IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v79y2011i4p184-191.html
   My bibliography  Save this article

Analytical results on the neutral non-equilibrium allele frequency spectrum based on diffusion theory

Author

Listed:
  • Živković, Daniel
  • Stephan, Wolfgang

Abstract

The allele frequency spectrum has attracted considerable interest for the simultaneous inference of the demographic and adaptive history of populations. In a recent study, Evans et al. (2007) developed a forward diffusion equation describing the allele frequency spectrum, when the population is subject to size changes, selection and mutation. From the diffusion equation, the authors derived a system of ordinary differential equations (ODEs) for the moments in a Wright–Fisher diffusion with varying population size and constant selection. Here, we present an explicit solution for this system of ODEs with variable population size, but without selection, and apply this result to derive the expected spectrum of a sample for time-varying population size. We use this forward-in-time-solution of the allele frequency spectrum to obtain the backward-in-time-solution previously derived via coalescent theory by Griffiths and Tavaré (1998). Finally, we discuss the applicability of the theoretical results to the analysis of nucleotide polymorphism data.

Suggested Citation

  • Živković, Daniel & Stephan, Wolfgang, 2011. "Analytical results on the neutral non-equilibrium allele frequency spectrum based on diffusion theory," Theoretical Population Biology, Elsevier, vol. 79(4), pages 184-191.
  • Handle: RePEc:eee:thpobi:v:79:y:2011:i:4:p:184-191
    DOI: 10.1016/j.tpb.2011.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580911000190
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2011.03.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Myers, Simon & Fefferman, Charles & Patterson, Nick, 2008. "Can one learn history from the allelic spectrum?," Theoretical Population Biology, Elsevier, vol. 73(3), pages 342-348.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Steinrücken, Matthias & Wang, Y.X. Rachel & Song, Yun S., 2013. "An explicit transition density expansion for a multi-allelic Wright–Fisher diffusion with general diploid selection," Theoretical Population Biology, Elsevier, vol. 83(C), pages 1-14.
    2. Jain, Kavita & Kaushik, Sachin, 2022. "Joint effect of changing selection and demography on the site frequency spectrum," Theoretical Population Biology, Elsevier, vol. 146(C), pages 46-60.
    3. Kaj, Ingemar & Mugal, Carina F., 2016. "The non-equilibrium allele frequency spectrum in a Poisson random field framework," Theoretical Population Biology, Elsevier, vol. 111(C), pages 51-64.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baharian, Soheil & Gravel, Simon, 2018. "On the decidability of population size histories from finite allele frequency spectra," Theoretical Population Biology, Elsevier, vol. 120(C), pages 42-51.
    2. Steinrücken, Matthias & Paul, Joshua S. & Song, Yun S., 2013. "A sequentially Markov conditional sampling distribution for structured populations with migration and recombination," Theoretical Population Biology, Elsevier, vol. 87(C), pages 51-61.
    3. Legried, Brandon & Terhorst, Jonathan, 2022. "Rates of convergence in the two-island and isolation-with-migration models," Theoretical Population Biology, Elsevier, vol. 147(C), pages 16-27.
    4. Johndrow, James E. & Palacios, Julia A., 2019. "Exact limits of inference in coalescent models," Theoretical Population Biology, Elsevier, vol. 125(C), pages 75-93.
    5. Rafajlović, M. & Klassmann, A. & Eriksson, A. & Wiehe, T. & Mehlig, B., 2014. "Demography-adjusted tests of neutrality based on genome-wide SNP data," Theoretical Population Biology, Elsevier, vol. 95(C), pages 1-12.
    6. Kim, Junhyong & Mossel, Elchanan & Rácz, Miklós Z. & Ross, Nathan, 2015. "Can one hear the shape of a population history?," Theoretical Population Biology, Elsevier, vol. 100(C), pages 26-38.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:79:y:2011:i:4:p:184-191. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.