Data Integration and Disease Risk Modeling in the Context of Molecular Networks
分子网络背景下的数据集成和疾病风险建模
基本信息
- 批准号:8935615
- 负责人:
- 金额:$ 20.17万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:AccountingAffectArchitectureAutistic DisorderBindingBiologicalBiological AssayBipolar DisorderCatalogingCatalogsCharacteristicsChicagoClinicalComplexComputer softwareDNADataDatabasesDevelopmentDiseaseDrug PrescriptionsEnvironmental Risk FactorFrequenciesGene ExpressionGene ProteinsGenesGeneticGenetic PolymorphismGenetic RecombinationGenomicsGenotypeHumanHuman GenomeInformation NetworksInstructionInternetKnowledgeLearningLocationMental DepressionMetabolicMethylationModelingMolecularMolecular BiologyMolecular ProfilingPathway interactionsPhenotypePopulation CharacteristicsProcessProteinsQuality ControlResearchRiskSchizophreniaSingle Nucleotide PolymorphismStatistical AlgorithmStatistical MethodsSystemTechnologyTreatment outcomeUniversitiesVariantbasecomparative genomic hybridizationdata acquisitiondata integrationdata miningdisorder riskgenetic variantgenome annotationgenome-widehigh throughput technologyhuman diseasemathematical modelneuropsychiatrynovel
项目摘要
Advances-in molecular biology that have enabled the development of high throughput technologies for
assaying gene expression, very large numbers of single nucleotide polymorphisms (SNPs), proteins,
metabolic profiles etc. have revolutionized our ability to understand the biological basis of complex human
disorders. As a consequence, we have now developed gene expression profiles that can predict treatment
outcomes, and identified SNPs that are reproducibly associated with complex human diseases, findings that
had previously been all but intractable. But it is difficult to be satisfied with the progress we have made when
there is still so much that we do not know or understand about how common disorders arise and develop.
We believe that we can learn much more from the systematic organization of the totality of the information
developed through genome-wide interrogation of gene expression and DNA polymorphism than we have yet
appreciated. Thus we propose to focus our expertise in statistical methods and algorithms for mining the
data generated from genome-wide platforms toward a better understanding of the molecular architecture of
psychiatric phenotypes. We will achieve this through a dynamic process of data acquisition, integration,
phenotype deconstruction, and the development of a database, software and associated web browser that
should provide the next logical step in merging the information that has started to become available from
large throughput genotyping , sequencing, comparative genomic hybridization, and expression technology.
The database will contain detailed annotation of all known genetic variants (including general information on
location, conservation and local recombination rates, population characteristics such as frequency and
evidence for selection, as well as association data on clinical and expression phenotypes), and of all genes
(including general characteristics of location and variants within, information on pathways associated to the
gene, as well as known SNPs and phenotypes associated with the gene). This project will build on an
existing effort at University of Chicago called SCAN (SNP and CNV Annotation Network, www.scandb.org).
分子生物学的进步使高通量技术的发展成为可能
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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Nancy J Cox其他文献
Reaching for the next branch on the biobank tree of knowledge
伸手去够生物银行知识之树上的下一个分支
- DOI:
10.1038/ng.3946 - 发表时间:
2017-09-01 - 期刊:
- 影响因子:29.000
- 作者:
Nancy J Cox - 通讯作者:
Nancy J Cox
Nancy J Cox的其他文献
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{{ truncateString('Nancy J Cox', 18)}}的其他基金
FIGOR: Fellowship In Genomics Outcomes Research
FigOR:基因组结果研究奖学金
- 批准号:
10628304 - 财政年份:2023
- 资助金额:
$ 20.17万 - 项目类别:
Training Program on Genetic Variation and Human Phenotypes
遗传变异和人类表型培训计划
- 批准号:
10420390 - 财政年份:2022
- 资助金额:
$ 20.17万 - 项目类别:
Training Program on Genetic Variation and Human Phenotypes
遗传变异和人类表型培训计划
- 批准号:
10651837 - 财政年份:2022
- 资助金额:
$ 20.17万 - 项目类别:
Polygenic risk scores and health disparities: the role of blood cells immune response and evolutionary adaptation
多基因风险评分和健康差异:血细胞免疫反应和进化适应的作用
- 批准号:
10212768 - 财政年份:2021
- 资助金额:
$ 20.17万 - 项目类别:
Southeast Collaborative for Innovative and Equitable Solutions to Chronic Disease Disparities
东南合作以创新和公平的方式解决慢性病差异
- 批准号:
10891968 - 财政年份:2021
- 资助金额:
$ 20.17万 - 项目类别:
Polygenic risk scores and health disparities: the role of blood cells immune response and evolutionary adaptation
多基因风险评分和健康差异:血细胞免疫反应和进化适应的作用
- 批准号:
10424445 - 财政年份:2021
- 资助金额:
$ 20.17万 - 项目类别:
Southeast Collaborative for Innovative and Equitable Solutions to Chronic Disease Disparities
东南合作以创新和公平的方式解决慢性病差异
- 批准号:
10437309 - 财政年份:2021
- 资助金额:
$ 20.17万 - 项目类别:
Southeast Collaborative for Innovative and Equitable Solutions to Chronic Disease Disparities
东南合作以创新和公平的方式解决慢性病差异
- 批准号:
10657748 - 财政年份:2021
- 资助金额:
$ 20.17万 - 项目类别:
Southeast Collaborative for Innovative and Equitable Solutions to Chronic Disease Disparities
东南合作以创新和公平的方式解决慢性病差异
- 批准号:
10494158 - 财政年份:2021
- 资助金额:
$ 20.17万 - 项目类别:
Polygenic risk scores and health disparities: the role of blood cells immune response and evolutionary adaptation
多基因风险评分和健康差异:血细胞免疫反应和进化适应的作用
- 批准号:
10613573 - 财政年份:2021
- 资助金额:
$ 20.17万 - 项目类别:
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