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

dc.contributor.author

Arbeev, Konstantin G

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Ukraintseva, Svetlana V

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Kulminski, Alexander M

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Akushevich, Igor

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Arbeeva, Liubov S

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Culminskaya, Irina V

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Wu, Deqing

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Yashin, Anatoliy I

dc.coverage.spatial

Egypt

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2017-06-02T18:08:17Z

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2017-06-02T18:08:17Z

dc.date.issued

2012

dc.description.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.

dc.identifier

https://www.ncbi.nlm.nih.gov/pubmed/23682334

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https://hdl.handle.net/10161/14760

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eng

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Hindawi Limited

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Scientifica (Cairo)

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10.6064/2012/568628

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

dc.type

Journal article

duke.contributor.orcid

Arbeev, Konstantin G|0000-0002-4195-7832

pubs.author-url

https://www.ncbi.nlm.nih.gov/pubmed/23682334

pubs.organisational-group

Center for Population Health & Aging

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Duke

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Duke Population Research Institute

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Sanford School of Public Policy

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Staff

pubs.publication-status

Published

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2012

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