Epidemiologic Architecture for Genes Linked to Environment (EAGLE)

环境相关基因的流行病学结构 (EAGLE)

基本信息

批准号：
8693155
负责人：
DANA C CRAWFORD
金额：
$ 15万
依托单位：
VANDERBILT UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-07-17 至 2013-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8693155
关键词：
Accounting African Age related macular degeneration Alleles American Architecture Cardiovascular Diseases Centers for Disease Control and Prevention (U.S.)Chemicals Clinical Clinical Data Collection Communities Complex Contracts Coronary Arteriosclerosis Cotinine Cross-Sectional Studies DNA Data Data Set Development Diet Disease Elderly Electron Transport Ensure Environment Environmental Exposure Epidemiology Equipment European Family Female Frequencies Funding Future General Population Genes Genetic Genetic Research Genetic Variation Genome Genotype Grant Haplotypes Health Health Status Human Human Genetics Human Genome Human Genome Project Individual Inflammation International Investments Laboratories Life Style Link Literature Maps Measurement Measures Metabolic Methods Mexican Americans Minority Mitochondria Modeling National Health and Nutrition Examination Survey Non-Insulin-Dependent Diabetes Mellitus Not Hispanic or Latino Nuclear Obesity Outcome Participant Pharmaceutical Preparations Phase Phenotype Physical Examination Physical activity Physicians Population Population Attributable Risks Population Heterogeneity Positioning Attribute Predisposition Preventive Intervention Proteins Public Health Questionnaires Reporting Request for Applications Research Research Personnel Resources Rheumatoid Arthritis Risk SNP genotyping Sampling Staging Standardization Statistical Methods Surveys System Testing Translating United States National Center for Health Statistics Universities Variant Visit base case control cigarette smoking cigarette smoking clinical phenotype cohort cost effective demographics disease phenotype disorder prevention gene environment interaction gene interaction genetic association genome wide association study glucose metabolism human disease interest lipid metabolism novel pesticide exposure population based research study sex statistics trait translational study

项目摘要

DESCRIPTION (provided by applicant): With the advent of the Human Genome Project, the International HapMap Project, and high-throughput yet cost-effective genotyping, it is now possible to interrogate the human genome with >1 million markers for associations with common human diseases and traits. Within the last few months, the literature has become inundated with reports of genome-wide association (GWA) studies identifying new genetic variations associated with phenotypes of public health interest. While the flurry of discovery is exciting, the usefulness of these new findings in a general population setting remains unclear. Therefore, the next steps beyond the initial GWA studies must provide population-based data on these initial associations before the most promising findings can be translated into improvements in intervention, prevention, and/or treatment options for the general population. The genetic component of the National Health and Nutrition Examination Surveys (NHANES; n~20,000) can provide the data necessary to move beyond the initial GWA study discoveries. NHANES is a U.S. population-based, cross-sectional survey collected by the Centers for Disease Control and Prevention. NHANES DNAs are linked to demographic, health, lifestyle, laboratory, extensive clinical, and physical examination data for participating individuals. Because participants are ascertained regardless of health status, NHANES is a rich resource for phenotypes (clinical endpoints and quantitative traits) and environmental exposures. With this large dataset, the epidemiologic architecture of GWA-identified genetic variations will be described, and association studies will be conducted to provide more accurate effect size estimates and population attributable fractions for many common diseases and traits such as type 2 diabetes, obesity, and coronary artery disease. Finally, tests for gene-environment and nuclear mitochondrial gene interactions will be performed, the latter of which laboratory data will be generated to support the statistical association. The purpose of this grant is to provide evidence in population-based datasets that GWA-identified genetic variations are relevant to most people. As such, GWA-identified variations will be characterized and population-based statistics and data for modifiers of these variations will be released rapidly so that the most promising findings can be incorporated into future translational studies by the research community.

描述（由申请人提供）：随着人类基因组计划、国际单体型图计划以及高通量且具有成本效益的基因分型的出现，现在可以用超过 100 万个标记来探究人类基因组与普通人类的关联。疾病和特征。在过去的几个月里，文献中充斥着全基因组关联（GWA）研究的报告，这些研究确定了与公共卫生利益表型相关的新遗传变异。虽然一系列的发现令人兴奋，但这些新发现在一般人群中的有用性仍不清楚。因此，除了最初的 GWA 研究之外，接下来的步骤必须提供有关这些初始关联的基于人群的数据，然后才能将最有希望的发现转化为针对普通人群的干预、预防和/或治疗方案的改进。国家健康和营养检查调查（NHANES；n~20,000）的遗传成分可以提供超越最初的 GWA 研究发现所需的数据。 NHANES 是一项由美国疾病控制与预防中心收集的基于美国人口的横断面调查。 NHANES DNA 与参与个体的人口统计、健康、生活方式、实验室、广泛的临床和体检数据相关联。由于无论健康状况如何，都会确定参与者，因此 NHANES 是表型（临床终点和数量性状）和环境暴露的丰富资源。借助这一大型数据集，将描述 GWA 确定的遗传变异的流行病学结构，并将进行关联研究，以提供更准确的效应大小估计和许多常见疾病和性状（如 2 型糖尿病、肥胖症和糖尿病）的人群归因分数。冠状动脉疾病。最后，将进行基因-环境和核线粒体基因相互作用的测试，后者将生成实验室数据以支持统计关联。这笔赠款的目的是在基于人群的数据集中提供证据，证明 GWA 识别的遗传变异与大多数人相关。因此，GWA 识别的变异将得到表征，并且基于人群的统计数据和这些变异修饰符的数据将迅速发布，以便研究界可以将最有希望的发现纳入未来的转化研究中。

项目成果

期刊论文数量（19）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Characterization of mitochondrial haplogroups in a large population-based sample from the United States.

DOI：
10.1007/s00439-014-1421-9
发表时间：
2014-07
期刊：
HUMAN GENETICS
影响因子：
5.3
作者：
Mitchell, Sabrina L.;Goodloe, Robert;Brown-Gentry, Kristin;Pendergrass, Sarah A.;Murdock, Deborah G.;Crawford, Dana C.
通讯作者：
Crawford, Dana C.

Extracting Country-of-Origin from Electronic Health Records for Gene- Environment Studies as Part of the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) Study.

从电子健康记录中提取原产国用于基因环境研究，作为环境相关基因流行病学架构 (EAGLE) 研究的一部分。

DOI：
发表时间：
2017
期刊：
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
影响因子：
0
作者：
Farber-Eger,Eric;Goodloe,Robert;Boston,Jonathan;Bush,WilliamS;Crawford,DanaC
通讯作者：
Crawford,DanaC

Leveraging Epidemiologic and Clinical Collections for Genomic Studies of Complex Traits.

DOI：
10.1159/000381805
发表时间：
2015
期刊：
Human heredity
影响因子：
1.8
作者：
Crawford DC;Goodloe R;Farber-Eger E;Boston J;Pendergrass SA;Haines JL;Ritchie MD;Bush WS
通讯作者：
Bush WS

Extracting Primary Open-Angle Glaucoma from Electronic Medical Records for Genetic Association Studies.