Project 1: Genetic Discovery Within Diverse Ancestry Cohorts
项目 1:不同血统群体中的基因发现
基本信息
- 批准号:10654539
- 负责人:
- 金额:$ 67.53万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-01 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:AccountingAddressAfricanAfrican AmericanAfrican American populationAfrican CaribbeanAgingAllelesAlzheimer&aposs DiseaseAlzheimer&aposs disease modelAlzheimer&aposs disease riskAmericanBiologicalBiological MarkersCaribbean HispanicCellsChromosomesCodeCommunitiesComplexCustomDataData CollectionDisparityEconomicsEnrollmentEpigenetic ProcessEthnic PopulationGenesGeneticGenetic VariationGenomicsGenotypeGoalsHealth PolicyHeritabilityHispanicLatinxLatinx populationLocalized DiseaseMethodsModelingMolecularNeurodegenerative DisordersNot Hispanic or LatinoParticipantPathway AnalysisPathway interactionsPhenotypePopulationPopulation HeterogeneityPublic HealthRegulatory ElementResourcesRiskRisk FactorsSample SizeSamplingSiteStandardizationStatistical Data InterpretationTestingTissuesTrans-Omics for Precision MedicineVariantadjudicationclinical practicecohortdata managementgenetic architecturegenetic risk factorgenetic testinggenetic variantgenome wide association studygenome-widehealth disparityimprovedmulti-ethnicnoveloutreachpredictive modelingracial populationrecruitsocialtranscriptome
项目摘要
PROJECT SUMMARY
The genomics of Alzheimer Disease is complex and evidence to date suggests that different ancestry groups
have distinct genetic factors that influence risk. In this project, we will perform multiple statistical analyses of
generated genetic data in African American, African, and Hispanic/Latinx populations to identify genetic factors
that are distinct within those groups. We will develop and apply new methods for identifying regulatory elements
and leveraging admixed chromosomes that are features of these populations. Finally, we will summarize results
through polygenic and pathway analyses to identify specific molecular mechanisms that harbor genetic variants
influence Alzheimer risk in each of these populations.
项目摘要
阿尔茨海默病的基因组学是复杂的,迄今为止的证据表明,不同的祖先群体
有不同的影响风险的遗传因素。在这个项目中,我们将进行多重统计分析,
在非裔美国人、非洲人和西班牙裔/拉丁裔人群中生成遗传数据,以确定遗传因素
在这些群体中是不同的。我们将开发和应用新的方法来识别调节元件
并利用这些群体的混合染色体。最后,我们将总结结果
通过多基因和途径分析,以确定具有遗传变异的特定分子机制
影响每个人群的阿尔茨海默病风险。
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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William S Bush其他文献
Methylome-wide analysis reveals epigenetic marks associated with resistance to tuberculosis in HIV-infected individuals from East Africa.
全甲基化分析揭示了东非艾滋病毒感染者与结核病抵抗力相关的表观遗传标记。
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:6.4
- 作者:
Catherine M. Stein;Penelope Benchek;J. Bartlett;R. Igo;Rafal S. Sobota;K. Chervenak;Harriet Mayanja;C. F. von Reyn;Timothy Lahey;William S Bush;W. H. Boom;William K. Scott;Carmen J. Marsit;Giorgio Sirugo;Scott M. Williams - 通讯作者:
Scott M. Williams
William S Bush的其他文献
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{{ truncateString('William S Bush', 18)}}的其他基金
Project 1: Genetic Discovery Within Diverse Ancestry Cohorts
项目 1:不同血统群体中的基因发现
- 批准号:
10333060 - 财政年份:2022
- 资助金额:
$ 67.53万 - 项目类别:
Genomic, Epigenomic, and Transcriptomic Mechanisms of Contributing to Alzheimer's Disease Risk in Diverse Ancestral Populations
不同祖先人群中阿尔茨海默病风险的基因组、表观基因组和转录组机制
- 批准号:
10301691 - 财政年份:2021
- 资助金额:
$ 67.53万 - 项目类别:
The Alzheimer's Disease Translational Data Science Training Program
阿尔茨海默病转化数据科学培训计划
- 批准号:
10475653 - 财政年份:2021
- 资助金额:
$ 67.53万 - 项目类别:
The Alzheimer's Disease Translational Data Science Training Program
阿尔茨海默病转化数据科学培训计划
- 批准号:
10686916 - 财政年份:2021
- 资助金额:
$ 67.53万 - 项目类别:
The Alzheimer Disease Sequence Analysis Collaborative
阿尔茨海默病序列分析协作组织
- 批准号:
9788240 - 财政年份:2018
- 资助金额:
$ 67.53万 - 项目类别:
The Alzheimer Disease Sequence Analysis Collaborative
阿尔茨海默病序列分析协作组织
- 批准号:
9661768 - 财政年份:2018
- 资助金额:
$ 67.53万 - 项目类别:
The Alzheimer Disease Sequence Analysis Collaborative
阿尔茨海默病序列分析协作组织
- 批准号:
10000822 - 财政年份:2018
- 资助金额:
$ 67.53万 - 项目类别:
The Alzheimer Disease Sequence Analysis Collaborative
阿尔茨海默病序列分析协作组织
- 批准号:
10242911 - 财政年份:2018
- 资助金额:
$ 67.53万 - 项目类别:
The Alzheimer Disease Sequence Analysis Collaborative
阿尔茨海默病序列分析协作组织
- 批准号:
10474474 - 财政年份:2018
- 资助金额:
$ 67.53万 - 项目类别:
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