Prostate Cancer Risk Enhancers
Prostate Cancer Risk Enhancers
批准号:
9031723
负责人:
Gerhard A Coetzee
金额:
$56.49万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-02-23 至 2020-01-31
关键词:
AffectAllelesBindingBinding SitesBioconductorBioinformaticsBiotechnologyCancer EtiologyCellsChromatinClinicalClustered Regularly Interspaced Short Palindromic RepeatsCodeDNADataData SetDevelopmentDiabetes MellitusDiagnosisDiseaseEngineeringEnhancersFreezingFundingGATA1 geneGene ExpressionGene TargetingGenesGenetic Predisposition to DiseaseGenetic RiskGenetic VariationGenetic studyGenomicsGenotypeGenotype-Tissue Expression ProjectGrantHealthHeart DiseasesHousingIn SituIndividualLNCaPLinkLinkage DisequilibriumMalignant NeoplasmsMalignant neoplasm of prostateMeta-AnalysisMolecular ConformationPaperPersonsPopulationPreventionPreventiveProstatePublishingRNAResourcesResponse ElementsRiskSamplingSingle Nucleotide PolymorphismTCF7L2 geneTechniquesTestingThe Cancer Genome AtlasTissue SampleUntranslated RNAWorkbasecancer genomecancer riskcase controldesignfollow-upgenetic associationgenome editinggenome wide association studygenome-wideindexinginsightinterdisciplinary approachnovelrisk varianttargeted treatmenttooltranscription factortranscriptome sequencing
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): This is a revision of a competitive renewal of an existing funded project to identify prostate cancer (PCa) risk enhancers and their target genes. We intend to identify all target genes affected by newly identified enhancers that contain genetic variation at 77 known PCa risk loci. The major `problem' of genome-wide association (GWAS) loci is the lack of mechanistic understanding of how risk alleles function. This is exacerbated by the fact that the vast majority (>90% of PCa risk alleles) resides in non-coding DNA such as enhancers. This application therefore intends to systematically identify target genes of all the newly identified PCa risk enhancers using three independent approaches, formulated here as three specific aims under the auspices of three co-PIs. The three aims are: eQTL (Coetzee) to link SNP genotypes with levels of gene expression genome-wide, CRISPRs (Farnham) to edit enhancers in situ (deletion and allelic replacement) linking them with gene expression and finally 4C (Lu) to match enhancers with potential target genes by chromatin conformation capture. The strength of this plan is that common target genes identified by all three approaches are likely to be functionally significant. Results will elucidate previously unanticipated risk mechanisms and will provide rationale for diagnosis and prevention.
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