Precision Medicine for All of Us Researchers Collective Medicina de Precision: Colectivo de Investigadores Salud para Todos
为我们所有研究人员提供的精准医学 Collective Medicina de Precision: Colectivo de Investigadores Salud para Todos
基本信息
- 批准号:10891233
- 负责人:
- 金额:$ 100.26万
- 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:2023-09-15 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AccelerationAchievementAddressAll of Us Research ProgramAreaArizonaAutomobile DrivingAwarenessBiomedical ResearchCommunitiesCoupledDataData SetDecision MakingDedicationsDevelopmentEcosystemEnsureEquityFundingGenerationsGrantHispanic-serving InstitutionIncentivesInformaticsInstitutionInvestmentsMentorsParticipantPeer ReviewPharmacogenomicsPositioning AttributePublicationsRecommendationResearchResearch PersonnelResearch Project GrantsResourcesTrainingUnderrepresented PopulationsUniversitiesWorkbiomedical informaticscareercloud basedcommunity based participatory researchdata standardseducation resourcesempowermentexperienceflexibilityhealth equityinnovationinterestliteracyoutreachprecision medicineprogramsrecruitresearch and developmentscientific organizationsuccess
项目摘要
Abstract
The All of Us Research Program (AoU) has created a national research dataset unprecedented in
size, diversity, and scope to advance precision medicine. However, data utilization is not yet
commensurate with the power and potential impact, and researchers utilizing the dataset are not
yet representative of communities historically underrepresented in biomedical research (UBR).
The AoU's innovative cloud-based, centralized data governance requires broad professional
development training for researchers, with a focus on informatics literacy and technical resources
to support analysis within the AoU Researcher Workbench (AoURW). The University of Arizona
(UArizona)-Banner AoU team will address this challenge through four Aims derived from our
extensive experience leading interdisciplinary scientific teams to utilize AoURW and creating
programs to engage researchers from UBR communities. Aim 1: Establish an AoU Data Fellows
program to train and mentor researchers from UBR communities in leveraging the AoURW. Data
Fellows will subsequently engage in outreach within their own networks to encourage AoUfocused research projects and awareness. Aim 2: Advance and manage a biomedical informatics
core dedicated to equipping UBR and nontraditional researchers to conduct research in the
AoURW. Aim 3: Incentivize AoURW research through high priority driver projects and seed
grants with a focus on UBR and early-career investigators and health equity research. Aim 4: Form
an Advisory Council (AC) to oversee Aims 1-3 and create partnerships with scientific
organizations to engage researchers and scale initiatives nationally. Aims 1-4 will cultivate an
active, diverse, and sustainable pool of AoU-focused researchers empowered by our resources and
AoURW’s directive to advance precision medicine for the benefit of all communities. We will
engage researchers from UBR communities to utilize the AoURW using active engagement
strategies based on the principles of community based participatory research and research capacity
building, while maintaining the flexibility to work with existing AoU partners and extend AoU
resources. Our UArizona-Banner AoU team will assess the impact of our activities, disseminate
promising practices to the broader scientific community, evaluate our initiatives against AoU
programmatic objectives, and ensure that our researchers’ perspectives inform AoURW
development—driving AoU further toward an inclusive ecosystem and an equitable platform.
