A model of phenotypic assortative mating was developed for application
in segregation analysis. The model assumed a constant spouse correlat
ion across the range of a quantitative trait or the liability to a dis
crete trait. Four traits were analyzed to evaluate: 1) the feasibility
of applying likelihood analysis to pedigree data in order to distingu
ish between assortative mating and shared environmental effects as the
source of spouse correlation; and 2) the impact on segregation analys
is of the failure to account for either assortative mating or shared e
nvironmental effects, as appropriate. Height ratio (the ratio of sitti
ng to standing height) and eye color comprised the traits for which th
e observed spouse correlation reflected assortative mating; serum chol
esterol and peptic ulcers (with genotypes defined by the ABO blood gro
up) comprised the traits for which the observed spouse correlation ref
lected shared environmental effects. For all four traits the test stat
istics agreed with the known cause of spouse correlation; however, sig
nificance was not attained for height ratio or serum cholesterol. The
ability to distinguish between the causes of spouse correlation in ped
igree data presumably depends on trait and sample characteristics whic
h remain to be delineated. Despite significant spouse correlation, its
omission from the segregation analysis model did not undermine the in
ference of major locus inheritance for any of the four traits, However
, the lack of an impact for these traits does not preclude an impact f
or other traits of ignoring the appropriate spouse correlation in segr
egation analysis. (C) 1995 Wiley-Liss, Inc.