CAREER: Integrated Approaches to Mapping Genome to Phenome

职业：将基因组映射到表型组的综合方法

• 批准号: 0747475
• 负责人: Xianghong Zhou
• 金额: $ 66.67万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-15 至 2014-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0747475&HistoricalAwards=false
• 关键词: CAREER; Integrated; Approaches; Mapping; Genome

The University of Southern California is awarded an award for the development of integrated approaches to genome to phenome mapping. The project will utilize the rapidly accumulating body of genomics data, especially the enormous amount of public microarray data, together with the associated phenotypic and environmental context information to reconstruct the biological basis of phenotypes. Traditional association studies have been relatively successful at relating genetic polymorphisms to phenotypes. However, they have met difficulties in elucidating the gene-gene interactions that contribute to complex phenotypes. Just as the genome and proteome signify all of an organism's genes and proteins, the phenome represents the entirety of its phenotypic traits. The objective of the project is to develop novel methods aimed at deriving genome-wide molecular networks of genotype-phenotype associations, termed "phenomic associations.? The project will carry out four specific activities: (1) genome-wide mapping of phenotype-specific network modules; (2) systematic reconstruction of phenotype-specific transcriptional regulatory networks; (3) phenotype prediction and computational diagnosis utilizing public genomics databases, especially the large public microarray repositories, to create an automated disease diagnosis database; and (4) development of a software/database system that will integrate genomics and phenomics analysis. The proposed research is coupled with multidisciplinary training of graduate and undergraduate students in computational genomics. A forum will created for high school biology teachers and career discussion events will be hosted for high school students. Community outreach activities will be supported by the USC Neighborhood Academic Initiative.

南加州大学因开发基因组综合方法为现象映射而获得奖项。该项目将利用基因组学数据的快速积累的体系，尤其是大量的公共微阵列数据，以及相关的表型和环境环境信息，以重建表型的生物学基础。传统的关联研究在将遗传多态性与表型联系起来相对成功。但是，他们在阐明有助于复杂表型的基因 - 基因相互作用方面遇到了困难。正如基因组和蛋白质组表示所有生物体的基因和蛋白质一样，现象也代表其全部表型特征。该项目的目的是开发旨在得出基因型 - 表型关联的全基因组分子网络的新方法，称为“现象关联。利用公共基因组学数据库，尤其是大型的公共微阵列存储库，创建一个自动化的疾病诊断数据库，（4）可以将基因组学和现象学分析整合到研究生中的研究生培训和培训型培训，以便于培训培训。学生将由USC邻里学术计划提供支持。