Integrating genomics and metabolomics data to identify molecular characteristics of Gulf War Veterans' illnesses
整合基因组学和代谢组学数据来识别海湾战争退伍军人疾病的分子特征
基本信息
- 批准号:10486532
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-01-01 至 2026-12-31
- 项目状态:未结题
- 来源:
- 关键词:AffectAwardBiologicalBiological AssayBiological MarkersBiomedical TechnologyBloodCharacteristicsChronicClinicClinical TrialsCommunitiesComplementComplexDNA Modification ProcessDataData SetDatabasesDevelopmentDiagnosisDiseaseDistressEpigenetic ProcessEtiologyExanthemaFatigueGenesGeneticGenetic MarkersGenetic VariationGenomeGenomicsGenotypeGoalsGulf WarGulf War veteranHeadacheHealthIndividualInflammationLaboratoriesLifeLipidsMachine LearningMeasuresMedicalMetabolicMetabolic PathwayMethodsMethylationModernizationMolecularNeurocognitivePainParticipantPathway interactionsPatientsPersian GulfPersian Gulf SyndromePhenotypePhysiologicalPreparationQuality ControlResearchResearch PersonnelResearch Project GrantsResearch ProposalsResourcesSample SizeScienceSubgroupSurveysSymptomsSystems BiologyTechniquesTestingTherapeutic ResearchTherapeutic TrialsTissuesTreatment EfficacyUncertaintyValidationVeteransWorkaffective disturbanceanalytical toolbiobankbiological systemsbiomarker discoverybiomarker identificationbiomarker validationcohortcomorbiditydata integrationdata repositorydesigneffective therapyepidemiology studyexperienceexperimental studygastrointestinalgenetic variantgenome wide association studygenome-wideimmune functioninstrumentliquid chromatography mass spectrometrymachine learning methodmedical complicationmetabolomemetabolomicsmitochondrial dysfunctionpersistent symptomprogramsresearch and developmentresponsesmall moleculesymptom cluster
项目摘要
Gulf War Illness (GWI) is a chronic, debilitating illness suffered by Veterans of the first Gulf War. Patients
suffering from GWI are often subject to years of medical uncertainty as they make their way through multiple
clinics to try to diagnose and ultimately treat their chronic symptoms, if possible. Complicating this medical
journey is the absence of biomarkers that can be used to diagnose the conditions and that might provide clues
as to treatments and etiology. A recent review of the evidence for biomarkers in GWI concluded that there
were no validated biomarkers for GWI. The lack of biomarkers is accompanied by a lack of treatments
demonstrated to work in a large number of Veterans. Epidemiologic studies have been successful in identifying
associations with exposures common to serving in the Gulf War through development of large cohorts of Gulf
War Veterans. Biomarker studies in small numbers of Gulf War Veterans have identified biomarkers for testing.
Among the most fruitful of these are studies of metabolomics, the analysis of all small molecules in blood or
tissue measured by specialized instruments capable of detecting very small quantities of metabolites and then
comparing them to known compounds. We will test a comprehensive set of metabolites assayed by the
Metabolon metabolomics platform covering over 60 metabolic pathways in over 1000 Veterans in the Gulf War
Era Cohort and Biorepository (GWECB), collected and made available to researchers by the VA Office of
Research and Development Gulf War Program. The metabolomics dataset will join data from other assays in
GWECB designed to interrogate other biological systems. Genome-wide genotyping tests how up to 1 million
genetic variants across the genome contribute to differences in Veterans with Gulf War Illness versus those
without. Likewise, genome-wide epigenetic assays test how up to 800,000 DNA modifications contribute
different levels of activity of genes across the genome. Putting these three modern biomedical technologies
together provides a comprehensive view of physiological differences in individuals. In combining these data
we hope to identify biological pathways that distinguish GWI Veterans and suggest treatments and biomarkers.
