We are requesting an 8-month support through 7/31/09 when the R01 completes, with substantial matching funds from Chinese resources, for additional DNA data collection and the addition of a control group of interviewees aged 40-64 in the last funded Chinese Longitudinal Healthy Longevity Survey (CLHLS) wave scheduled for the second half of 2008. We plan to collect saliva DNA using Oragene tool kits from voluntary participants among 15,409 interviewees in the sample of about 937 counties/cities (other than the six longevity areas) in 22 provinces. We will collect blood (or saliva) samples and biomarkers through in- home health examinations by medical personnel from voluntary participants among 6,400 interviewees in the six longevity areas where the density of centenarians is exceptionally high. In total, we will collect DNA samples nationwide from willing participants among 21,809 interviewees, including about 3,404 centenarians, 4,504 nonagenarians, 4,504 octogenarians, 4,393 younger elderly aged 65-79, and 3,404 middle-aged controls aged 40-64. The oldest-old interviewees (i.e., those aged 80+) will include about 1,800 sibling pairs. In addition, we will also include in the sample 800 children and 800 grandchildren of the 800 centenarians in the six longevity areas. We estimate that about 19,492 interviewees (90 percent of the total sample) will voluntarily contribute either saliva or blood DNA samples. We will archive the multi-wave CLHLS data collected in 1998, 2000, 2002, 2005, and 2008, and make them user-friendly and widely available to all interested scholars. With anticipated research support after 8/1/2009, including a renewal of the parent R01 grant for five additional years of funding and Chinese funds to cover most of the costs in China, we will determine the genotype at a couple of hundred or more candidate loci for each of the willing participants who contribute DNA. We will develop and apply demographic/statistical methods for analyzing the non-genetic and genetic data resulted from this study to estimate the impacts of social, behavioral and environmental risk-factors and candidate genes, as well as their interactions on health and longevity at advanced ages. We emphasize that the ultimate goal of this environment-genes interaction project is to propose possible sound policies and programs that integrate social, behavioral, environmental and genetics (e.g. drugs and transgenic treatments) interventions for effectively enhancing human health at advanced ages.

Public Health Relevance

This supplement project is mainly for additional DNA data collection in the Chinese Longitudinal Healthy Longevity Survey wave scheduled for the second half of 2008, with substantial matching funds from Chinese resources.
We aim to gain a better understanding of the impacts of social, behavior, environmental and genetic factors and their interactions on healthy longevity. The ultimate goal of this environment-genes interaction project is to propose possible sound policies and programs that integrate behavior, environmental, and genetics (e.g. drugs and transgenic treatments) interventions for effectively enhancing human health at advanced ages.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
3R01AG023627-05S1A1
Application #
7585119
Study Section
Social Sciences and Population Studies Study Section (SSPS)
Program Officer
Patmios, Georgeanne E
Project Start
2004-09-01
Project End
2010-07-31
Budget Start
2009-02-01
Budget End
2010-07-31
Support Year
5
Fiscal Year
2009
Total Cost
$347,586
Indirect Cost
Name
Duke University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Liu, Zu-Yun; Wei, Yin-Zhi; Wei, Li-Qing et al. (2018) Frailty transitions and types of death in Chinese older adults: a population-based cohort study. Clin Interv Aging 13:947-956
Tian, Maoyi; Yin, Xuejun; Dunzhu, Danzeng et al. (2018) A qualitative evaluation of a simplified cardiovascular management program in Tibet, China. Global Health 14:24
Zeng, Yi; Nie, Chao; Min, Junxia et al. (2018) Sex Differences in Genetic Associations With Longevity. JAMA Netw Open 1:
Zeng, Yi; Feng, Qiushi; Gu, Danan et al. (2017) Demographics, phenotypic health characteristics and genetic analysis of centenarians in China. Mech Ageing Dev 165:86-97
Zeng, Yi; Feng, Qiushi; Hesketh, Therese et al. (2017) Survival, disabilities in activities of daily living, and physical and cognitive functioning among the oldest-old in China: a cohort study. Lancet 389:1619-1629
Gao, Min; Li, Yanyu; Zhang, Shengfa et al. (2017) Does an Empty Nest Affect Elders' Health? Empirical Evidence from China. Int J Environ Res Public Health 14:
Lei, Peng; Feng, Zhixin; Wu, Zhuochun (2016) The availability and affordability of long-term care for disabled older people in China: The issues related to inequalities in social security benefits. Arch Gerontol Geriatr 67:21-7
Gu, Danan; Zhu, Haiyan; Brown, Tyson et al. (2016) Tourism Experiences and Self-Rated Health Among Older Adults in China. J Aging Health 28:675-703
Lv, Y-B; Yin, Z X; Chei, C-L et al. (2016) Serum Cholesterol Levels within the High Normal Range Are Associated with Better Cognitive Performance among Chinese Elderly. J Nutr Health Aging 20:280-7
Zeng, Yi; Brasher, Melanie Sereny; Gu, Danan et al. (2016) Older Parents Benefit More in Health Outcome From Daughters' Than Sons' Emotional Care in China. J Aging Health 28:1426-1447

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