Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
使用综合基因组学来识别和表征肺气肿相关的 eQTL
基本信息
- 批准号:10653966
- 负责人:
- 金额:$ 72.22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-01 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:ACVR1B geneAffectAlternative SplicingAlveolar CellApoptosisBase SequenceBioinformaticsBiological AssayBiologyBloodBlood specimenCell AgingCellsChronic Obstructive Pulmonary DiseaseDataDiseaseDrug TargetingElementsEpithelial CellsFDA approvedFibroblastsGene ExpressionGenesGeneticGenetic DiseasesGenomicsGenotypeGoalsHematological DiseaseHumanHuman GeneticsInflammationInterdisciplinary StudyLeadershipLungMapsMeasuresMethodsMinorityMolecular BiologyPersonsPhasePhenotypePlayProtein IsoformsPulmonary EmphysemaQuantitative Trait LociRNARNA SplicingReporterResearchResearch PriorityResourcesRoleSamplingSpliced GenesStructure of parenchyma of lungTGFB2 geneTechnologyTestingTissue ProcurementsTissuesTrans-Omics for Precision MedicineTransforming Growth Factor Beta 2Translational ResearchVariantVascular Endothelial Cellairway epitheliumcell bankcell typecigarette smokecohortdifferential expressiondisorder riskgenetic variantgenome wide association studygenome-widegenomic locusimprovedlung injurymortalitynanoporenovelprogramspublic health relevancetranscriptome sequencing
项目摘要
Project Summary: Chronic obstructive pulmonary disease (COPD) is a progressive, debilitating disease for
which new, disease-modifying treatments are desperately needed. Since drug targets supported by human
genetic evidence are more likely to lead to FDA-approved treatments, functional characterization of genome-
wide association study (GWAS) loci is a translational research priority. Our group has played a leading role
in COPD GWAS, and the largest COPD GWAS to date has identified 82 significant loci, most of which have
not been functionally characterized. In the first phase of this project, we combined emphysema GWAS results
with expression quantitative trait locus (eQTL) studies, using GWAS-eQTL colocalization methods to identify
COPD GWAS target genes. This approach allowed us to prioritize TGFB2 and ACVR1B for functional studies
in airway epithelial cells and lung fibroblasts that identified functional variants in these loci. However, >50%
of COPD GWAS loci have not yet shown strong colocalization with eQTLs, due in part to inherent limitations
of eQTLs which depend on gene-level expression quantifications that do not reflect effects of alternative
splicing. Alternative splicing is an important functional mechanism for GWAS loci, perhaps equally as
important as eQTLs. In the next phase of this project, we propose to identify novel COPD-associated genetic
variants that alter splicing (sQTLs) and characterize their isoform-specific effects. In Aim 1, we will perform
genome-wide discovery of splicing QTLs (sQTLs) using two RNA-seq resources with large numbers of
subjects with COPD – blood RNA-seq from 4,515 subjects in the COPDGene Study and lung RNA-seq from
1,078 subjects in the Lung Tissue Research Consortium (LTRC). Using colocalization methods, we will
identify novel COPD GWAS target genes whose splicing is altered by COPD-associated genetic variants. In
Aim 2, we will identify differentially expressed and differentially used isoforms in COPD using estimated
isoform quantifications from short read lung tissue RNA-seq in 1,078 COPD cases and controls in the LTRC.
We will then generate Oxford Nanopore Technologies (ONT) long read RNA-seq for 10 COPD GWAS genes
in 80 LTRC subjects with COPD and 80 controls using a targeted enrichment approach. In Aim 3, we will
combine fine mapping and functional studies to identify COPD GWAS variants that alter splicing in primary
lung cells. First, we will use targeted long read RNA-seq to characterize the cell-type specific isoform
profiles of COPD GWAS target genes in four primary lung cell types. We will then functionally validate fine-
mapped COPD GWAS variants using splicing reporter assays, and we will characterize the effects of these
variants on COPD-related cellular phenotypes in airway epithelial cells selected by genotype from the Marsico
Lung Institute cell bank. Our multi-disciplinary research team has the requisite expertise in COPD genetics
and genomics, molecular biology, long read sequencing, splicing and RNA biology to complete this important
project to identify novel COPD GWAS target genes involved in alternative splicing.
