Sex differences in effects of genetics & GxE interactions on elderly cognition, mental health and survival

这项竞争性的修订项目关注于研究性别差异对遗传学和GxE的影响 老年人认知、心理健康和生存的相互作用。分析将主要基于 中国健康长寿纵向调查(CLHLS)中的基因/表型数据 并使用来自美国健康和退休调查(HRS)和新加坡HAN的可用数据集进行比较 中国人健康研究(SCHS)。我们的目标是为未来的健康促进计划做出贡献，考虑到男性和 女性个体差异的遗传特征，以增加干预的效率。 我们跨学科研究的目标是：(1)显著识别特定性别的基因变异 与认知、心理健康和老年生存相关，使用CLHLS数据。(2)调查性行为 AIM(1)和GxE交互作用中发现的遗传变异对认知、心理影响的差异 健康和老年存活率，使用CLHLS数据。(3)国际可复制/比较分析 遗传和GxE对老年人的认知、心理健康和长寿的影响。我们将使用可用的GWA 和来自HRS和SCHS的调查数据集，以复制/比较基于CLHLS的重要发现 数据(AIMS(1)-(2))，以了解跨国和种族的相似和差异。(4)发展 用于健康衰老研究的综合CLHLS基因/表型数据库，将代表世界 男性和女性百岁老人、非老年人和其他年龄段的最大样本。被取消身份的CLHLS 基因/表型数据将在NIH的DBGaP程序中废弃，以供其他学者研究。

This competing revision Project focus on investigating the sex difference in effects of genetics & GxE interactions on elderly cognition, mental health and survival. Analyses will be based primarily on genotype/phenotype data from the Chinese Longitudinal Healthy Longevity Surveys (CLHLS), with replications and comparisons using available datasets from U.S. Health and Retirement Survey (HRS) and Singapore Han Chinese Health Study (SCHS). We aim to contribute to future health promotion programs considering male and female individual differences in genetic characteristics, in order to increase the efficiency of the interventions. The Aims of our interdisciplinary research are: (1) Identify sex-specific genetic variants significantly associated with cognition, mental health and survival at old ages, using CLHLS data. (2) Investigate sex differences in the effects of genetic variants identified in Aim (1) and GxE interactions on cognition, mental health and survival at old ages, using the CLHLS data. (3) International replicative/comparative analyses of genetic and GxE effects on cognition, mental health and longevity at old ages. We will use available GWAS and survey datasets from HRS and SCHS to replicate/compare the significant findings based on the CLHLS data (Aims (1)-(2)), to understand cross country and ethnic similarities and differences. (4) Develop an integrated CLHLS genotype/phenotype database for healthy aging studies which will represent the world’s largest samples of male and female centenarians, nonagenarians and other ages. The de-identified CLHLS genotypic/phenotypic data will be deposed in the NIH dbGaP program for other scholars’ research.