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A Stochastic Model of the Genetic Predisposition to Ageing: An Application to Twin Data

Published online by Cambridge University Press:  01 August 2014

L. Gedda ,
G. Brenci  and
C. Rossi
L. Gedda
Affiliation:
The Gregor Mendel Institute of Medical Research and Twin Studies, Rome, Italy
G. Brenci
Affiliation:
The Gregor Mendel Institute of Medical Research and Twin Studies, Rome, Italy
C. Rossi*
Affiliation:
Department of Mathematics, Second University of Rome, Italy
*
Department of Mathematics, Second University of Rome, Via Fontanile di Carcaricola, 00133 Rome, Italy

Abstract

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In previous papers a stochastic model of the ageing process has been proposed. Some genetic parameters (redundance, repair) have been used to explain the observed differential predisposition to the process and family heredity. Because the process is basically due to effective random mutations, any individual of the population would be predisposed differently to ageing according to the structure of his/her genome. In the present paper, the previous model is generalized to take into account an additional genetic parameter, namely, the stability against random mutations, defined as the probability that a random mutation in a codon would produce no mutation in the corresponding protein. Estimation problems connected with the model are approached on the basis of twin data in maximum likelihood estimation as well as in bayesian framework. Some comparisons between the two methods are reported.

Keywords

AgeingTwin dataMaximum likelihood estimationBayes' theorem
Type
Research Article
Information
Acta geneticae medicae et gemellologiae: twin research , Volume 39 , Issue 4 , October 1990 , pp. 419 - 425
Copyright
Copyright © The International Society for Twin Studies 1990

References

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