Personalized Medicine in Nevada COBRE
Personalized Medicine in Nevada COBRE
批准号:
10458476
负责人:
MARTIN R SCHILLER
金额:
$213.0万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-06-01 至 2024-05-31
关键词:
Academic Medical CentersAccreditationAddressAdvisory CommitteesAlgorithmsApplied GeneticsAwardBasic ScienceBenchmarkingBig DataBioinformaticsBiomedical ResearchCenters of Research ExcellenceClinicalClinical ResearchClinical ServicesCollaborationsDataData AnalysesDevelopmentDiagnosisEducationEnvironmentEtiologyFacultyFosteringFoundationsFundingFutureGeneticGenetic CounselingGenetic MarkersGenetic ResearchGenetic ServicesGenomeGenomicsGoalsGrantGraphGrowthHealthcareHuman GeneticsHuman GenomeHybridsIndividualInfrastructureInstitutesInterdisciplinary StudyInvestmentsLeadershipLettersMalignant NeoplasmsMarker DiscoveryMeasuresMedicalMedical GeneticsMedicineMentorsMicrogliaMinority-Serving InstitutionModelingModernizationMonitorNevadaOutcomePhasePositioning AttributePrincipal InvestigatorPrivate SectorPrivatizationPrognosisRecording of previous eventsReference ValuesResearchResearch InfrastructureResearch PersonnelResearch Project GrantsResearch SupportRoleSchizophreniaSchool NursingSocietiesStudentsTrainingTranslational ResearchUnited States National Institutes of HealthUniversitiesbasecareer developmentexperiencegenetic makeupgenetic technologygenome analysisgenome sequencinggenomic datahealth care service organizationimprovedindividualized medicinemedical schoolsnovelnovel strategiespeerpersonalized approachpersonalized medicineprecision medicineprogramspsychosocialrole modelstandard of carestatisticssuccesssynergism
中文摘要
摘要:总体
社会正在超越“反复试验的医学”,进入一个数据驱动的新时代,在这个时代,一个人的基因
化妆用于提高医疗诊断、预后和治疗的准确性[1,2]。在巴拉克总统身上
奥巴马在2015年1月20日的国情咨文演讲中提到了对未来投资的承诺
在个性化医疗方面。包括美国国立卫生研究院(NIH)院长弗朗西斯·柯林斯在内的许多专家,
相信现在所谓的个性化、精准化或个性化医疗将改变未来
在医疗保健方面。随着新兴的基因技术逐渐成为某些临床护理的标准
在很大程度上是由学术医疗中心推动的,它们将继续改善。现代基因组学与
相关的生物信息学分析已经成为现代生物医学研究的主要内容。然而,没有
科布雷在个性化医疗领域,尽管它的影响力越来越大。NIH Cobre计划旨在加强
生物医学研究基础设施和改进竞争性研究机构发展奖
(想法)-符合条件的州。现代基因组和生物信息学分析已经成为现代
生物医学研究。然而,个性化医疗领域并不存在科布雷,尽管它的影响力越来越大。
志愿人员方案处于独特的地位,能够满足这一未得到满足的迫切需要。我们Cobre的科学前提是
通过前沿研究推动基因组学和遗传学在个性化医疗中的应用
发现和使用遗传标记,建立一个培养新研究人员的卓越中心
独立,并与联合国志愿人员组织医学院和其他合作伙伴在基础和
翻译研究。与NIH Cobre计划I的目标一致,即加强生物医学
在符合IDEA资格的州的研究基础设施和竞争性研究中,我们提出了三个目标:(1)建立
持续的个性化医疗中心;(2)培养新的研究人员的成长和独立性;以及(3)
开展个性化医学研究。为了实现这些目标,我们建议的Cobre包括
管理核心(AC),分析(大数据)核心和基因组的新人类基因组数据算法
分析和排序管道(GAP)核心,三个新的调查者研究项目(RP),一个指导
由内部和外部专家小组、内部和外部咨询委员会和试点赠款方案组成
12个奖项旨在培养一批新的调查人员。领导和指导团队拥有
目前的研究集中在个性化的医学主题上,NIH的研究经费稳定,并有较强的
辅导历史。
Cobre将为推出医学遗传学临床服务和未来奠定基础
通过与UNLV医学院合作,在临床遗传学方面的教育计划,以及
通过护理学院遗传咨询方面的合作教育项目。类似的结果
都被以前的科布雷计划所利用。Cobre的主要交付成果是RPS推进
个性化医学,新的独立调查人员,新的生物医学研究基础设施,以及新的
个性化医疗计划。可持续发展模式建立在预期的第二阶段资金的基础上,这是一个试点
格兰特计划,研究核心可持续发展混合动力模型。
英文摘要
ABSTRACT: OVERALL
Society is progressing beyond “trial-and-error medicine” into a new data-driven era wherein one's genetic
makeup is used to improve accuracy in medical diagnosis, prognosis, and treatment [1,2]. In President Barack
Obama's State of the Union Address on January 20, 2015, he mentioned the promise of, and future investment
in, personalized medicine. Many experts, including National Institutes of Health (NIH) Director Francis Collins,
MD, believe that what is now called personalized, precision, or individualized medicine will transform the future
of healthcare. As emerging genetic technologies gradually become the standard of care in some clinical
settings, they will continue to improve, driven largely by academic medical centers. Modern genomic and
associated bioinformatic analyses have become a staple of modern biomedical research. However, there is no
COBRE in personalized medicine, despite its growing influence. The NIH COBRE program aims to strengthen
the biomedical research infrastructure and improve competitive research in Institutional Development Award
(IDeA)–eligible states. Modern genomic and bioinformatic analyses have become a staple of modern
biomedical research. However, no COBRE exists in personalized medicine, despite its growing influence.
