We approached the simulation as though it were an international study with
similar but not identical information being collected from different popula
tions. In keeping with this we analyzed one replicate from each population.
Initially we examined the risk of disease in relatives of cases to determi
ne whether the disease appeared to be "more genetic" in one population than
in the others and we examined the evidence for environmental risk factors
in each population. Nonparametric linkage analysis and transmission/disequi
librium testing (TDT) were used to search for loci linked to the disease in
each population. Using these methods we identified several candidate regio
ns for a susceptibility gene which on examination of the answers are explic
able in terms of the underlying model. ((C)) 1999 Wiley-Liss, Inc.