I provide a novel approach to computing the mean and variance of the p
roportion of genetic material shared identical by descent (IBD) by sib
ling pairs in a specified chromosomal region, conditional on observed
marker data. I first show that each chromosome in an offspring can be
represented by a two-state Markov chain, with the time parameter being
the map distance along the chromosome. On this basis, I show that IBD
proportion can be written as a stochastic integral and that the compu
tation of its mean and variance can be reduced to evaluation of an int
egral of some elementary functions. In addition, I show how Goldgar's
model can be extended to include dominance effects. Several examples a
re provided to illustrate the calculation.