Conte Center for Computational Systems Genomics of Neuropsychiatric Phenotypes

孔特神经精神表型计算系统基因组学中心

• 批准号: 8150571
• 负责人: ANDREY RZHETSKY
• 金额: $ 215万
• 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/8150571
• 关键词: Conte; Center; Computational; Systems; Genomics

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. PUBLIC HEALTH RELEVANCE: We attempt to consolidate in a single modeling framework a number of disparate approaches for analysis of complex neuropsychiatric disorders. The comprehensive modeling approach will produce experimentally testable predictions, a considerable number of which we will be able to validate within the proposed research. We will focus on several phenotypes with major impacts on the health of US populations, such as anxiety, schizophrenia and depression.

描述（由申请人提供）：我们的目标是开发，测试和应用一种全新的计算方法，用于一次分析一种以上的复杂表型，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组新的分析工具，用于推断人类基因组变异，环境因素和一个以上的心理健康表型之间的因果关系，明确利用复杂（多基因）疾病的遗传和环境非独立性。 公共卫生相关性：我们试图在一个单一的建模框架中整合一些不同的方法来分析复杂的神经精神疾病。全面的建模方法将产生实验测试的预测，其中相当多的，我们将能够在拟议的研究验证。我们将重点关注对美国人口健康有重大影响的几种表型，如焦虑症、精神分裂症和抑郁症。