Using simulated data from GAW 12, problem 2, we further develop a novel tec
hnique to detect and use significant covariates in linkage analysis. The me
thod, first introduced by Rice et al. [Genet Epidemiol 17(Suppl. 1):S691-5,
1999], uses logistic regression to model perturbation in sharing as a func
tion of covariate levels. The original method allows use of all sib pairs (
concordant affected, concordant unaffected, and discordant). Here we extend
this method to include cousin pairs in analysis. (C) 2001 Wiley-Liss, Inc.