Project 1: Effect of Multi-Level Environmental Exposure on Birth Outcomes

项目1：多层次环境暴露对出生结果的影响

基本信息

批准号：
7850140
负责人：
Ira B Tager
金额：
$ 2.96万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-05-07 至 2013-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7850140
关键词：
Address Adult Adverse effects Air Air Pollution Alcohol consumption Asthma Autistic Disorder Birth Birth Certificates Birth Weight California Censuses Characteristics Chemicals Child Child health care Childhood Communities Coronary heart disease DNA Data Data Set Databases Demographic Factors Environmental Exposure Environmental Risk Factor Epigenetic Process Event Exposure to Funding Future Genetic Genetic Polymorphism Geographic Locations Grant Health Healthcare Impairment Individual Influentials Investigation Joints Length Life Literature Low Birth Weight Infant Mails Malignant Childhood Neoplasm Malignant Neoplasms Measures Metabolic Diseases Methods Metric Modeling Modification Monitor Mothers National Institute of Environmental Health Sciences Nature Neighborhoods Obesity Outcome Outcome Study Participant Particulate Particulate Matter Plague Predisposition Pregnancy Premature Birth Registries Research Research Design Risk Risk Factors Role Saliva Sample Size Sampling Schools Simulate Specimen Statistical Methods Subgroup Time United States Violence Work air monitoring autism spectrum disorder base burden of illness case control cohort cost density deprivation design fetal genetic analysis improved low socioeconomic status novel nutrition particle pollutant prenatal prenatal influence programs pulmonary function socioeconomics trafficking

项目摘要

The primary data for Project 1 will come from an R21 funded by NIEHS (R21 ES 014891-01A1, Influences of genetics and air pollution exposures on birth outcomes.) Part A ofthe R21 uses refined air pollution and traffic density data to examine their influence of on adverse birth outcomes such as low birth weight and premature birth. Part B of the R21 evaluates the feasibility of assembling a birth-cohort to provide saliva samples for the analysis of genetic and epigenetic susceptibility to the effects of air pollution. During the pre-Center funding, we will obtain additional spatially-refined exposure data from the prenatal periods of over 300, 000 birth in the San Joaquin Valley of California. We will implement novel statistical methods to evaluate possible longitudinal and joint of effects of pollutant mixtures on birth outcomes. In addition to the spatially-refined air pollution data, detailed traffic counts and density data, census and neighborhood-level characteristics, and for some demographic variables, simulated individual-level data will be used to control for confounding and identification of susceptible subgroups. It will evaluate the feasibility of a similar study design to examine numerous important children's health outcomes. Examples of outcomes include asthma, autism spectrum disorders, cancer, and metabolic disorders such as obesity. Genetic samples will be obtained from mothers/children identified in Part B ofthe R21 and stored for analysis during a full Center grant. Extensive investigation will be done to identify the proper set of genetic polymorphisms that may influence susceptibility to the effects of air pollution and those that are associated with preterm birth. Similar investigations will be done to identify genetic polymorphism associated with the risk ofthe other health outcomes listed. We have chosen a cost-efficient approach by making use of an exposure dataset of unparalleled richness with respect to specific pollutants (CRPAQS) and existing birth certificates files while at the same time developing a birth cohort and specimen bank for future research. Our study will also make use of modeling strategies developed for other funded studies conducted within the same region.

项目 1 的主要数据将来自 NIEHS 资助的 R21（R21 ES 014891-01A1，遗传和空气污染暴露对出生结果的影响。）R21 的 A 部分使用精炼的空气污染和交通密度数据来检验其对出生结果的影响。不良出生结果，如低出生体重和早产。 R21 的 B 部分评估了组建出生队列以提供唾液样本以分析空气污染影响的遗传和表观遗传易感性的可行性。在中心前期资助期间，我们将从加利福尼亚州圣华金河谷 300, 000 多名新生儿的产前期获得额外的空间精细暴露数据。我们将采用新的统计方法来评估污染物混合物对出生结果可能产生的纵向和联合影响。除了空间精细的空气污染数据、详细的交通计数和密度数据、人口普查和社区级别的数据外，特征，对于一些人口统计变量，将使用模拟的个体水平数据来控制用于混淆和识别易感亚组。它将评估类似研究的可行性旨在检查许多重要的儿童健康结果。结果的例子包括哮喘、自闭症谱系障碍、癌症和肥胖等代谢性疾病。基因样本将从 R21 B 部分中确定的母亲/儿童中获取，并在中心全额拨款期间储存以供分析。我们将进行广泛的调查，以确定可能影响空气污染和早产相关影响易感性的一组适当的遗传多态性。将进行类似的调查，以确定与列出的其他健康结果风险相关的遗传多态性。我们选择了一种经济高效的方法，利用特定污染物 (CRPAQS) 方面极其丰富的暴露数据集和现有的出生证明文件，同时开发出生队列和样本库以供未来研究。我们的研究还将利用为同一地区进行的其他资助研究开发的建模策略。