Demographic Analysis of Healthy Longevity in China

描述（由申请人提供）：我们请求8个月的支持，直到2009年7月31日，当R01完成时，我们将获得来自中国资源的大量匹配资金，用于额外的DNA数据收集，并在计划于2008年下半年进行的上一轮资助的中国纵向健康寿命调查（CLHLS）中增加一个40-64岁受访者的对照组。我们计划使用Oragene试剂盒从22个省份约937个县/市（除6个长寿区外）样本中的15409名志愿者中收集唾液DNA。我们将在6个百岁老人密度特别高的长寿地区，通过医疗人员的家庭健康检查，从6400名自愿参与者中收集血液（或唾液）样本和生物标志物。我们将在全国范围内收集21809名自愿参与者的DNA样本，其中包括约3404名百岁老人、4504名九十岁老人、4504名八十岁老人、4393名65-79岁的年轻老年人和3404名40-64岁的中年对照。年龄最大的受访者（即80岁以上的人）将包括大约1800对兄弟姐妹。此外，我们还将在6个长寿区域的800名百岁老人的800名子女和800名孙辈纳入样本。我们估计约有19492名受访者（占总样本的90%）将自愿提供唾液或血液DNA样本。我们将对1998年、2000年、2002年、2005年和2008年收集的多波CLHLS数据进行归档，并使其易于使用并广泛提供给所有感兴趣的学者。在2009年8月1日之后，我们将得到预期的研究支持，包括延长5年的母R01资助，以及中国的资金来支付在中国的大部分费用，我们将为每位自愿提供DNA的参与者确定几百个或更多候选基因座的基因型。我们将开发和应用人口统计学方法来分析本研究得出的非遗传和遗传数据，以估计社会、行为和环境风险因素和候选基因的影响，以及它们之间的相互作用对老年健康和寿命的影响。我们强调，这个环境-基因相互作用项目的最终目标是提出可行的健全政策和方案，将社会、行为、环境和基因（如药物和转基因治疗）干预措施结合起来，有效地促进人类老年健康。公共卫生相关性：本补充项目主要是为了在计划于2008年下半年进行的中国健康寿命纵向调查浪潮中收集额外的DNA数据，并由中国资源提供大量配套资金。我们的目标是更好地了解社会、行为、环境和遗传因素及其相互作用对健康寿命的影响。这个环境-基因相互作用项目的最终目标是提出可能合理的政策和计划，将行为、环境和遗传学（如药物和转基因治疗）干预措施结合起来，有效地提高人类在老年的健康水平。

DESCRIPTION (provided by applicant): 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.