Interaction Between the FOXO1A-209 Genotype and Tea Drinking Is Significantly Associated with Reduced Mortality at Advanced Ages.
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On the basis of the genotypic/phenotypic data from Chinese Longitudinal Healthy Longevity Survey (CLHLS) and Cox proportional hazard model, the present study demonstrates that interactions between carrying FOXO1A-209 genotypes and tea drinking are significantly associated with lower risk of mortality at advanced ages. Such a significant association is replicated in two independent Han Chinese CLHLS cohorts (p = 0.028-0.048 in the discovery and replication cohorts, and p = 0.003-0.016 in the combined dataset). We found the associations between tea drinking and reduced mortality are much stronger among carriers of the FOXO1A-209 genotype compared to non-carriers, and drinking tea is associated with a reversal of the negative effects of carrying FOXO1A-209 minor alleles, that is, from a substantially increased mortality risk to substantially reduced mortality risk at advanced ages. The impacts are considerably stronger among those who carry two copies of the FOXO1A minor allele than those who carry one copy. On the basis of previously reported experiments on human cell models concerning FOXO1A-by-tea-compounds interactions, we speculate that results in the present study indicate that tea drinking may inhibit FOXO1A-209 gene expression and its biological functions, which reduces the negative impacts of FOXO1A-209 gene on longevity (as reported in the literature) and offers protection against mortality risk at oldest-old ages. Our empirical findings imply that the health outcomes of particular nutritional interventions, including tea drinking, may, in part, depend upon individual genetic profiles, and the research on the effects of nutrigenomics interactions could potentially be useful for rejuvenation therapies in the clinic or associated healthy aging intervention programs.
Aged, 80 and over
Cause of Death
Forkhead Box Protein O1
Published Version (Please cite this version)10.1089/rej.2015.1737
Publication InfoZeng, Yi; Chen, Huashuai; Ni, Ting; Ruan, Rongping; Nie, Chao; Liu, Xiaomin; ... Vaupel, James W (2016). Interaction Between the FOXO1A-209 Genotype and Tea Drinking Is Significantly Associated with Reduced Mortality at Advanced Ages. Rejuvenation Res, 19(3). pp. 195-203. 10.1089/rej.2015.1737. Retrieved from https://hdl.handle.net/10161/14659.
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Assistant Professor of Neurology
Professor in Neurology
My principal area of research involves elucidating the molecular mechanisms underlying multi-factorial diseases. My lab is primarily interested identifying the complex genetic factors that give rise to multiple sclerosis (MS) and autism. We are using targeted approaches to identify differential methylation of the oxytocin receptor gene (OXTR) in individuals with autism, and applying these data to an NICHD funded ACE award, SOARS-B, to assess long term use of oxytocin nasal spray to improve so
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.
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
Associate Professor in Neurology
Developing and using computational biology methods to understand the genetic basis of disease with a focus on Alzheimer’s Disease. Recent work has focused on identification and validation of clinically-relevant biomarkers for Alzheimer’s disease and Alzheimer’s disease with Lewy bodies.
Research Professor in the Sanford School of Public Policy
Research Professor in the Social Science Research Institute
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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