Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging.
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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https://hdl.handle.net/10161/14760Published Version (Please cite this version)
10.6064/2012/568628Publication Info
Arbeev, Konstantin G; Ukraintseva, Svetlana V; Kulminski, Alexander M; Akushevich,
Igor; Arbeeva, Liubov S; Culminskaya, Irina V; ... Yashin, Anatoliy I (2012). Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on
Mortality: Application of Genetic Stochastic Process Model of Aging. Scientifica (Cairo), 2012. 10.6064/2012/568628. Retrieved from https://hdl.handle.net/10161/14760.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Konstantin Arbeev
Associate Research Professor in the Social Science Research Institute
Konstantin G. Arbeev received the M.S. degree in Applied Mathematics from Moscow State
University (branch in Ulyanovsk, Russia) in 1995 and the Ph.D. degree in Mathematics
and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical
Methods and Programming) from Ulyanovsk State University (Russia) in 1999. He was
a post-doctoral fellow in Max Planck Institute for Demographic Research in Rostock
(Germany) before moving to Duke University in 2004 to work as a Resea
Svetlana Ukraintseva
Research Professor in the Social Science Research Institute
Dr. Ukraintseva studies causes of human aging and related decline in resilience, to
identify genetic and other factors responsible for the increase in mortality risk
with age eventually limiting longevity. She explores complex relationships, including
trade-offs, between physiological aging-changes and risks of major diseases (with
emphasis on Alzheimer’s and cancer), as well as survival, to find new genetic and
other targets for anti-aging interventions and disease prevention. S
Anatoli I. Yashin
Research Professor in the Social Science Research Institute
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