Functional Characterization of Glioma GWAS Variants
胶质瘤 GWAS 变异体的功能表征
基本信息
- 批准号:9159686
- 负责人:
- 金额:$ 65.67万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-08-23 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:5p15.339p21.3AllelesAutopsyBiologicalBiological AssayBiologyBrainBrain regionCDKN2A geneCandidate Disease GeneChIP-seqChromatinDataData SetDevelopmentDistalEnhancersEpidermal Growth Factor ReceptorEventExonsFluorescent in Situ HybridizationFreezingFutureGene ExpressionGene Expression ProfilingGene TargetingGenesGenomeGenotypeGenotype-Tissue Expression ProjectGliomaGliomagenesisGoalsGuidelinesHaplotypesHypersensitivityIncidenceInheritedInterventionKnock-outLinkage DisequilibriumLuciferasesMalignant NeoplasmsMapsMeta-AnalysisMethodsMolecularMolecular ConformationNucleic Acid Regulatory SequencesPreventiveQuantitative Trait LociRNARegulatory ElementResearchRiskRoleSamplingSeriesSingle Nucleotide Polymorphism MapSite-Directed MutagenesisSourceSusceptibility GeneTNFRSF6B geneTechnologyTherapeuticTherapeutic InterventionTranslatingUniversitiesValidationVariantbasebrain tissueexperiencegenome editinggenome wide association studygenome-wideglioma cell lineimprovedinsightnovelpromoterrisk variantsuccesstooltranscriptome sequencingvector
项目摘要
PROJECT SUMMARY/ABSTRACT
The goal of the proposed study is to discern the functional and biological relevance of gliomas risk variants
identified through genome wide association studies (GWAS). GWAS have led to the discovery of 8
susceptibility loci in glioma: 8q24.11, 11q23.3, 5p15.33, 9p21.3, 20q13.33, 7p11.2 (2 independent loci) and
3q26.2. None of the GWAS SNPs map to exons and we hypothesize that the associated SNPs are non-
functional, are in linkage disequilibrium with casual/functional SNPs, and map to risk enhancers that in turn
regulate target gene expression in an allele specific manner. To date no functional/causal variants for glioma
GWAS have been identified. However, our team has identified some candidate target genes for 6 of the 8
GWAS loci using expression quantitative trait loci (eQTL) mapping in multiple brain regions and allelic specific
gene expression (ASE) analyses. Based on these promising findings, we propose a comprehensive post
GWAS analysis of glioma risk loci using a series of complementary approaches. In Aim 1 we will identify
candidate target genes of glioma risk loci using data from two sources: publicly available RNA-Seq and
genotyping data from multiple brain regions of 400 post-mortem brains of the Genotype-Tissue Expression
Project's (GTEx); we will also generate RNA-Seq and genotyping data from an additional 300 pathologically
verified, fresh-frozen autopsied normal brain tissues (multiple brain regions) from the University of Miami Brain
Bank (UMBB). eQTL mapping, eQTL meta-analyses and eQTL-ASE will be performed, using the UMBB
samples as the discovery set and GTEx dataset as a validation dataset. In Aim 2 we will use publicly available
ChIP-Seq and DNAse1 hypersensitivity chromatin data to identify candidate regulatory elements within GWAS
loci. We will: (a) validate candidate regulatory elements using enhancer/promoter luciferase vector activity
assays in multiple glioma cell lines. (b) Assess allele specific effects on enhancer/promoter activity using either
site-directed mutagenesis or naturally occurring haplotypes (c). Identify and validate novel candidate target
genes of risk enhancers identified in Aim 1 by knocking out risk enhancers using CRISPR-Cas9 gene editing
technology in glioma cell lines and assessing changes in target gene expression using RNA-Seq. In Aim 3 we
will use existing data and novel data generated through Aims 1 and 2, to identify and validate the physical
interaction between risk enhancers and candidate target genes. Interacting loci of candidate risk enhancers will
be identified using 4C-Seq using five glioma cell lines, and will be compared to candidate target genes
identified through Aims 1 and Aim 2. Any significant interactions, especially those with candidate local and
distal target genes identified through Aims 1 and 2 will be further validated by 3C and fluorescent in situ
hybridization (FISH). Through these efforts we will develop a mechanistic and biological understanding of
glioma risk that will be an essential first step in our translational efforts to develop preventive therapeutics
approaches for glioma.
