Skip to main content
×
Home
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 2
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    MULLER, M.-H. PONCET, C. PROSPERI, J. M. SANTONI, S. and RONFORT, J. 2006. Domestication history in the Medicago sativa species complex: inferences from nuclear sequence polymorphism. Molecular Ecology, Vol. 15, Issue. 6, p. 1589.


    Innan, H. and Kim, Y. 2004. Pattern of polymorphism after strong artificial selection in a domestication event. Proceedings of the National Academy of Sciences, Vol. 101, Issue. 29, p. 10667.


    ×

A statistical test for the difference in the amounts of DNA variation between two populations

  • HIDEKI INNAN (a1) (a2) and FUMIO TAJIMA (a1)
  • DOI: http://dx.doi.org/10.1017/S0016672302005748
  • Published online: 01 September 2002
Abstract

A statistical test for the difference in the amounts of DNA variation between two populations is developed. The test statistic involves the covariance of the amount of variation between two populations, which is given by a function of their divergence time, T0. Accordingly, the power (rejection probability) of the test depends on T0. In this article, T0 is treated as unknown because it is very difficult to estimate. The test is most conservative when T0 = ∞ is assumed because the covariance is zero. If T0 = 0 is assumed, the largest value of the rejection probability is obtained. Thus, the test provides a range of rejection probability unless we have a reliable estimate of T0. The test is applied to the PgiC region in three mustard species: Leavenworthia stylosa, L. crassa and L. uniflora. The results of our test show that the level of variation in L. stylosa is significantly higher than those in the other species.

Copyright
Corresponding author
Corresponding author. Tel: +81 3 5841 4051. Fax: +81 3 3818 5399. e-mail: ftajima@biol.s.u-tokyo.ac.jp
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Genetics Research
  • ISSN: 0016-6723
  • EISSN: 1469-5073
  • URL: /core/journals/genetics-research
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×