Literature DB >> 7259099

Estimation of mutation rates from the number of rare alleles in a sample.

R Chakraborty.   

Abstract

To estimate the mutation rate from rare electrophoretic variants, a revised estimating equation is derived that takes into account the sampling distribution of the observed number of rare alleles in a sample drawn from the population. A check of the approximations used here suggests that the derived estimating equation is superior to the currently available one that is based on the expected number of rare alleles in the population. The new method is illustrated with a collation of electrophoretic data from literature. It is shown that the assumptions made in the theoretical treatment do not affect the estimate, per se, when the observed number of rare alleles is chosen as a statistic for estimating the mutation rates.

Mesh:

Year:  1981        PMID: 7259099     DOI: 10.1080/03014468100004991

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  2 in total

1.  SNPSTRs: empirically derived, rapidly typed, autosomal haplotypes for inference of population history and mutational processes.

Authors:  Joanna L Mountain; Alec Knight; Matthew Jobin; Christopher Gignoux; Adam Miller; Alice A Lin; Peter A Underhill
Journal:  Genome Res       Date:  2002-11       Impact factor: 9.043

2.  Relative mutation rates at di-, tri-, and tetranucleotide microsatellite loci.

Authors:  R Chakraborty; M Kimmel; D N Stivers; L J Davison; R Deka
Journal:  Proc Natl Acad Sci U S A       Date:  1997-02-04       Impact factor: 11.205

  2 in total

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