Joint influence of small-effect genetic variants on human longevity.
Abstract
The results of genome-wide association studies of complex traits, such as life span
or age at onset of chronic disease, suggest that such traits are typically affected
by a large number of small-effect alleles. Individually such alleles have little predictive
values, therefore they were usually excluded from further analyses. The results of
our study strongly suggest that the alleles with small individual effects on longevity
may jointly influence life span so that the resulting influence can be both substantial
and significant. We show that this joint influence can be described by a relatively
simple "genetic dose - phenotypic response" relationship.
Type
Journal articlePermalink
https://hdl.handle.net/10161/14881Published Version (Please cite this version)
10.18632/aging.100191Publication Info
Yashin, Anatoliy I; Wu, Deqing; Arbeev, Konstantin G; & Ukraintseva, Svetlana V (2010). Joint influence of small-effect genetic variants on human longevity. Aging (Albany NY), 2(9). pp. 612-620. 10.18632/aging.100191. Retrieved from https://hdl.handle.net/10161/14881.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
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
Dequing Wu
Research Scientist, Senior
Anatoli I. Yashin
Research Professor in the Social Science Research Institute
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