Statistical properties of a DNA sample from a random-mating population
of constant size are studied under the finite-sites model. It is assu
med that there is no migration and no recombination occurs within the
locus. A Markov process model is used for nucleotide substitution, all
owing for multiple substitutions at a single site. The evolutionary ra
tes among sites are treated as either constant or variable. The genera
l likelihood calculation using numerical integration involves intensiv
e computation and is feasible for three or four sequences only; it may
be used for validating approximate algorithms. Methods are developed
to approximate the probability distribution of the number of segregati
ng sites in a random sample of n sequences, with either constant or va
riable substitution rates across sites. Calculations using parameter e
stimates obtained for human D-loop mitochondrial DNAs show that among-
site rate variation has a major effect on the distribution of the numb
er of segregating sites; the distribution under the finite-sites model
with variable rates among sites is quite different from that under th
e infinite-sites model.