摘要
我们所有的研究计划(AoU)创建了一个前所未有的国家研究数据集,
规模、多样性和范围,以推进精准医疗。然而,数据利用率尚未
与力量和潜在影响相称,研究人员利用数据集,
然而,在生物医学研究(UBR)历史上代表性不足的社区的代表。
AoU创新的基于云的集中式数据治理需要广泛的专业知识,
研究人员的发展培训,重点是信息学知识和技术资源
支持AoU研究员联盟(AoURW)内的分析。亚利桑那大学
(UArizona)-Banner AoU团队将通过我们的四个目标来应对这一挑战。
领导跨学科科学团队利用AoURW并创建
计划吸引来自UBR社区的研究人员。目标1:建立AoU数据研究员
该计划旨在培训和指导UBR社区的研究人员利用AoURW。数据
研究员随后将在自己的网络内开展外联活动,以鼓励AoU重点研究项目和意识。目标2:推进和管理生物医学信息学
核心致力于装备UBR和非传统的研究人员进行研究,
AoURW。目标3:通过高优先级驱动项目和种子激励AoURW研究
赠款重点是UBR和早期职业调查人员和健康公平研究。目标4:形式
一个咨询理事会,负责监督目标1-3,并与科学界建立伙伴关系;
组织让研究人员参与并在全国范围内扩大倡议。目标1-4将培养
活跃,多样化和可持续的AoU研究人员库,由我们的资源授权,
AoURW的指令是为了所有社区的利益而推进精准医学。我们将
让UBR社区的研究人员积极参与,利用AoURW
基于社区参与性研究和研究能力原则的战略
构建,同时保持与现有AoU合作伙伴合作并扩展AoU的灵活性
资源我们的UArizona-Banner AoU团队将评估我们活动的影响,
向更广泛的科学界介绍有前途的做法,评估我们对AoU的倡议
计划目标,并确保我们的研究人员的观点告知AoURW
发展驱动AoU进一步走向包容性生态系统和公平平台。
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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Jason Hansen Karnes其他文献
Jason Hansen Karnes的其他文献
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{{ truncateString('Jason Hansen Karnes', 18)}}的其他基金
Discovery of Immunogenomic Associations with Disease and Differential Risk Across Diverse Populations
发现免疫基因组与不同人群的疾病和差异风险的关联
- 批准号:
10796657 - 财政年份:2023
- 资助金额:
$ 100.26万 - 项目类别:
Leveraging the Microbiome, Local Admixture, and Machine Learning to Optimize Anticoagulant Pharmacogenomics in Medically Underserved Patients
利用微生物组、局部混合物和机器学习来优化医疗服务不足的患者的抗凝药物基因组学
- 批准号:
10656719 - 财政年份:2022
- 资助金额:
$ 100.26万 - 项目类别:
ABO and Immunogenetic Variation in the Pathogenesis of Heparin-Induced Thrombocytopenia
肝素诱导的血小板减少症发病机制中的 ABO 和免疫遗传学变异
- 批准号:
10653005 - 财政年份:2022
- 资助金额:
$ 100.26万 - 项目类别:
ABO and Immunogenetic Variation in the Pathogenesis of Heparin-Induced Thrombocytopenia
肝素诱导的血小板减少症发病机制中的 ABO 和免疫遗传学变异
- 批准号:
10439313 - 财政年份:2022
- 资助金额:
$ 100.26万 - 项目类别:
Leveraging the Microbiome, Local Admixture, and Machine Learning to Optimize Anticoagulant Pharmacogenomics in Medically Underserved Patients
利用微生物组、局部混合物和机器学习来优化医疗服务不足的患者的抗凝药物基因组学
- 批准号:
10454235 - 财政年份:2021
- 资助金额:
$ 100.26万 - 项目类别:
Leveraging the Microbiome, Local Admixture, and Machine Learning to Optimize Anticoagulant Pharmacogenomics in Medically Underserved Patients
利用微生物组、局部混合物和机器学习来优化医疗服务不足的患者的抗凝药物基因组学
- 批准号:
10270784 - 财政年份:2021
- 资助金额:
$ 100.26万 - 项目类别:
Leveraging the Microbiome, Local Admixture, and Machine Learning to Optimize Anticoagulant Pharmacogenomics in Medically Underserved Patients
利用微生物组、局部混合物和机器学习来优化医疗服务不足的患者的抗凝药物基因组学
- 批准号:
10626114 - 财政年份:2021
- 资助金额:
$ 100.26万 - 项目类别:
Genomic and Transcriptomic Influences on Heparin-Induced Thrombocytopenia
基因组和转录组对肝素诱导的血小板减少症的影响
- 批准号:
10379303 - 财政年份:2019
- 资助金额:
$ 100.26万 - 项目类别:
Genomic and Transcriptomic Influences on Heparin-Induced Thrombocytopenia
基因组和转录组对肝素诱导的血小板减少症的影响
- 批准号:
9899307 - 财政年份:2019
- 资助金额:
$ 100.26万 - 项目类别:
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