Standard programs for animal models can be modified to include the eff
ect of a candidate gene, even if only a fraction of the population is
genotyped. The elements of the incidence matrix for this effect is 0 o
r 1 for genotyped individuals and for the probabilities of the candida
te gene genotypes for individuals that were not genotyped. The effects
of a diallelic candidate gene that were estimated by this method were
compared on simulated populations with three alternative estimation m
ethods: analysis of genetic evaluations, yield deviations, and daughte
r yield deviations, all of which were derived from a standard animal m
odel. The bases of comparison were mean squared error and bias. Four t
ypes of experimental designs were considered: genotyping sires only, g
enotyping cows only, genotyping half of the cows but no sires, and gen
otyping half of the sires and half of the cows. The estimates that wer
e derived from the three alternative methods all underestimated the si
mulated effects. The genetic evaluations were more biased than were th
e yield deviations and the daughter yield deviations. The proposed met
hod was significantly biased only for the design in which half of the
daughters, but no sires, were genotyped. Bias and mean squared errors
were always lowest by the proposed method.