Comparison of likelihood approaches for combined segregation and linkage analysis of a complex disease and a candidate gene marker under different ascertainment schemes.
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.
Martinez
M
M
INSERM EMI 00-06 (M.M.), Paris, France.
Goldstein
A M
AM
O'Connell
J R
JR
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
D005819:Genetic Markers