THE OLDEST OLD AND THE POPULATION HETEROGENEITY

A. Łaszkiewicz, Sz. Szymczak and S. Cebrat ()
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A. Łaszkiewicz: Department of Genomics, Institute of Genetics and Microbiology, University of Wrocław, ul. Przybyszewskiego 63/77, PL-54148 Wrocław, Poland
Sz. Szymczak: Department of Genomics, Institute of Genetics and Microbiology, University of Wrocław, ul. Przybyszewskiego 63/77, PL-54148 Wrocław, Poland
S. Cebrat: Department of Genomics, Institute of Genetics and Microbiology, University of Wrocław, ul. Przybyszewskiego 63/77, PL-54148 Wrocław, Poland

International Journal of Modern Physics C (IJMPC), 2003, vol. 14, issue 10, 1355-1362

Abstract: We have simulated the effect of the diversity of the late expressed genes in the genetic pool of population on the phenotypes of individuals in the late ages. Using Penna model based on the Monte Carlo method we have obtained for the oldest fractions of populations lower mortality rates than predicted by the exponential Gompertz function. Such deviations from the expected exponential increase of mortality are the characteristic for populations which are not in equilibrium with the environment, or if a relatively high probability of reversions was assumed, or if the population is heterogeneous. In such populations, the genes expressed in the late ages, are under the very weak selection pressure and thus, highly-polymorphic. As an effect, the probability of the genetically-determined death of the oldest organisms does not grow as fast as predicted by the Gompertz exponential curve describing mortality during earlier periods of life.

Keywords: Biological aging; Monte Carlo simulation; Gompertz law; human mortality (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1142/S0129183103005479

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