Mentoring Investigators on the Clinical Translation of Cardiometabolic Genetic Discoveries

指导研究人员进行心脏代谢遗传发现的临床转化

基本信息

  • 批准号:
    10465073
  • 负责人:
  • 金额:
    $ 12.53万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-08-10 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

ABSTRACT We have entered a new era in which the explosion of genomic and biological information across multiple developmental and metabolic states is poised to transform the practice of medicine. The clinician’s ability to absorb, assimilate and translate this information will determine the extent of its impact on public health. There is an urgent need to train clinical and non-clinical scientists who are competent on big biological data, and who can curate, disseminate and implement the clinically actionable findings that emerge from ongoing efforts. The PI on this application has dedicated himself to advance genomic and metabolomic discoveries in type 2 diabetes and related metabolic traits, and during the first funding cycle of this award generated resources and established a training pipeline at the Massachusetts General Hospital (MGH) and Broad Institute. He now seeks to continue attracting and mentoring a cadre of highly trained investigators who will be enabled and empowered to lead the application of genomic and systems-wide approaches to the clinical setting. To achieve this goal, he will 1) expand the infrastructure of pertinent genomic and physiologic datasets available for mining, 2) maintain a rigorous yet nurturing training pipeline of carefully selected mentees, and 3) guide the investigation of clinically relevant hypotheses that can be tested in the ideal environment. Dr. Florez is embedded in a successful and productive milieu that embraces a culture of collaboration. As the Chief of the Endocrine Division and member of the Center for Genomic Medicine at the MGH and an Institute Member at the Broad Institute, he is placed in a unique position that will enable him and his trainees to benefit from direct access to an unparalleled suite of training resources and datasets germane to the proposed patient-oriented research in cardiometabolic disease.
摘要

项目成果

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JOSE CARLOS FLOREZ其他文献

JOSE CARLOS FLOREZ的其他文献

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{{ truncateString('JOSE CARLOS FLOREZ', 18)}}的其他基金

A functional genomics pipeline for genetic discovery in diabetic kidney disease
用于糖尿病肾病遗传发现的功能基因组学管道
  • 批准号:
    10673703
  • 财政年份:
    2022
  • 资助金额:
    $ 12.53万
  • 项目类别:
A functional genomics pipeline for genetic discovery in diabetic kidney disease
用于糖尿病肾病遗传发现的功能基因组学管道
  • 批准号:
    10418927
  • 财政年份:
    2022
  • 资助金额:
    $ 12.53万
  • 项目类别:
Pharmacogenetic discovery in the GRADE comparative effectiveness type 2 diabetes clinical trial
GRADE 2 型糖尿病有效性比较临床试验中的药物遗传学发现
  • 批准号:
    10378153
  • 财政年份:
    2021
  • 资助金额:
    $ 12.53万
  • 项目类别:
Mentoring Investigators on the Clinical Translation of Cardiometabolic Genetic Discoveries
指导研究人员进行心脏代谢遗传发现的临床转化
  • 批准号:
    10677868
  • 财政年份:
    2021
  • 资助金额:
    $ 12.53万
  • 项目类别:
Mentoring Investigators on the Clinical Translation of Cardiometabolic Genetic Discoveries
指导研究人员进行心脏代谢遗传发现的临床转化
  • 批准号:
    10215725
  • 财政年份:
    2021
  • 资助金额:
    $ 12.53万
  • 项目类别:
Pharmacogenetic discovery in the GRADE comparative effectiveness type 2 diabetes clinical trial
GRADE 2 型糖尿病有效性比较临床试验中的药物遗传学发现
  • 批准号:
    10211219
  • 财政年份:
    2021
  • 资助金额:
    $ 12.53万
  • 项目类别:
Pharmacogenetic discovery in the GRADE comparative effectiveness type 2 diabetes clinical trial
GRADE 2 型糖尿病有效性比较临床试验中的药物遗传学发现
  • 批准号:
    10589095
  • 财政年份:
    2021
  • 资助金额:
    $ 12.53万
  • 项目类别:
Bridging the gap between type 2 diabetes GWAS and therapeutic targets
缩小 2 型糖尿病 GWAS 与治疗目标之间的差距
  • 批准号:
    10242210
  • 财政年份:
    2020
  • 资助金额:
    $ 12.53万
  • 项目类别:
Bridging the gap between type 2 diabetes GWAS and therapeutic targets
缩小 2 型糖尿病 GWAS 与治疗目标之间的差距
  • 批准号:
    10064781
  • 财政年份:
    2020
  • 资助金额:
    $ 12.53万
  • 项目类别:
Center for Identification and Study of Individuals with Atypical Diabetes Mellitus
非典型糖尿病个体识别和研究中心
  • 批准号:
    10364884
  • 财政年份:
    2018
  • 资助金额:
    $ 12.53万
  • 项目类别:

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