We also will analyze these combined datasets to test whether smaller clusters of symptoms that make up GWI
can identify specific subtypes of GWI related to the pathways we find. These data will be returned to the
GWECB data repository so that it can be made available to the Gulf War research community for additional
research.
海湾战争病(GWI)是第一次海湾战争的退伍军人所患的一种慢性、使人衰弱的疾病。患者
患有GWI的人往往会经历多年的医疗不确定性,因为他们经历了多个
如果可能的话,诊所试图诊断并最终治疗他们的慢性症状。使这次体检变得复杂
旅程是缺乏生物标志物,可用于诊断条件,并可能提供线索
关于治疗和病因学。最近对GWI生物标志物证据的审查得出结论,
没有经过验证的GWI生物标志物。生物标志物的缺乏伴随着治疗方法的缺乏
证明了在大量的退伍军人中工作。流行病学研究已经成功地确定了
与海湾战争中服役的常见暴露的联系,通过发展海湾战争中的大部队,
退伍军人。对少数海湾战争退伍军人的生物标志物研究已经确定了用于测试的生物标志物。
其中最富有成果的是代谢组学的研究,即分析血液或血液中的所有小分子。
通过能够检测非常少量的代谢物的专用仪器测量组织,然后
与已知化合物进行比较。我们将测试一套全面的代谢物测定的
Metabolon代谢组学平台涵盖海湾战争中1000多名退伍军人的60多种代谢途径
时代队列和生物储存库(GWECB),由VA办公室收集并提供给研究人员。
海湾战争研究与发展计划。代谢组学数据集将结合来自其他分析的数据,
GWECB被设计用来询问其他生物系统。全基因组基因分型测试如何高达100万
基因组中的遗传变异导致了海湾战争疾病退伍军人与
没有.同样,全基因组表观遗传分析测试了多达80万个DNA修饰是如何影响
基因组中不同水平的基因活动。把这三种现代生物医学技术
一起提供了一个全面的看法,在个人的生理差异。把这些数据结合起来
我们希望找出区分GWI退伍军人的生物学途径,并提出治疗方法和生物标志物。
我们还将分析这些组合数据集,以测试组成GWI的较小症状群是否
可以识别与我们发现的途径相关的GWI的特定亚型。这些数据将返回到
GWECB数据储存库,以便可以向海湾战争研究界提供更多信息,
research.
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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Elizabeth R Hauser其他文献
Elizabeth R Hauser的其他文献
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{{ truncateString('Elizabeth R Hauser', 18)}}的其他基金
Building Data Science Tools for Genetic Models of Colorectal Cancer Progression and Risk
为结直肠癌进展和风险的遗传模型构建数据科学工具
- 批准号:
10368281 - 财政年份:2022
- 资助金额:
-- - 项目类别:
GENECARD-Gene Identification in Early-Onset CAD
GENECARD-早发 CAD 中的基因识别
- 批准号:
6861104 - 财政年份:2003
- 资助金额:
-- - 项目类别:
GENECARD-Gene Identification in Early-Onset CAD
GENECARD-早发 CAD 中的基因识别
- 批准号:
7053316 - 财政年份:2003
- 资助金额:
-- - 项目类别:
GENECARD-Gene Identification in Early-Onset CAD
GENECARD-早发 CAD 中的基因识别
- 批准号:
7245060 - 财政年份:2003
- 资助金额:
-- - 项目类别:
GENECARD-Gene Identification in Early-Onset CAD
GENECARD-早发 CAD 中的基因识别
- 批准号:
6601396 - 财政年份:2003
- 资助金额:
-- - 项目类别:
GENECARD-Gene Identification in Early-Onset CAD
GENECARD-早发 CAD 中的基因识别
- 批准号:
6728299 - 财政年份:2003
- 资助金额:
-- - 项目类别:
software for Integrated Linkage and Association Analysis
综合连锁和关联分析软件
- 批准号:
7022977 - 财政年份:2000
- 资助金额:
-- - 项目类别:
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