JH/CIDR Genotyping for Genome-Wide Association Studies

用于全基因组关联研究的 JH/CIDR 基因分型

• 批准号: 7479370
• 负责人: DAVID VALLE
• 金额: $ 247.78万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-06 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7479370
• 关键词: Arts; Bioinformatics; Biological Assay; Cataloging; Catalogs; Communities; Complex; Computer software; Confidentiality of Patient Information; Contracts; Copy Number Polymorphism; Custom; DNA; Data; Data Analyses; Data Quality; Databases; Disease; Ensure; Environment; Evaluation; Failure; Frequencies; Generations; Genes; Genetic; Genetic Medicine; Genetic Services; Genetic Variation; Genetics and Medicine; Genome; Genomics; Genotype; Goals; Human Genetics; Individual; Inherited; Institutes; Laboratories; Manuscripts; Maps; Methods; Metric; Numbers; Performance; Population; Population Study; Privacy; Procedures; Process; Public Health Schools; Rate; Reporting; Research; Research Design; Research Ethics Committees; Research Personnel; Resources; Risk; SNP genotyping; Sampling; Science; Security; Services; Specific qualifier value; To specify; United States National Institutes of Health; Universities; Ursidae Family; Variant; Work; cost; data integrity; design; experience; gene environment interaction; genetic epidemiology; genome sequencing; genome wide association study; human disease; medical schools; response; trait

DESCRIPTION (provided by applicant): The recent tremendous progress in genomics provides biomedical science with a remarkable opportunity to unravel the complex interactions between genetic variation and environmental variables (Gene and Environment Interactions or GEI) responsible for common complex human disease. Some of the advances contributing to this opportunity include availability of high quality whole genome sequence from > 30 vertebrate species including our own plus a growing catalog of human genetic variation provided by HapMap and the fledgling projects aimed at understanding common structural variation. This opportunity is accompanied by a host of challenges including optimal study design, selection and utilization of a genotyping platform appropriate for each study, generation of high quality genotypic data and efficient and comprehensive downstream data analysis for genome wide association studies. The Johns Hopkins University Center for Inherited Disease Research (JH/CIDR) proposes to provide state-of- the-art whole genome association SNP genotyping for 12,000 samples over 3 years that will capture at least 80% of the genetic variation in the relevant study population as well as flexible regional genotyping that will enable custom fine mapping of genomic regions shown to harbor genes contributing risk for complex traits. We will also provide ancillary services as needed for individual projects including DNA isolation, whole genome amplification, assistance in study design and data analysis and provision of genotypic data in study-specific formats to the investigators and to the specified central database. Finally, we will work with the GEI Coordinating Committee in the planning and performance of this project. To achieve these aims we will build on the ten-year experience of JH/CIDR releasing more than 30 million high quality STRP and 1.2 billion high quality SNP genotypes for 128 projects and ~165,000 DNA samples. In this effort, we have interacted with >125 investigators providing genetic epidemiology expertise to assist with study design and analysis. Additionally, we will continue our commitment to evaluation of the rapidly evolving technological environment to provide the genetics community with the most robust, reliable and cost-effective genotyping platforms available. We will also take advantage of the rich scientific environment provided by the Johns Hopkins McKusick-Nathans Institute of Genetic Medicine and the greater Johns Hopkins School of Medicine and School of Public Health environment to maximize the broad expertise we bring to bear on this project.

描述（由申请人提供）：最近基因组学的巨大进展为生物医学科学提供了一个非凡的机会，以揭示遗传变异和环境变量之间复杂的相互作用（基因和环境相互作用或GEI），负责常见的复杂人类疾病。为这一机会做出贡献的一些进展包括：从bb30种脊椎动物（包括我们自己）中获得的高质量全基因组序列，以及由HapMap提供的不断增长的人类遗传变异目录，以及旨在理解共同结构变异的新兴项目。这一机遇伴随着一系列挑战，包括优化研究设计、选择和利用适合每项研究的基因分型平台、生成高质量的基因分型数据以及为全基因组关联研究提供高效和全面的下游数据分析。