2011/10/13 by André Grüning, Grüning, André, Aasis Vinayak +1
Biochemistry, Genetics and Molecular Biology · Mathematics · #60J85 #92D25 #Biological Physics (physics.bio-ph) #Evolution and Genetic Dynamics #FOS: Biological sciences #FOS: Physical sciences #Genetics, Aging, and Longevity in Model Organisms #Quantitative Methods (q-bio.QM) #Stochastic processes and statistical mechanics
paper · pdf · doi:10.48550/arxiv.1110.2993
openalex publication_date 2011/10/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Lifespan distributions of populations of quite diverse species such as humans and yeast seem to surprisingly well follow the same empirical Gompertz-Makeham law, which basically predicts an exponential increase of mortality rate with age. This empirical law can for example be grounded in reliability theory when individuals age through the random failure of a number of redundant essential functional units. However, ageing and subsequent death can also be caused by the accumulation of "ageing factors", for example noxious metabolic end products or genetic anomalities, such as self-replicating extra-chromosomal DNA in yeast. We first show how Gompertz-Makeham behaviour arises when ageing factor accumulation follows a deterministic self-reinforcing process. We go then on to demonstrate that such a deterministic process is a good approximation of the underlying stochastic accumulation of ageing factors where the stochastic model can also account for old-age levelling off of mortality rate.