• DocumentCode
    3171993
  • Title

    Equilibrium and stability analysis of X-chromosome linked recessive diseases model

  • Author

    Del Vecchio, Carmen ; Glielmo, Luigi ; Corless, Martin

  • Author_Institution
    Dipt. di Ing., Univ. degli Studi del Sannio, Benevento, Italy
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    4936
  • Lastpage
    4941
  • Abstract
    We present a mathematical model describing the population distribution of genetic diseases related to X chromosomes. The model captures the disease spread within a population according to the relevant inheritance mechanisms; moreover it allows to include de novo mutations (i.e., affected siblings born to unaffected parents). The resulting dynamic system is nonlinear, discrete time and positive. Among our contributions, we consider the analytical study of model´s equilibrium point, that is the distribution of the population among healthy, carrier and affected subjects, and the proof of the stability properties of the equilibrium point through Lyapunov second method. In particular global exponential stability was demonstrated in the presence of significant mutation rates and global asymptotic stability for negligible mutation rates.
  • Keywords
    Lyapunov methods; asymptotic stability; discrete time systems; diseases; epidemics; genetics; nonlinear dynamical systems; Lyapunov second method; X-chromosome linked recessive diseases model; de novo mutations; discrete time system; disease spread; genetic diseases; global asymptotic stability; global exponential stability; inheritance mechanisms; mathematical model; nonlinear dynamic system; population distribution; Biological cells; Diseases; Genetics; Mathematical model; Sociology; Stability analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426443
  • Filename
    6426443