A Community Zebrafish Resource for Modeling GWAS Biology
A Community Zebrafish Resource for Modeling GWAS Biology
批准号:
8840336
负责人:
Wolfram Goessling
金额:
$81.07万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-05-01 至 2018-02-28
关键词:
AllelesAnimal ModelBioinformaticsBiological AssayBiological ModelsBiologyCandidate Disease GeneChemicalsCommunitiesComplementComplexComputer SimulationDataDiseaseEvaluationFoundationsGene Transfer TechniquesGenesGeneticGenetic ModelsGenetic studyGenomeGenotypeHeritabilityHumanHuman GeneticsInstitutionInvestigationMapsMethodsModelingOrganismOrthologous GenePharmaceutical PreparationsPharmacologyPhenotypePhysiologyReagentReporterResearch PersonnelResolutionResourcesSeriesSignal TransductionSystemTechniquesTechnologyTestingTissuesTranslationsUntranslated RNAVariantWhole OrganismZebrafishassay developmentchemical geneticsdesigndisease mechanisms studydisease phenotypedrug discoverygain of functiongene functiongenetic variantgenome wide association studygenome-widehuman diseasein vivo Modelinsightinterestloss of functionmutantnovelnovel markerpublic health relevanceresponsescreeningtooltraittranscription factorzinc finger nuclease
中文摘要
描述(由申请者提供):我们正在提议建立一个社区斑马鱼资源,用于模拟GWA生物学,该资源将利用我们机构在斑马鱼遗传学、生物信息学、斑马鱼分析开发、遗传建模和机械研究方面的现有专业知识。这些研究将为探索常见人类疾病表型背后的基因网络奠定基础,并在斑马鱼中建立高通量生物学,作为在广泛特征上补充GWAs的平台。重要的是,这种方法很容易适应药物反应表型和新出现的特征。具体目标是:目标1--初步可行性评估和化验开发a)生物信息学--对特征进行初步评估,以评估在斑马鱼中建立模型的可行性,并结合生物信息学鉴定真正的同源基因、试剂设计,以及在可能的情况下对候选者进行电子优先排序。此外,我们将专门探索候选因果SNPs(从1000个基因组数据[26,27]中确定)和最新的组织特定ENCODE图谱之间的关系,以定义可能受常见变异影响的转录因子网络[28,29]。B)分析设计-我们将为感兴趣的表型建立具有代表性的定量分析,并使用已知的孟德尔基因调节表型的已知操作,将这些分析固定在现有的人类基因和表型上。目的2-跨多个基因座的候选基因和非编码变异的系统评估-一旦表型分析得到验证,我们将在斑马鱼中测试每个候选基因和调控序列(可以识别直系同源基因)单独和组合对主要性状的影响[30]。将利用现有的突变体、吗啉和瞬时或稳定的转基因技术,对功能丧失和功能等位基因的获得进行定量评估。我们建议每年研究大约15-20个GWA基因座。目标3-为下游发现建立斑马鱼模型--一旦我们确定了每个GWA基因座背后的原因基因,我们将发展出稳定的功能丧失(使用TALEN或锌指核酸酶技术)或获得每个基因的功能等位基因[31-33]。此外,在相关情况下,我们将为后续的遗传或化学筛查产生稳定的报告菌株。这些线路将免费提供给社区,以加快已完成和正在进行的全球气候变化框架的翻译工作。
英文摘要
DESCRIPTION (provided by applicant): We are proposing a Community Zebrafish Resource for Modeling GWAS Biology that will exploit existing expertise within our institutions in zebrafish genetics, bioinformatics, zebrafish assay development, genetic modeling and mechanistic studies. These studies will lay the foundation for exploration of the gene networks underlying common human disease phenotypes, and establish high-throughput biology in the zebrafish as a platform to complement GWAS across a broad range of traits. Importantly, this approach is readily adapted to drug response phenotypes and novel traits as they emerge. The Specific Aims are; Aim 1-Initial feasibility assessment and assay development a) Bioinformatics-An initial evaluation of the traits to assess the feasibility of modeling in the zebrafish combined with bioinformatic identification of true orthologs, reagent design and where possible in silico prioritization of candidates. In addition we will specifically explore the relationships between candidate causal SNPs (identified from 1000 genomes data [26, 27]) and the latest tissue-specific ENCODE maps to define the transcription factor networks that may be impacted by the common variants [28, 29]. b) Assay design-We will build representative and quantitative assays for the phenotypes of interest, and anchor these to existing human genotypes and phenotypes using known manipulations of known Mendelian genes regulating the phenotype. Aim 2-Systematic evaluation of candidate genes and non-coding variants across multiple loci-Once the phenotypic assays have been validated, we will test in the zebrafish each of the candidate genes and regulatory sequences (where the orthologs can be identified) for their effects alone and in combination on the primary trait [30]. Quantitative assessments will be generated for loss of function and gain of function alleles, using existing mutants, morpholinos and transient or stable transgenesis. We propose to study approximately 15-20 GWAS loci per year. Aim 3-Establishing zebrafish models for downstream discovery-Once we have established the causal genes underlying each GWAS locus, we will develop stable loss of function (using TALEN or zinc finger nuclease technology) or gain of function alleles for each gene [31 -33]. In addition, where relevant we will generate stable reporter strains for subsequent genetic or chemical screens. These lines will be made freely available to the community to accelerate the translation of completed and ongoing GWAS.
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