UNLV is uniquely positioned to deliver on this urgent unmet need. The scientific premise of our COBRE is
to advance the use of genomics and genetics in personalized medicine through cutting-edge research
discovery and use of genetic markers, building a center of excellence that fosters new investigator
independence, and collaborating with the UNLV School of Medicine and other partners in basic and
translational research. Consistent with the goal of the NIH COBRE program i to strengthen biomedical
research infrastructure and competitive research in IDeA eligible states, we propose three aims: (1) to build a
sustained center in personalized medicine; (2) to nurture new investigator growth and independence; and (3) to
grow personalized medicine research. To accomplish these goals our proposed COBRE consists of an
Administrative core (AC), new Human Genome Data Algorithms to Analytics (HuGe DAtA) core and Genome
Analysis and Sequencing Pipeline (GASP) cores, three new investigator research projects (RPs), a mentoring
panel of internal and external experts, internal and external advisory committees, and a pilot grant program
with 12 awards intended to cultivate a pipeline of new investigators. The leadership and mentoring teams have
current research focused on the personalized medicine theme, steady NIH research funding, and a strong
mentoring history.
This COBRE will establish a foundation to launch medical genetics clinical services and a future
educational program in clinical genetics through its collaboration with the UNLV School of Medicine, and
through a collaborative educational program in genetic counseling in the School of Nursing. Similar outcomes
were leveraged by previous COBRE programs. The major deliverables of the COBRE are RPs advancing
personalized medicine, new independent investigators, a new biomedical research infrastructure, and a new
program in personalized medicine. The sustainability model is built upon anticipated phase II funding, a pilot
grant program, and research core sustainability hybrid models.
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DOI:
10.1038/s41598-021-83263-4
发表时间:
2021-02-12
期刊:
Scientific reports
影响因子:
4.6
作者:
[Xu Y, Wu Q]
通讯作者:
Wu Q
Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men.
用于骨折风险评估的机器学习方法:5130 名老年男性基因组和表型数据的比较分析。
DOI:
10.1007/s00223-020-00734-y
发表时间:
2020
期刊:
Calcified tissue international
影响因子:
4.2
作者:
[Wu,Qing, Nasoz,Fatma, Jung,Jongyun, Bhattarai,Bibek, Han,MiraV]
通讯作者:
Han,MiraV
DOI:
10.1371/journal.pone.0257984
发表时间:
2021
期刊:
PloS one
影响因子:
3.7
作者:
[Vetrichelvan O, Gorjala P, Goodman O Jr, Mitra R]
通讯作者:
Mitra R
DOI:
10.1186/s12967-023-03974-2
发表时间:
2023-02-16
期刊:
JOURNAL OF TRANSLATIONAL MEDICINE
影响因子:
7.4
作者:
[Wu, Qing, Jung, Jongyun]
通讯作者:
Jung, Jongyun
DOI:
10.1038/s41598-023-31730-5
发表时间:
2023-03-31
期刊:
SCIENTIFIC REPORTS
影响因子:
4.6
作者:
[Cammann, Davis, Lu, Yimei, Cummings, Melika J. J., Zhang, Mark L. L., Cue, Joan Manuel, Do, Jenifer, Ebersole, Jeffrey, Chen, Xiangning, Oh, Edwin C. C., Cummings, Jeffrey L. L., Chen, Jingchun]
通讯作者:
Chen, Jingchun
共 30 条
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批准号:10458477
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项目类别:
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负责人:MARTIN R SCHILLER
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