Add Health: A Genotype and Phenotype Resource for the Global Scientific Community

添加健康：全球科学界的基因型和表型资源

• 批准号: 8514413
• 负责人: Kathleen Mullan Harris
• 金额: $ 70.59万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-24 至 2017-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8514413
• 关键词: Address; Adolescence; Adolescent; Adult; Age; Alcohol or Other Drugs use; Archives; Behavior; Behavioral; Biological; Biological Markers; Blood; Candidate Disease Gene; Cardiovascular Diseases; Chronic Disease; Collection; Communities; Consent; Cost Savings; Coupled; DNA; Data; Data Collection; Deposition; Development; Documentation; Education; Environment; Family; Funding; Future; Genes; Genetic; Genetic Markers; Genome; Genotype; Health; Health Status Indicators; Home environment; Human; Institute of Medicine (U.S.); Interdisciplinary Study; Interview; Journals; Knowledge; Life; Life Cycle Stages; Longitudinal Studies; Measurement; Medical; Neighborhoods; Obesity; Overweight; Participant; Patient Self-Report; Peer Review; Phenotype; Physical activity; Program Research Project Grants; Public Health; Publishing; Race; Request for Proposals; Research; Research Personnel; Resources; Respondent; Risk Behaviors; Sampling; Schools; Science; Sex Behavior; Specimen; Spottings; Technology; Time; United States; Work; aged; base; cost; database of Genotypes and Phenotypes; design; genetic linkage; genome wide association study; genome-wide; life history; multidisciplinary; peer; prevent; programs; social; socioeconomics; tool; young adult

DESCRIPTION (provided by applicant): Genome-wide association studies (GWAS) are an effective and increasingly affordable tool to investigate genetic contributions to human health. However, existing data are limited by homogeneity of samples, modest environmental data, and absence of longitudinal information. These limitations preclude a dynamic, multilevel integrative approach to health that captures bidirectional biological and contextual contributions and their interactions over time. To address this gap, this application proposes to complete genotyping on approximately 6,000 archived DNA samples using whole genome array technology, and make available to the global scientific community an unprecedented national resource of rich, longitudinal environmental data coupled with comprehensive phenotype and genotype data on more than 12,000 participants in the nationally representative, ethnically diverse Add Health sample. Add Health has archived DNA specimens for future research and is currently genotyping approximately 6,000 samples for GWAS. This project will complete genotyping on the entire sample, disseminate these data and conduct preliminary GWAS. We have three specific aims: Aim 1) Using the Illumina Omni1-Quad BeadChip (more than 1 million genetic markers), complete genotyping on the archived DNA, yielding a sample of 12,000. Aim 2) Develop a national and global resource for the scientific community by collaborating with dbGaP to deposit Add Health genotype, phenotype, and environmental data. Aim 3) Conduct preliminary GWAS and explore gene x environment (GxE) interactions to identify biological and contextual contributions to phenotypes that are well-defined in Add Health and with which the investigative team has substantive expertise, including obesity, substance use, and cardiovascular disease. Add Health sampled the multiple environments in which young people live their lives, including the family, peers, school, neighborhood, community, and relationship dyads, and provides independent and direct measurement of these environments over time. Add Health contains extensive longitudinal information on health-related behavior, including life histories of physical activity, involvement in risk behavior, substance use, sexual behavior, civic engagement, education, and multiple indicators of health status based on self-report (e.g., general health, chronic illness), direct measurement (e.g., overweight status and obesity), and biomarkers (e.g., blood spots). No other data resource with this expanse of genotype and phenotype data on a large nationally representative longitudinal sample with race, ethnic, socioeconomic, and geographic diversity exists.

描述（由申请人提供）：全基因组关联研究（GWAS）是研究对人类健康遗传贡献的有效且越来越负担得起的工具。但是，现有数据受样本，适度的环境数据的均匀性以及缺少纵向信息的限制。这些局限性排除了一种动态的，多层次的整合方法，可以捕获双向生物学和上下文贡献及其相互作用。为了解决这一差距，该应用程序建议使用整个基因组阵列技术完成大约6,000个存档的DNA样品的基因分型，并为全球科学界提供了一种空前的国家资源，具有丰富的，纵向的环境数据，与全面的表型和基因型数据相结合，可在国家代表性地代表性的国家代表性地添加健康，添加健康，将其添加到全国的12,000多个参与者。 Add Health已将DNA标本存档以进行未来的研究，目前正在基因分型为GWAS进行大约6,000个样本。该项目将完成整个样本的基因分型，传播这些数据并进行初步GWAS。我们有三个特定的目标：目标1）使用Illumina Omni1-Quad Beadchip（超过100万个遗传标记），对存档的DNA进行完整的基因分型，从而产生12,000个样本。目标2）通过与DBGAP合作存放添加健康基因型，表型和环境数据，为科学界开发了国家和全球资源。目标3）进行初步的GWAS并探索基因X环境（GXE）相互作用，以确定对表型的生物学和上下文贡献，这些表型可以增加健康，并且调查团队具有实质性专业知识，包括肥胖，药物使用和心血管疾病。添加健康取样了年轻人生活的多种环境，包括家庭，同龄人，学校，社区，社区和关系二元组，并随着时间的推移提供独立和直接测量这些环境。添加健康包含有关健康相关行为的广泛纵向信息，包括体育活动的生活史，涉及风险行为，吸毒，性行为，性行为，公民 基于自我报告（例如一般健康，慢性疾病），直接测量（例如，超重状态和肥胖症）和生物标志物（例如，血液点），参与，教育和健康状况多重指标。在具有种族，种族，社会经济和地理多样性的大型国家代表性纵向样本上，没有其他数据资源，具有这种基因型和表型数据。