A.I. Yashin, G. De Benedictis, J.W. Vaupel, Q. Tan, K.F. Andreev, I.A. Iachine, M. Bonafe, M. DeLuca, S. Valensin, L. Carotenuto and C. Franceschi
In population studies on aging, the data on genetic markers are often collected for individuals from different age groups. The purpose of such studies is to identify, by comparison of the frequencies of selected genotypes, “longevity” or “frailty” genes in the oldest and in younger groups of individuals. To address questions about more-complicated aspects of genetic influence on longevity, additional information must be used. In this article, we show that the use of demographic information, together with data on genetic markers, allows us to calculate hazard rates, relative risks, and survival functions for respective genes or genotypes. New methods of combining genetic and demographic information are discussed. These methods are tested on simulated data and then are applied to the analysis of data on genetic markers for two haplogroups of human mtDNA. The approaches suggested in this article provide a powerful tool for analyzing the influence of candidate genes on longevity and survival. We also show how factors such as changes in the initial frequencies of candidate genes in subsequent cohorts, or secular trends in cohort mortality, may influence the results of an analysis.
Abstract | Full Text | PDF (1490 kb)
Trends in Ecology & Evolution, Volume 14, Issue 11, 1 November 1999, Pages 438-442
Linda Partridge and Marc Mangel
Ageing is an increase in mortality and/or decline in fertility with advancing age. Evolutionary theories predict that ageing will evolve in response to the pattern of externally imposed hazards to survival and fertility; a prediction confirmed in new empirical studies. Recent studies of large cohorts of experimental animals and of humans have revealed that mortality rates do not continue to accelerate at very advanced ages. It has been suggested that evolutionary theories cannot account for these mortality patterns; however, this challenge is more apparent than real. Heterogeneity between individuals can shape mortality trajectories for populations, and recent evolutionary theory can both account for such heterogeneity and accommodate late-age mortality patterns.
Abstract | Full Text | PDF (173 kb)
Trends in Ecology & Evolution, Volume 21, Issue 8, 1 August 2006, Pages 458-463
Paul D. Williams, Troy Day, Quinn Fletcher and Locke Rowe
A central prediction of classical theories of senescence states that environments posing a high risk of mortality favor the evolution of rapid intrinsic deterioration, or ageing. Although widely cited as being largely corroborated by existing data, empirical support for this prediction has been mixed. Recent theory suggests that this expectation should only be realized under particular circumstances, and this could account for the equivocal empirical findings. Here, we highlight the salient features of some of the recent developments in this field and suggest some ways in which progress might be made. We argue that it is necessary to move beyond the simplistic classical expectation and to take a more comprehensive and precise approach to studies of senescence, both theoretically and empirically.