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基于大规模前瞻性队列复杂纵向数据的哮喘风险评估与预测模型的建立

基于大规模前瞻性队列复杂纵向数据的哮喘风险评估与预测模型的建立
  • 导航:首页 > 科学基金
  • 批准号:81530086
  • 批准年度: 2015年
  • 学科分类:妇幼保健(H2605) |
  • 项目负责人:张军
  • 负责人职称:研究员
  • 依托单位:上海交通大学
  • 资助金额:273万元
  • 项目类别:重点项目
  • 研究期限:2016年01月01日 至 2020年12月31日
  • 中文关键词: 大规模;前瞻性;风险评估;预测;建立
  • 英文关键词:big data;cohort study;asthma;environment factors;predictive model

项目摘要

中文摘要

我国儿童哮喘快速增长,每十年翻一番,完全控制率低仅3%,严重威胁我国人群健康。作为可控性疾病,早期预测、预防哮喘的发生、发作是降低哮喘危害的根本方法。目前国际上缺乏早期预测哮喘的可靠模型,已有证据多来自西方发达国家人群,不完全适用于中国人群。本项目以已建立的前瞻性大型出生队列为基础,描述我国哮喘的长期变化趋势,利用复杂的大数据和统计模型,分析环境、遗传、行为、心理、社会、气象、气候等危险因素及特殊暴露对哮喘发病、发作、转归的单独和联合作用;在前期基础上筛选和验证中国人群哮喘的遗传易感位点;探讨多基因多态性与哮喘的关联,分析遗传与环境因素复杂的交互作用对哮喘发生的作用,尝试构建和评价适用于中国人群的哮喘发病、发作、转归的风险预测模型,并进行卫生经济学评估,预测未来我国哮喘疾病负担和社会经济负担。本项目将为制定我国哮喘防治对策、更新哮喘防治指南、更有效的识别高危人群提供中国人群高质量的证据。

英文摘要

The prevalence of childhood asthma has been increasing rapidly in China, doubled every 10 years. The rate of total control, on the other hand, is only 3%. Such a combination seriously affects the population health. As a controllable disease, early prediction and early prevention of asthmatic occurrence and recurrence are the key approach to minimize the adverse impact of the disease. Currently no asthma prediction model with good reliability is available. Even the limited evidence often comes from developed countries, which may not be applicable to the Chinese population. The project will use data from established prospective birth cohort studies to predict the trend of asthma prevalence in China. We will use complex longitudinal data with sophisticated statistical models to examine how environment, genetics, behavior, psychology, society, climate and meteorology, etc. may affect the occurrence, recurrence and prognosis of childhood asthma individually and synergistically. Built upon our previous work of screening and validation of susceptible gene loci in the Chinese population, we will explore the effects of genetic polymorphisms and gene x environment interaction on asthma occurrence and recurrence. All these analyses will contribute to the prediction models for asthma occurrence, recurrence and prognosis. Health economic evaluation as well as prediction of disease and socioeconomic burden in China will be performed. Our prediction models will provide evidence to identify high risk population, establish new guidelines for asthma prevention, and help to set and implement health policies on asthma.

评估说明

    国家自然科学基金项目“基于大规模前瞻性队列复杂纵向数据的哮喘风险评估与预测模型的建立”发布于爱科学iikx,并永久归类于相关科学基金导航中,仅供广大科研工作者查询、学习、选题参考。国科金是根据国家发展科学技术的方针、政策和规划,以及科学技术发展方向,面向全国资助基础研究和应用研究,发挥着促进我国基础研究源头创新的作用。国科金的真正价值在于它能否为科学进步和社会发展带来积极的影响。

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