
Estimators of molecular polymorphism using phylogentic information
Samara F. Kiihl^{a}, Hildete P. Pinheiro^{a},
Aluísio Pinheiro^{a}, Sérgio F. dos Reis^{b}
^{a} Departamento de
Estatística, UNICAMP  SP, Brazil
^{b} Departamento de
Parasitologia, UNICAMP  SP, Brazil
Genetic variation at the nucleotide level is a powerful source of
information for studying the evolution of a population. Important aspects of
the evolution of a population have been investigated by using nucleotide
sequences. The quantity q = 4Nn,
with N being the effective size of the population and n
the mutation rate per sequence (gene, locus) per generation, is an essential
parameter because it determines the degree of polymorphism at the locus. The
degree of success in our inference about the evolution of a population is
measured to some extent by the accuracy of estimation of this essential
parameter. The evolution of a species can be seen through a phylogenetic
tree and a linear model can be constructed by using the phylogenetic
information to estimate q. It has been verified
that the use of such information leads us to more accurate estimators of
q. This work presents some methods of estimation
of this parameter, comparisons between these methods through computational
simulations and applications to real data.
