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Arbeev KG, Ukraintseva SV, Kulminski AM, et al. Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging. Scientifica (Cairo). 2012;2012doi: 10.6064/2012/568628.
Arbeev, K. G., Ukraintseva, S. V., Kulminski, A. M., Akushevich, I., Arbeeva, L. S., Culminskaya, I. V., Wu, D., & Yashin, A. I. (2012). Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging. Scientifica, 2012. https://doi.org/10.6064/2012/568628
Arbeev, Konstantin G, et al. "Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging." Scientifica vol. 2012 (2012). doi: https://doi.org/10.6064/2012/568628
Arbeev KG, Ukraintseva SV, Kulminski AM, Akushevich I, Arbeeva LS, Culminskaya IV, Wu D, Yashin AI. Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging. Scientifica (Cairo). 2012;2012. doi: 10.6064/2012/568628. PMID: 23682334; PMCID: PMC3653307.
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Scientifica (Cairo). 2012;2012. doi: 10.6064/2012/568628.

Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging.

Scientifica

Konstantin G Arbeev, Svetlana V Ukraintseva, Alexander M Kulminski, Igor Akushevich, Liubov S Arbeeva, Irina V Culminskaya, Deqing Wu, Anatoliy I Yashin

Affiliations

  1. Center for Population Health and Aging, Duke University, P.O. Box 90408, Durham, NC 27708-0408, USA.

PMID: 23682334 PMCID: PMC3653307 DOI: 10.6064/2012/568628

Abstract

We evaluated effects of the APOE polymorphism (carriers versus noncarriers of the e4 allele) and age trajectories of total cholesterol (CH) and diastolic blood pressure (DBP) on mortality risk in the Framingham Heart Study (original cohort). We found that long-lived carriers and noncarriers have different average age trajectories and long-lived individuals have consistently higher levels and less steep declines at old ages compared to short-lived individuals. We applied the stochastic process model of aging aimed at joint analyses of genetic and nongenetic subsamples of longitudinal data and estimated different aging-related characteristics for carriers and noncarriers which otherwise cannot be evaluated from data. We found that such characteristics differ in carriers and noncarriers: (1) carriers have better adaptive capacity than noncarriers in case of CH, whereas for DBP the opposite situation is observed; (2) mean allostatic trajectories are higher in carriers and they differ from "optimal" trajectories minimizing mortality risk; (3) noncarriers have lower baseline mortality rates at younger ages but they increase faster than those for carriers resulting in intersection at the oldest ages. Such observations strongly indicate the presence of a genetic component in respective aging-related mechanisms. Such differences may contribute to patterns of allele- and sex-specific mortality rates.

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