项目摘要/摘要
拟议的研究的目的是辨别神经胶质瘤风险变体的功能和生物学相关性
通过基因组广泛的关联研究(GWAS)确定。 GWAS导致发现了8
神经胶质瘤中的敏感位点:8Q24.11,11q23.3,5p15.33,9p21.3,20q13.33,7p11.2(2个独立基因座)和
3Q26.2。 GWAS SNP映射没有到外显子,我们假设相关的SNP是非 -
功能性,与休闲/功能性SNP处于连锁不平衡,并将其映射到风险增强器中
以特定于等位基因的方式调节靶基因表达。迄今为止,没有用于神经胶质瘤的功能/因果变异
已经确定了GWAS。但是,我们的团队已经确定了8个候选目标基因
GWAS基因座使用表达定量性状基因座(EQTL)映射在多个大脑区域和等位基因特定区域
基因表达(ASE)分析。基于这些有希望的发现,我们提出了一个全面的帖子
GWAS分析神经胶质瘤的风险基因座使用一系列补充方法。在目标1中,我们将确定
使用来自两个来源的数据,可神经胶质瘤的候选靶基因风险基因座:公开可用的RNA-Seq和
来自400个基因型 - 组织表达的400个验尸大脑的多个大脑区域的基因分型数据
项目(GTEX);我们还将从300个病理上生成RNA-seq和基因分型数据
经过验证的,新鲜的液体尸检正常脑组织(多个大脑区域)来自迈阿密大学的大脑
银行(UMBB)。将使用UMBB执行EQTL映射,EQTL荟萃分析和eqtl-ase
示例作为发现集,将GTEX数据集作为验证数据集。在AIM 2中,我们将使用公开可用
CHIP-SEQ和DNASE1高敏性染色质数据,以识别GWAS中的候选调节元素
基因座。我们将:(a)使用增强子/启动子荧光素酶矢量活性验证候选调节元件
多神经胶质瘤细胞系的测定。 (b)使用任何一个评估对增强子/启动子活动的特定影响
位置定向的诱变或天然发生的单倍型(C)。识别和验证新型候选目标
AIM 1中确定的风险增强基因通过使用CRISPR-CAS9基因编辑淘汰风险增强子来确定的风险增强基因
神经胶质瘤细胞系中的技术并使用RNA-Seq评估靶基因表达的变化。在目标3中我们
将使用AIM 1和2生成的现有数据和新数据,以识别和验证物理
风险增强子与候选靶基因之间的相互作用。候选风险增强者的互动基因座将
使用五个神经胶质瘤细胞系使用4C-SEQ鉴定,并将与候选靶基因进行比较
通过目标1和目标2确定。任何重大互动,尤其是那些与候选人本地和
通过目标1和2鉴定的远端靶基因将通过3C进一步验证3C和原位荧光
杂交(鱼)。通过这些努力,我们将对
胶质瘤风险将是我们转化努力开发预防性治疗的重要第一步
神经胶质瘤的方法。
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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GRAHAM CASEY其他文献
GRAHAM CASEY的其他文献
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{{ truncateString('GRAHAM CASEY', 18)}}的其他基金
Functional Characterization of Glioma GWAS Variants
胶质瘤 GWAS 变异体的功能表征
- 批准号:
9336270 - 财政年份:2016
- 资助金额:
$ 65.67万 - 项目类别:
Functional Characterization of Glioma GWAS Variants
胶质瘤 GWAS 变异体的功能表征
- 批准号:
9743742 - 财政年份:2016
- 资助金额:
$ 65.67万 - 项目类别:
Using functional genomics to inform gene environment interactions for colorectal cancer
使用功能基因组学来了解结直肠癌的基因环境相互作用
- 批准号:
9763541 - 财政年份:2016
- 资助金额:
$ 65.67万 - 项目类别:
Using functional genomics to inform gene environment interactions for colorectal cancer
使用功能基因组学来了解结直肠癌的基因环境相互作用
- 批准号:
9174797 - 财政年份:2016
- 资助金额:
$ 65.67万 - 项目类别:
Using functional genomics to inform gene environment interactions for colorectal cancer
使用功能基因组学来了解结直肠癌的基因环境相互作用
- 批准号:
9357531 - 财政年份:2016
- 资助金额:
$ 65.67万 - 项目类别:
Inherited colorectal cancer risk variants: from association to biology
遗传性结直肠癌风险变异:从关联到生物学
- 批准号:
9922218 - 财政年份:2010
- 资助金额:
$ 65.67万 - 项目类别:
Inherited colorectal cancer risk variants: from association to biology
遗传性结直肠癌风险变异:从关联到生物学
- 批准号:
9414978 - 财政年份:2010
- 资助金额:
$ 65.67万 - 项目类别:
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