Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
批准号:
10653966
负责人:
Peter Castaldi
金额:
$72.22万
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:
未结题
起止时间:
2014-09-01 至 2025-05-31
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
中文摘要
慢性阻塞性肺疾病(COPD)是一种进行性、衰弱性疾病
英文摘要
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.
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DOI:
10.1186/s12931-017-0558-1
发表时间:
2017-04-24
期刊:
Respiratory research
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:
Thorax
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
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
贝叶斯非参数模型用于疾病亚型:应用于肺气肿表型。
DOI:
10.1109/tmi.2016.2608782
发表时间:
2017-01
期刊:
IEEE transactions on medical imaging
影响因子:
10.6
作者:
[Ross JC, Castaldi PJ, Cho MH, Chen J, Chang Y, Dy JG, Silverman EK, Washko GR, Jose Estepar RS]
通讯作者:
Jose Estepar RS
DOI:
10.1038/s41598-023-28156-4
发表时间:
2023-01-24
期刊:
Scientific reports
影响因子:
4.6
作者:
[]
通讯作者:
Peripheral blood microbial signatures in current and former smokers.
当前和前吸烟者中的外周血微生物特征。
DOI:
10.1038/s41598-021-99238-4
发表时间:
2021-10-06
期刊:
Scientific reports
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
共 15 条
Prospective Health Outcomes and Inflammatory Biomarkers Associated with e-Cigarette Use
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批准号:10018099
-
项目类别:
-
资助金额:$50.93万
-
财政年份:2019
-
负责人:Peter Castaldi
-
依托单位:
Prospective Health Outcomes and Inflammatory Biomarkers Associated with e-Cigarette Use
-
批准号:10226191
-
项目类别:
-
资助金额:$51.27万
-
财政年份:2019
-
负责人:Peter Castaldi
-
依托单位:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
-
批准号:8762578
-
项目类别:
-
资助金额:$87.32万
-
财政年份:2014
-
负责人:Peter Castaldi
-
依托单位:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
-
批准号:10471299
-
项目类别:
-
资助金额:$63.4万
-
财政年份:2014
-
负责人:Peter Castaldi
-
依托单位:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
-
批准号:8913766
-
项目类别:
-
资助金额:$86.88万
-
财政年份:2014
-
负责人:Peter Castaldi
-
依托单位:
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL
-
批准号:10298583
-
项目类别:
-
资助金额:$67.63万
-
财政年份:2014
-
负责人:Peter Castaldi
-
依托单位:
Predictive Modeling with Clinical and Genomic Data in COPD
-
批准号:8063638
-
项目类别:
-
资助金额:$12.83万
-
财政年份:2010
-
负责人:Peter Castaldi
-
依托单位:
Predictive Modeling with Clinical and Genomic Data in COPD
-
批准号:8500430
-
项目类别:
-
资助金额:$12.83万
-
财政年份:2010
-
负责人:Peter Castaldi
-
依托单位:
Predictive Modeling with Clinical and Genomic Data in COPD
-
批准号:8668035
-
项目类别:
-
资助金额:$12.83万
-
财政年份:2010
-
负责人:Peter Castaldi
-
依托单位:
Predictive Modeling with Clinical and Genomic Data in COPD
-
批准号:7875053
-
项目类别:
-
资助金额:$12.83万
-
财政年份:2010
-
负责人:Peter Castaldi
-
依托单位:
Predictive Modeling with Clinical and Genomic Data in COPD
-
批准号:8261100
-
项目类别:
-
资助金额:$12.83万
-
财政年份:2010
-
负责人:Peter Castaldi
-
依托单位:
Systematic Review and Meta-Analysis of COPD Genetic Studies
-
批准号:7545112
-
项目类别:
-
资助金额:$7.1万
-
财政年份:2008
-
负责人:Peter Castaldi
-
依托单位:
海外基金