Male; D008875:Middle Aged; D008957:Models, Genetic
chemical_list: D005819:Genetic Markers