A multiple analytic approach may be useful for analyzing complex traits sin
ce different methods extract both similar and distinct, but complementary p
ieces of information from genome screen data on extended pedigrees. We exam
ined the usefulness of combining p-values both across methods and across ad
jacent markers, taking into account the observed correlation structure amon
g these p-values. To this end, we employed the recently proposed truncated
product method [Zaykin et al., Genet Epidemiol, in press]. It appears that
this approach is helpful for visualizing priority regions for follow-up ana
lysis and reducing the number of false-positive linkage signals. (C) 2001 W
iley-Liss, Inc.