Biogenetic mechanisms predisposing to complex phenotypes in parents may function differently in their children.
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 articleSubject
AgingDisease
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
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https://hdl.handle.net/10161/14870Published Version (Please cite this version)
10.1093/gerona/gls243Publication 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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Show full item recordScholars@Duke
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
Alexander Kulminski
Research Professor in the Social Science Research Institute
Anatoli I. Yashin
Research Professor in the Social Science Research Institute
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