Conte Center for Computational System G enomics of Neuropsychiatric Phenotypes

孔特神经精神表型计算系统基因组学中心

• 批准号: 8803087
• 负责人: ANDREY RZHETSKY
• 金额: $ 10万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-22 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8803087
• 关键词: Adverse effects; Adverse event; Affect; Algorithms; Anxiety; Biological; Chromosome Mapping; Clinical; Communities; Complement; Complex; Computing Methodologies; Data; Databases; Diagnostic tests; Disease; Drug usage; Elements; Environmental Exposure; Environmental Risk Factor; Failure; Genes; Genetic; Genomics; Goals; Health; Human; Link; Literature; Maps; Mental Depression; Mental Health; Methods; Mining; Modeling; Molecular; Molecular Probes; Neurologic; Pathway interactions; Pattern; Pharmaceutical Preparations; Pharmacology; Phenotype; Physicians; Population; Proteins; Publishing; Research; Schizophrenia; Science; Symptoms; System; Testing; Time; Variant; analytical tool; design; disorder risk; gene environment interaction; genetic association; multiple drug use; neuropsychiatry; novel; population based; response; success; text searching

DESCRIPTION (provided by applicant): We aim to develop, test, and apply a drastically new computational methodology for the analysis of more than one complex phenotype at a time, with the goal of generating novel biological results. Specifically, we propose to design and validate a battery of novel analytical tools for the inference of causal relationships among human genomic variations, environmental factors, and more than one mental health phenotype, explicitly exploiting the genetic and environmental non-independence of complex (multigenic) disorders.

描述（由申请人提供）：我们旨在开发，测试和应用一种新的新计算方法，一次分析多种复杂的表型，目的是产生新的生物学结果。具体而言，我们建议设计和验证一系列新型的分析工具，以推断人类基因组变异，环境因素和多种心理健康表型之间的因果关系，从而明确利用了复杂（多基因）疾病的遗传和环境非依赖性。