项目摘要:慢性阻塞性肺疾病(COPD)是一种进行性,令人衰弱的疾病
迫切需要哪种新的,改善疾病的治疗方法。由于人类支持的药物靶标
遗传证据更有可能导致FDA批准的治疗,基因组的功能表征
广泛的协会研究(GWAS)基因座是转化研究的重点。我们的小组发挥了主导作用
在COPD GWAS和迄今为止最大的COPD GWAS已确定了82个重要地方,其中大多数具有
没有功能表征。在该项目的第一阶段,我们结合了Emphysema GWAS结果
使用GWAS-EQTL共定位方法识别表达定量性状基因座(EQTL)研究
COPD GWAS靶基因。这种方法使我们可以优先考虑TGFB2和ACVR1B进行功能研究
在气道上皮细胞和肺成纤维细胞中,这些基因座的功能变体。但是,> 50%
COPD GWAS基因座的尚未显示出与eqtls强烈共定位,部分归因于继承的局限性
依赖基因级表达量化的eqTL,这些量子不反映替代的影响
剪接。替代剪接是GWAS基因座的重要功能机制,也许等于
重要的是eqtls。在该项目的下一阶段,我们建议确定新型COPD相关的通用
改变剪接(SQTL)并表征其同工型特异性效应的变体。在AIM 1中,我们将表演
使用大量的RNA-Seq资源大量的RNA-seq资源发现剪接QTLS(SQTL)(SQTLS)
COPDGene研究中4,515名受试者的COPD的受试者 - 来自COPDGENE研究的受试者,来自肺RNA-Seq。
肺组织研究联盟(LTRC)中的1,078名受试者。使用共定位方法,我们将
识别新型的COPD GWAS靶基因,其剪接会因COPD相关的遗传变异而改变。在
AIM 2,我们将使用估计
来自1,078例COPD病例的短读肺组织RNA-Seq的同工型定量和LTRC中的对照。
然后,我们将生成牛津纳米孔技术(ONT)长读RNA-Seq,用于10个COPD GWAS基因
在80名LTRC受试者中,具有COPD和80个对照的受试者,使用靶向富集方法。在AIM 3中,我们将
结合精细的映射和功能研究,以鉴定COPD GWAS变体,这些变体改变了主要的剪接
肺部细胞。首先,我们将使用有针对性的长读RNA-seq来表征细胞类型的特异性同工型
在四种主要的肺细胞类型中,COPD GWAS靶基因的概况。然后,我们将在功能上验证Fine-
使用剪接报告基因测定法映射COPD GWAS变体,我们将表征这些效果
来自Marsico的基因型选择的COPD相关细胞表型的变体上皮细胞中的变体
肺部细胞库。我们的多学科研究团队拥有COPD遗传学的必要专业知识
以及基因组学,分子生物学,长读测序,剪接和RNA生物学,以完成这一重要的
项目旨在识别与替代剪接有关的新型COPD GWAS靶基因。
项目成果
期刊论文数量(25)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Network-based analysis reveals novel gene signatures in peripheral blood of patients with chronic obstructive pulmonary disease.
- DOI:10.1186/s12931-017-0558-1
- 发表时间:2017-04-24
- 期刊:
- 影响因子:5.8
- 作者:Obeidat M;Nie Y;Chen V;Shannon CP;Andiappan AK;Lee B;Rotzschke O;Castaldi PJ;Hersh CP;Fishbane N;Ng RT;McManus B;Miller BE;Rennard S;Paré PD;Sin DD
- 通讯作者:Sin DD
Turning subtypes into disease axes to improve prediction of COPD progression.
