IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i2p131-d477377.html
   My bibliography  Save this article

Limiting Genotype Frequencies of Y-Linked Genes with a Mutant Allele in a Two-Sex Population

Author

Listed:
  • Miguel González

    (Department of Mathematics and ICCAEx, Faculty of Sciences, University of Extremadura, Avda. Elvas s/n, 06006 Badajoz, Spain
    These authors contributed equally to this work.)

  • Cristina Gutiérrez

    (Department of Mathematics and ICCAEx, Faculty of Business, Finance and Tourism, University of Extremadura, Avda. de la Universidad s/n, 10071 Cáceres, Spain
    These authors contributed equally to this work.)

  • Rodrigo Martínez

    (Department of Mathematics and ICCAEx, University Center of Plasencia, University of Extremadura, Avda. Virgen del Puerto 2, 10600 Plasencia, Spain
    These authors contributed equally to this work.)

Abstract

A two-type two-sex branching process is considered to model the evolution of the number of carriers of an allele and its mutations of a Y -linked gene. The limiting growth rates of the different types of couples and males (depending on the allele, mutated or not, that they carry on) on the set of coexistence of both alleles and on the fixation set of the mutant allele are obtained. In addition, the limiting genotype of the Y -linked gene and the limiting sex frequencies on those sets are established. Finally, the main results have been illustrated with simulated studies contextualized in problems of population genetics.

Suggested Citation

  • Miguel González & Cristina Gutiérrez & Rodrigo Martínez, 2021. "Limiting Genotype Frequencies of Y-Linked Genes with a Mutant Allele in a Two-Sex Population," Mathematics, MDPI, vol. 9(2), pages 1-19, January.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:2:p:131-:d:477377
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/2/131/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/2/131/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hush, Don & Scovel, Clint, 2005. "Concentration of the hypergeometric distribution," Statistics & Probability Letters, Elsevier, vol. 75(2), pages 127-132, November.
    2. Seth Blumberg & James O Lloyd-Smith, 2013. "Inference of R0 and Transmission Heterogeneity from the Size Distribution of Stuttering Chains," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-17, May.
    3. Moran Gershoni & Shmuel Pietrokovski, 2014. "Reduced selection and accumulation of deleterious mutations in genes exclusively expressed in men," Nature Communications, Nature, vol. 5(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    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. John M Drake & Tobias S Brett & Shiyang Chen & Bogdan I Epureanu & Matthew J Ferrari & Éric Marty & Paige B Miller & Eamon B O’Dea & Suzanne M O’Regan & Andrew W Park & Pejman Rohani, 2019. "The statistics of epidemic transitions," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-14, May.
    2. Tobias S Brett & Pejman Rohani, 2020. "Dynamical footprints enable detection of disease emergence," PLOS Biology, Public Library of Science, vol. 18(5), pages 1-20, May.
    3. Mohamed Zeinab & Oraby Tamer, 2017. "Multi-Type Branching Processes Modeling of Nosocomial Epidemics," Stochastics and Quality Control, De Gruyter, vol. 32(2), pages 63-75, December.
    4. Yuying Li & Taojun Hu & Xin Gai & Yunjun Zhang & Xiaohua Zhou, 2021. "Transmission Dynamics, Heterogeneity and Controllability of SARS-CoV-2: A Rural–Urban Comparison," IJERPH, MDPI, vol. 18(10), pages 1-10, May.
    5. Lingcai Kong & Jinfeng Wang & Zhongjie Li & Shengjie Lai & Qiyong Liu & Haixia Wu & Weizhong Yang, 2018. "Modeling the Heterogeneity of Dengue Transmission in a City," IJERPH, MDPI, vol. 15(6), pages 1-21, May.
    6. Greene, Evan & Wellner, Jon A., 2016. "Finite sampling inequalities: An application to two-sample Kolmogorov–Smirnov statistics," Stochastic Processes and their Applications, Elsevier, vol. 126(12), pages 3701-3715.
    7. Tobias S Brett & Eamon B O’Dea & Éric Marty & Paige B Miller & Andrew W Park & John M Drake & Pejman Rohani, 2018. "Anticipating epidemic transitions with imperfect data," PLOS Computational Biology, Public Library of Science, vol. 14(6), pages 1-18, June.
    8. Yunjun Zhang & Yuying Li & Lu Wang & Mingyuan Li & Xiaohua Zhou, 2020. "Evaluating Transmission Heterogeneity and Super-Spreading Event of COVID-19 in a Metropolis of China," IJERPH, MDPI, vol. 17(10), pages 1-11, May.
    9. Anay Mehrotra & Bary S. R. Pradelski & Nisheeth K. Vishnoi, 2022. "Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints," Papers 2202.01661, arXiv.org, revised Jun 2022.

    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:gam:jmathe:v:9:y:2021:i:2:p:131-:d:477377. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.