Crossover interference is now known to exist in humans but to date has
been ignored in routine genetic mapping because of the computational
burden involved. In a recent paper by Weeks et al. [Hum Hered 1993;43:
86-97], interference was accounted for by the use of a variety of mult
ilocus feasible map functions and a crossover model of Goldgar and Fai
n [Am J Hum Genet 1988;43:38-45]. In this paper, we present an alterna
tive approach to incorporating crossover interference into multilocus
likelihood computation, by modelling the underlying chiasma process di
rectly using the chi(2) model, supplemented by an assumption of no chr
omatid interference. This procedure was applied to the same CEPH conso
rtium chromosome 10 data set that was analyzed by Weeks et al. A fit t
o the data was achieved which was significantly better than that offer
ed by the no-interference model, and comparable to the best of the alt
ernatives considered by Weeks et al, We briefly discuss the relative m
erits of the different models for interference.