Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data. Academic Article uri icon

Overview

abstract

  • We present a new approach for estimation of the population-scaled mutation rate, , from microsatellite genotype data, using the recently introduced "product of approximate conditionals" framework. Comparisons with other methods on simulated data demonstrate that this new approach is attractive in terms of both accuracy and speed of computation. Our simulation experiments also demonstrate that, despite the theoretical advantages of full-likelihood-based methods, methods based on certain summary statistics (specifically, the sample homozygosity) can perform very competitively in practice.

publication date

  • June 1, 2007

Research

keywords

  • Genetic Variation
  • Microsatellite Repeats
  • Models, Genetic
  • Mutation

Identity

PubMed Central ID

  • PMC1894599

Scopus Document Identifier

  • 34250779026

Digital Object Identifier (DOI)

  • 10.1534/genetics.105.049080

PubMed ID

  • 17579241

Additional Document Info

volume

  • 176

issue

  • 2