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Biogenetic mechanisms predisposing to complex phenotypes in parents may function differently in their children.

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Date
2013-07
Authors
Kulminski, Alexander M
Arbeev, Konstantin G
Christensen, Kaare
Stallard, Eric
Miljkovic, Iva
Barmada, Michael
Yashin, Anatoliy I
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Abstract
This study focuses on the participants of the Long Life Family Study to elucidate whether biogenetic mechanisms underlying relationships among heritable complex phenotypes in parents function in the same way for the same phenotypes in their children. Our results reveal 3 characteristic groups of relationships among phenotypes in parents and children. One group composed of 3 pairs of phenotypes confirms that associations among some phenotypes can be explained by the same biogenetic mechanisms working in parents and children. Two other groups including 9 phenotype pairs show that this is not a common rule. Our findings suggest that biogenetic mechanisms underlying relationships among different phenotypes, even if they are causally related, can function differently in successive generations or in different age groups of biologically related individuals. The results suggest that the role of aging-related processes in changing environment may be conceptually underestimated in current genetic association studies using genome wide resources.
Type
Journal article
Subject
Aging
Disease
Genetics of healthspan
Heritability
Longevity regulation
Adult Children
Aged
Aged, 80 and over
Aging
Environment
Epigenesis, Genetic
Female
Genetic Predisposition to Disease
Genotype
Humans
Longevity
Male
Middle Aged
Parents
Phenotype
Permalink
https://hdl.handle.net/10161/14870
Published Version (Please cite this version)
10.1093/gerona/gls243
Publication Info
Kulminski, Alexander M; Arbeev, Konstantin G; Christensen, Kaare; Stallard, Eric; Miljkovic, Iva; Barmada, Michael; & Yashin, Anatoliy I (2013). Biogenetic mechanisms predisposing to complex phenotypes in parents may function differently in their children. J Gerontol A Biol Sci Med Sci, 68(7). pp. 760-768. 10.1093/gerona/gls243. Retrieved from https://hdl.handle.net/10161/14870.
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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Scholars@Duke

Arbeev

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
Kulminski

Alexander Kulminski

Research Professor in the Social Science Research Institute
Yashin

Anatoli I. Yashin

Research Professor in the Social Science Research Institute
Alphabetical list of authors with Scholars@Duke profiles.
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