Analysis of Genetic-Environment Networks in Spondyloarthritis
脊柱关节炎的遗传-环境网络分析
基本信息
- 批准号:7596633
- 负责人:
- 金额:$ 4.72万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:AddressAdoptedAnkylosing spondylitisArchitectureCatalogingCatalogsComplexComputational algorithmDataData AnalysesDetectionDevelopmentDiseaseEnsureEnvironmentEnvironmental Risk FactorEvaluation MethodologyFacility Construction Funding CategoryGenesGeneticGenomeGenotypeGoalsHaplotypesIndividualJointsMethodsPharmaceutical PreparationsPhenotypePopulation HeterogeneitySignificance LevelStatistical MethodsStructureSystemTechniquesTestingVariantgene interactiongenetic analysisgenome wide association studygenotyping technologynetwork modelsnovelresponsestatisticstooltrait
项目摘要
Most phenotypic variations, including those involved in complex diseases such as ankylosing spondylitis
(AS) and differences in drug response, are generated by integrated actions of multiple genetic and
environmental factors. Existing methods may provide tools for analysis, but with the imminent completion of
the HapMap Project providing a comprehensive catalogue of millions of SNPs and haplotypes across diverse
populations and rapid development of high throughput genotyping technologies, a paradigm shift for genetic
studies of complex traits from individual marker analysis to genome-wide association studies and systemslevel
analysis is indispensable. Genome-wide association studies and systems-level analysis for complex
diseases raise great challenges in three aspects. First, it is practically impossible to ensure a genome-wide
significance level of 0.05 for testing millions of SNPs using traditional statistic methods. Second, most
phenotypic variations are generated by integrated actions of multiple genetic and environmental factors
through complex interactions between genes, and between gene and environments. Detecting interactions
among genes or SNP markers is a daunting task. Third, most existing analytic methods analyze each marker
(or haplotype) and phenotype individually, and do not consider network structures among multiple
phenotypes and multiple markers. Therefore, new techniques need to be proposed to address these
challenging tasks. The overall goal of this project is (1) to develop nonlinear statistics for genome-wide
association studies for ensuring genome-wide significance levels, (2) to develop novel statistical methods for
detection of gene interaction and efficient computational algorithms for construction of genetic interaction
networks, (3) to develop a conceptual framework for network modeling of multiple phenotypes, and (4) to
develop or adopt novel statistical methods for joint analysis of multiple phenotypes and multiple markers. AS
is a complex disease. Genotype and phenotype data from projects 1-3 for dissecting complex genetic
architecture of AS will be used for development and evaluation of methodology, and real data analysis.
大多数表型变异,包括与强直性脊柱炎等复杂疾病有关的变异
(AS)和药物反应的差异,是由多个基因和
环境因素。现有的方法可能会提供分析工具,但随着即将完成的
HapMap项目提供了来自不同领域的数百万个SNP和单倍型的综合目录
种群和高通量基因分型技术的快速发展,基因的范式转变
从个体标记分析到全基因组关联和系统水平的复杂性状研究
分析是不可或缺的。复合体的全基因组关联研究和系统水平分析
疾病在三个方面提出了巨大的挑战。首先,几乎不可能确保全基因组的
用传统统计方法检测数百万个SNPs的显著性水平为0.05。第二,最多
表型变异是多种遗传和环境因素综合作用的结果
通过基因之间以及基因和环境之间的复杂相互作用。检测交互
在基因或SNP标记之间进行选择是一项艰巨的任务。第三,现有的大多数分析方法对每个标记进行分析
(或单倍型)和表型,并且不考虑多个
表型和多个标记。因此,需要提出新的技术来解决这些问题
具有挑战性的任务。该项目的总体目标是(1)开发全基因组的非线性统计
确保全基因组显著水平的关联研究,(2)开发新的统计方法
基因互作检测及构建遗传互作的高效计算算法
网络,(3)开发用于多种表型的网络建模的概念框架,以及(4)
开发或采用新的统计方法,用于多表型和多标记的联合分析。AS
是一种复杂的疾病。解剖复杂基因的项目1-3中的基因和表型数据
AS的架构将用于方法的开发和评估,以及实际数据分析。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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MOMIAO XIONG其他文献
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{{ truncateString('MOMIAO XIONG', 18)}}的其他基金
Unified Statistical Methods for Sequence-Based Association Studies
基于序列的关联研究的统一统计方法
- 批准号:
8642198 - 财政年份:2013
- 资助金额:
$ 4.72万 - 项目类别:
Unified Statistical Methods for Sequence-Based Association Studies
基于序列的关联研究的统一统计方法
- 批准号:
8430847 - 财政年份:2013
- 资助金额:
$ 4.72万 - 项目类别:
Statistical Methods for Finding Missing Heritability
寻找缺失遗传力的统计方法
- 批准号:
8597452 - 财政年份:2011
- 资助金额:
$ 4.72万 - 项目类别:
Statistical Methods for Finding Missing Heritability
寻找缺失遗传力的统计方法
- 批准号:
8025917 - 财政年份:2011
- 资助金额:
$ 4.72万 - 项目类别:
Statistical Methods for Finding Missing Heritability
寻找缺失遗传力的统计方法
- 批准号:
8397672 - 财政年份:2011
- 资助金额:
$ 4.72万 - 项目类别:
Statistical Methods for Finding Missing Heritability
寻找缺失遗传力的统计方法
- 批准号:
8212023 - 财政年份:2011
- 资助金额:
$ 4.72万 - 项目类别:
Network Approach to GWA Studies of Rheumatoid Arthritis (RA), Ankylosing Spondyli
类风湿关节炎 (RA)、强直性脊柱 GWA 研究的网络方法
- 批准号:
7643737 - 财政年份:2009
- 资助金额:
$ 4.72万 - 项目类别:
Network Approach to GWA Studies of Rheumatoid Arthritis (RA), Ankylosing Spondyli
类风湿关节炎 (RA)、强直性脊柱 GWA 研究的网络方法
- 批准号:
7927154 - 财政年份:2009
- 资助金额:
$ 4.72万 - 项目类别:
Analysis of Genetic-Enviornmental Networks in Spondlyoarthritis
脊柱关节炎的遗传-环境网络分析
- 批准号:
7504079 - 财政年份:2007
- 资助金额:
$ 4.72万 - 项目类别:
Analysis of Genetic-Environment Networks in Spondyloarthritis
脊柱关节炎的遗传-环境网络分析
- 批准号:
7192373 - 财政年份:2006
- 资助金额:
$ 4.72万 - 项目类别:
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