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

本项目主要研究遗传学和GxE效应的性别差异 对老年人认知、心理健康和生存的影响。分析将主要基于 来自中国健康长寿纵向调查（CLHLS）的基因型/表型数据， 使用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， 女性个体遗传特征的差异，以提高干预的效率。 本研究的主要目的是：（1）发现性别特异性遗传变异 与认知，心理健康和老年生存有关。(2)调查性 在Aim（1）和GxE相互作用中识别的遗传变异对认知、心理和行为的影响差异 老年人的健康和生存，使用CLHLS数据。(3)国际复制/比较分析 遗传和GxE对老年人认知、心理健康和寿命的影响。我们将使用可用的GWAS 并调查HRS和SCHS的数据集，以复制/比较基于CLHLS的重要发现 数据（目的（1）-（2）），以了解跨国家和种族的相似性和差异。(4)开发一个 用于健康老龄化研究的综合CLHLS基因型/表型数据库， 百岁老人、九十岁老人和其他年龄段的男性和女性的最大样本。去识别化的CLHLS 基因型/表型数据将在NIH dbGaP程序中被处理，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.