Heritability estimates of endophenotypes of long and health life: the Long Life Family Study.
Abstract
BACKGROUND: Identification of gene variants that contribute to exceptional survival
may provide critical biologic information that informs optimal health across the life
span. METHODS: As part of phenotype development efforts for the Long Life Family Study,
endophenotypes that represent exceptional survival were identified and heritability
estimates were calculated. Principal components (PCs) analysis was carried out using
28 physiologic measurements from five trait domains (cardiovascular, cognition, physical
function, pulmonary, and metabolic). RESULTS: The five most dominant PCs accounted
for 50% of underlying trait variance. The first PC (PC1), which consisted primarily
of poor pulmonary and physical function, represented 14.3% of the total variance and
had an estimated heritability of 39%. PC2 consisted of measures of good metabolic
and cardiovascular function with an estimated heritability of 27%. PC3 was made up
of cognitive measures (h(2) = 36%). PC4 and PC5 contained measures of blood pressure
and cholesterol, respectively (h(2) = 25% and 16%). CONCLUSIONS: These PCs analysis-derived
endophenotypes may be used in genetic association studies to help identify underlying
genetic mechanisms that drive exceptional survival in this and other populations.
Type
Journal articleSubject
Cardiovascular Physiological PhenomenaCholesterol, HDL
Cognition
Cohort Studies
Endophenotypes
Forced Expiratory Volume
Genetic Variation
Hand Strength
Health Status
Humans
Longevity
Lung
Metabolism
Motor Activity
National Institute on Aging (U.S.)
Principal Component Analysis
Quantitative Trait, Heritable
United States
Waist Circumference
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https://hdl.handle.net/10161/14882Published Version (Please cite this version)
10.1093/gerona/glq154Publication Info
Matteini, Amy M; Fallin, M Daniele; Kammerer, Candace M; Schupf, Nicole; Yashin, Anatoli
I; Christensen, Kaare; ... Walston, Jeremy D (2010). Heritability estimates of endophenotypes of long and health life: the Long Life Family
Study. J Gerontol A Biol Sci Med Sci, 65(12). pp. 1375-1379. 10.1093/gerona/glq154. Retrieved from https://hdl.handle.net/10161/14882.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
Anatoli I. Yashin
Research Professor in the Social Science Research Institute
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