将亚型转化为疾病轴以改善对慢性阻塞性肺病进展的预测。
- DOI:10.1136/thoraxjnl-2018-213005
- 发表时间:2019
- 期刊:
- 影响因子:10
- 作者:Chen,Junxiang;Cho,Michael;Silverman,EdwinK;Hokanson,JohnE;Kinney,GregL;Crapo,JamesD;Rennard,Stephen;Dy,Jennifer;Castaldi,Peter
- 通讯作者:Castaldi,Peter
Peripheral blood microbial signatures in current and former smokers.
- DOI:10.1038/s41598-021-99238-4
- 发表时间:2021-10-06
- 期刊:
- 影响因子:4.6
- 作者:Morrow JD;Castaldi PJ;Chase RP;Yun JH;Lee S;Liu YY;Hersh CP
- 通讯作者:Hersh CP
Analysis of genetically driven alternative splicing identifies FBXO38 as a novel COPD susceptibility gene.
对基因驱动的选择性剪接的分析将 FBXO38 确定为一种新型 COPD 易感基因。
- DOI:10.1371/journal.pgen.1008229
- 发表时间:2019
- 期刊:
- 影响因子:4.5
- 作者:Saferali,Aabida;Yun,JeongH;Parker,MargaretM;Sakornsakolpat,Phuwanat;Chase,RobertP;Lamb,Andrew;Hobbs,BrianD;Boezen,MarikeH;Dai,Xiangpeng;deJong,Kim;Beaty,TerriH;Wei,Wenyi;Zhou,Xiaobo;Silverman,EdwinK;Cho,MichaelH;Cast
- 通讯作者:Cast
Hepatitis C and HIV detection by blood RNA-sequencing in cohort of smokers.
- DOI:10.1038/s41598-023-28156-4
- 发表时间:2023-01-24
- 期刊:
- 影响因子:4.6
- 作者:
- 通讯作者:
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Peter Castaldi其他文献
Peter Castaldi的其他文献
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{{ truncateString('Peter Castaldi', 18)}}的其他基金
Prospective Health Outcomes and Inflammatory Biomarkers Associated with e-Cigarette Use
与电子烟使用相关的预期健康结果和炎症生物标志物
- 批准号:
10018099 - 财政年份:2019
- 资助金额:
$ 72.22万 - 项目类别:
Prospective Health Outcomes and Inflammatory Biomarkers Associated with e-Cigarette Use
与电子烟使用相关的预期健康结果和炎症生物标志物
- 批准号:
10226191 - 财政年份:2019
- 资助金额:
$ 72.22万 - 项目类别:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
使用综合基因组学来识别和表征肺气肿相关的 eQTL
- 批准号:
8762578 - 财政年份:2014
- 资助金额:
$ 72.22万 - 项目类别:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
使用综合基因组学来识别和表征肺气肿相关的 eQTL
- 批准号:
10471299 - 财政年份:2014
- 资助金额:
$ 72.22万 - 项目类别:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
使用综合基因组学来识别和表征肺气肿相关的 eQTL
- 批准号:
8913766 - 财政年份:2014
- 资助金额:
$ 72.22万 - 项目类别:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
使用综合基因组学来识别和表征肺气肿相关的 eQTL
- 批准号:
10298583 - 财政年份:2014
- 资助金额:
$ 72.22万 - 项目类别:
Predictive Modeling with Clinical and Genomic Data in COPD
利用 COPD 的临床和基因组数据进行预测建模
- 批准号:
8063638 - 财政年份:2010
- 资助金额:
$ 72.22万 - 项目类别:
Predictive Modeling with Clinical and Genomic Data in COPD
利用 COPD 的临床和基因组数据进行预测建模
- 批准号:
8500430 - 财政年份:2010
- 资助金额:
$ 72.22万 - 项目类别:
Predictive Modeling with Clinical and Genomic Data in COPD
利用 COPD 的临床和基因组数据进行预测建模
- 批准号:
8668035 - 财政年份:2010
- 资助金额:
$ 72.22万 - 项目类别:
Predictive Modeling with Clinical and Genomic Data in COPD
利用 COPD 的临床和基因组数据进行预测建模
- 批准号:
7875053 - 财政年份:2010
- 资助金额:
$ 72.22万 - 项目类别:
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