Estimating the Total Number of Alleles Using a Sample Coverage Method

Corresponding author: B. S. Weir, Bioinformatics Research Ctr., Campus Box 7566, North Carolina State University, Raleigh, NC 27695-7566., weir{at}stat.ncsu.edu (E-mail)

Communicating editor: M. A. ASMUSSEN

Previously reported methods for estimating the number of different alleles at a single locus in a population have not described a useful general result. Using the number of alleles observed in a sample gives an underestimate for the true number of alleles. The similar problem of estimating the number of species in a population was first investigated in 1943. In this article we use the sample coverage method proposed by Chao and Lee in 1992 to estimate the number of alleles in a population when there are unequal allele frequencies. Simulation studies under the recurrent mutation model show that, for reasonable sample sizes, a significantly better estimate of the true number can be obtained than that using only the observed alleles. Results under the stepwise mutation model and infinite-allele model are presented. Possible applications include improving the characterization of the prior distribution for the allele frequencies, adjusting the estimates of genetic diversity, and estimating the range of microsatellite alleles.

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