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• W2155973669 abstract "Abstract Microsatellites are short tandem repeats that are widely dispersed among eukaryotic genomes. Many of them are highly polymorphic; they have been used widely in genetic studies. Statistical properties of all measures of genetic variation at microsatellites critically depend upon the composite parameter θ = 4Nμ, where N is the effective population size and μ is mutation rate per locus per generation. Since mutation leads to expansion or contraction of a repeat number in a stepwise fashion, the stepwise mutation model has been widely used to study the dynamics of these loci. We developed an estimator of θ, θ^F, on the basis of sample homozygosity under the single-step stepwise mutation model. The estimator is unbiased and is much more efficient than the variance-based estimator under the single-step stepwise mutation model. It also has smaller bias and mean square error (MSE) than the variance-based estimator when the mutation follows the multistep generalized stepwise mutation model. Compared with the maximum-likelihood estimator θ^L by Nielsen (1997), θ^F has less bias and smaller MSE in general. θ^L has a slight advantage when θ is small, but in such a situation the bias in θ^L may be more of a concern." @default.
• W2155973669 created "2016-06-24" @default.
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• W2155973669 date "2004-01-01" @default.
• W2155973669 modified "2023-09-27" @default.
• W2155973669 title "Estimating Effective Population Size or Mutation Rate With Microsatellites" @default.
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• W2155973669 doi "https://doi.org/10.1534/genetics.166.1.555" @default.
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