Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERver
Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERver
批准号:
8235263
负责人:
Ali Torkamani
金额:
$38.2万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-02-01 至 2015-12-31
关键词:
AddressAlgorithmsAnimal ModelBase SequenceBeliefBindingBioinformaticsBiologicalBiological ProcessCharacteristicsClinicalCodeCollectionCommunitiesCompanionsComplementComplexComputer softwareCustomDNA SequenceDataData SetDatabasesDevelopmentDiagnosisDiseaseDrosophila genusElementsEnhancersFamilial diseaseGenerationsGenesGeneticGenetic ScreeningGenomeGenomicsGenotypeGoalsGroupingHeritabilityHeterogeneityHousingHumanHuman GenomeImageryIndividualInheritedInternetInvestmentsLaboratoriesLightLinkMaintenanceMethodsMicroRNAsModelingMolecularMusMutationOrganismPerformancePhenotypePredispositionProcessProteinsPublic HealthRNA SplicingRegulatory ElementResearchResearch InfrastructureResearch PersonnelTechnologyTranslatingVariantbasecomputerized data processingcostflexibilitygenetic variantgenome sequencinggraspimprovedinterestmRNA Stabilitytooltranscription factoruser-friendly
中文摘要
描述(由申请人提供):测序成本的降低和测序效率的提高正在迅速使高通量测序能够被单个实验室使用,这些实验室希望将测序作为他们研究工作的强大工具。事实上,随着成本的持续下降,我们可以预期高通量测序将成为一种常用的工具,不仅在基于人类表型的测序项目中,而且在模式生物的正向遗传学应用中也是一种有效的工具,并有可能用于特发性疾病的诊断。然而,很少有实验室拥有计算专业知识和基础设施来理解通过这些研究确定的遗传变异。该提案的目标是通过扩展Scripps基因组注释和分布式变异解释服务器(SG-ADVISER)以及配套的数据处理和可视化工具,使高通量测序数据解释与数据生成一样可访问。SG-ADVISER是一个基于web服务器的工具,用于对高通量测序产生的变体进行全面、深入、注释和功能预测。注释至少在四个主要层次上形成:1)对变异所在的基因组元素进行注释;2)预测变异对基因组元件的功能影响;3)注释将基因和/或基因组元件之间的变异联系起来的分子和生物学过程;4)注释已知的基因或变异的临床特征。sg - advisor目前提供的注释涵盖了许多这些级别的注释,但还不完整。因此,我们建议扩展sg - advisor的功能,以涵盖尽可能多的一般有趣的注释类型,同时也将sg - advisor的功能扩展到模拟生物体研究。此外,我们认识到灵活性的需要,并计划通过sg - advisor网络服务器提供定制的注释。最后,我们认为只有通过可视化才能实现真正强大的数据解释
英文摘要
DESCRIPTION (provided by applicant): Reductions in sequencing costs and increases in sequencing efficiency are quickly making high-throughput sequencing accessible to individual laboratories looking to use sequencing as a powerful tool in their research endeavors. In fact, as costs continue to decline, we can expect high-throughput sequencing to become a commonly used tool, not only in human phenotype based sequencing projects, but also as an effective tool in forward genetics applications in model organisms, and potentially for the diagnosis idiopathic disease. However, very few laboratories have the computational expertise and infrastructure to make sense of the genetic variants identified through these studies. The goal of this proposal is to make high-throughput sequencing data interpretation as accessible as data generation through expansion of the Scripps Genome Annotation and Distributed Variant Interpretation SERver (SG-ADVISER) and companion data processing and visualization tools. SG-ADVISER is a web-server based tool for holistic, in-depth, annotations and functional predictions of variants generated from high-throughput sequencing. Annotations are formed on at least four major levels: 1) annotation of the genomic element within which a variant resides; 2) prediction of the functional impact of a variant on a genomic element; 3) annotation of molecular and biological processes which link variants across genes and/or genomic elements with one another, and 4) annotation of known clinical characteristics of the gene or variant. The annotations currently provided by SG-ADVISER cover many of these levels of annotation, but are incomplete. Therefore, we propose to expand the capabilities of SG-ADVISER to cover as many generally interesting annotation types as possible, while also extending SG-ADVISER's capabilities to model organism studies. Moreover, we recognize a need for flexibility, and have included a plan to provide customized annotations through the SG-ADVISER web-server. Finally, we feel that truly powerful data interpretation can only be achieved through visualization
of massive datasets. Therefore, we propose a plan to produce simple companion tools to process, filter, and visualize SG-ADVISER annotations through currently available genome browsers.
PUBLIC HEALTH RELEVANCE: Identification and interpretation of variants associated with inherited but not strongly familial disease is a crucial step in translating the investment in huma genome sequencing efforts into a truly significant impact on public health. Annotation, prioritization and grouping of variants logically will be required to bring enough statistical powe to sequencing studies so that disease causing variants can be identified.
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专著(0)
科研奖励(0)
会议论文
Genotype First: Actionable Genetic Risk through Genotype-to-Phenotype Prediction
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批准号:10631180
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项目类别:
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资助金额:$76.91万
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财政年份:2020
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负责人:Ali Torkamani
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依托单位:
Genotype First: Actionable Genetic Risk through Genotype-to-Phenotype Prediction
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批准号:10404666
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项目类别:
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资助金额:$75.63万
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财政年份:2020
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负责人:Ali Torkamani
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依托单位:
Genotype First: Actionable Genetic Risk through Genotype-to-Phenotype Prediction
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批准号:10245285
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项目类别:
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资助金额:$76.18万
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财政年份:2020
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负责人:Ali Torkamani
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依托单位:
Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERver
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批准号:8603252
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项目类别:
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资助金额:$18.69万
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财政年份:2012
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负责人:Ali Torkamani
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依托单位:
Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERver
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批准号:8416328
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项目类别:
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资助金额:$26.89万
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财政年份:2012
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负责人:Ali Torkamani
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依托单位:
Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERver
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批准号:9135580
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项目类别:
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资助金额:$5.0万
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财政年份:2012
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负责人:Ali Torkamani
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依托单位:
Scripps Genome ADVISER: Annotation and Distributed Variant Interpretation SERver
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批准号:8824547
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项目类别:
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资助金额:$17.7万
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财政年份:2012
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负责人:Ali Torkamani
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依托单位:
海外基金