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GxE interactions between FOXO genotypes and drinking tea are significantly associated with prevention of cognitive decline in advanced age in China.

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Date
2015-04
Authors
Zeng, Yi
Chen, Huashuai
Ni, Ting
Ruan, Rongping
Feng, Lei
Nie, Chao
Cheng, Lingguo
Li, Yang
Tao, Wei
Gu, Jun
Land, Kenneth C
Yashin, Anatoli
Tan, Qihua
Yang, Ze
Bolund, Lars
Yang, Huanming
Hauser, Elizabeth
Willcox, D Craig
Willcox, Bradley J
Tian, Xiao-Li
Vaupel, James W
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(21 total)
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Abstract
Logistic regression analysis based on data from 822 Han Chinese oldest old aged 92+ demonstrated that interactions between carrying FOXO1A-266 or FOXO3-310 or FOXO3-292 and tea drinking at around age 60 or at present time were significantly associated with lower risk of cognitive disability at advanced ages. Associations between tea drinking and reduced cognitive disability were much stronger among carriers of the genotypes of FOXO1A-266 or FOXO3-310 or FOXO3-292 compared with noncarriers, and it was reconfirmed by analysis of three-way interactions across FOXO genotypes, tea drinking at around age 60, and at present time. Based on prior findings from animal and human cell models, we postulate that intake of tea compounds may activate FOXO gene expression, which in turn may positively affect cognitive function in the oldest old population. Our empirical findings imply that the health benefits of particular nutritional interventions, including tea drinking, may, in part, depend upon individual genetic profiles.
Type
Journal article
Subject
Cognitive disability
FOXO genotypes
GxE interactions
Oldest old.
Tea drinking
Aged, 80 and over
Aging
Alleles
Asian Continental Ancestry Group
China
Cognition
Cognition Disorders
Drinking Behavior
Evidence-Based Medicine
Female
Forkhead Box Protein O1
Forkhead Box Protein O3
Forkhead Transcription Factors
Gene Expression
Genotype
Humans
Longitudinal Studies
Male
Phenotype
Risk Factors
Surveys and Questionnaires
Tea
Permalink
https://hdl.handle.net/10161/14682
Published Version (Please cite this version)
10.1093/gerona/glu060
Publication Info
Zeng, Yi; Chen, Huashuai; Ni, Ting; Ruan, Rongping; Feng, Lei; Nie, Chao; ... Vaupel, James W (2015). GxE interactions between FOXO genotypes and drinking tea are significantly associated with prevention of cognitive decline in advanced age in China. J Gerontol A Biol Sci Med Sci, 70(4). pp. 426-433. 10.1093/gerona/glu060. Retrieved from https://hdl.handle.net/10161/14682.
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

Elizabeth Rebecca Hauser

Professor of Biostatistics and Bioinformatics
My research interests are focused on developing and applying statistical methods to search for genes causing common human diseases. Recent work has been in the development of statistical methods for genetic studies and in identifying optimal study designs for genetic studies of complex traits. As application of these methods to specific diseases has progressed it has become apparent that etiologic and genetic heterogeneity is a major stumbling block in the research for genes for common diseases.
Land

Kenneth C. Land

John Franklin Crowell Distinguished Professor Emeritus of Sociology
I received my Ph.D. in sociology and mathematics from the University of Texas at Austin in 1969. After a year of postdoctoral study in mathematical statistics at Columbia University in New York City, I taught there and was a member of the staff of the Russell Sage Foundation for three years. I then was successively a member of the faculties of the University of Illinois at Urbana Champaign and the University of Texas at Austin before joining the Duke Sociology Department as Chairman in
Vaupel

James Walton Vaupel

Research Professor in the Sanford School of Public Policy
Yashin

Anatoli I. Yashin

Research Professor in the Social Science Research Institute
Zeng

Yi Zeng

Professor in Medicine
(1) Socioeconomic, behavior, environmental and genetic determinants of healthy aging and healthy longevity; (2) Factors related to elderly disability and mental health; (3) Methods of family households and elderly living arrangements forecasting/analysis and their applications in health services and socioeconomic planning, and market studies; (4) Policy analysis in population aging, social welfare, retirement, and fertility transitions.
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