eMERGE Coordinating Center

eMERGE 协调中心

基本信息

  • 批准号:
    8523950
  • 负责人:
  • 金额:
    $ 95.85万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-08-15 至 2015-07-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Determining the genetic architecture of human traits has been a successful and rapidly advancing aspect of Human Genetics. Our ability to characterize individual genetic variation is rapidly approaching the whole genome sequence level. However, equally important is rapid and detailed characterization of the phenotypic variation in the traits themselves, such that meaningful correlations can be identified between genotype and phenotype. The initial phase of the eMERGE network explored the use of electronic medical records for rapid and large-scale characterization of phenotypes and the ability to use linked DNA repositories to generate and analyze genetic variation. The eMERGE network has already demonstrated the viability and utility of this approach in a number of "proof-of-principle" studies. It is now important to determine the portability and expandability of these approaches in a second and expanded phase of the network. Vanderbiit provided the underlying support for the initial eMERGE network through a supplement to its current eMERGE grant (VGER). We propose to continue our support for an expanded network through a coordinating center (eMERGE-CC) that will provide a combination of scientific and logistical efforts through four specific aims: 1). Accelerate phenotype algorithm development and sharing across the eMERGE-ll network; 2). Expand methods to integrate high quality genomic information within EMRs across the eMERGE-ll network and analyze the resulting data; 3). Expand and accelerate methods to determine the reidentification risk and levels of privacy afforded by performing research on combined clinical and genetic data from the eMERGE-ll network; and 4). Continue to provide logistical support to the entire eMERGE-ll network. RELEVANCE (See instructions): The goal of the eMERGE project is to develop methods for using data from electronic medical records and data from genetic studies to better understand the genetic underpinnings of clinical disease. A further goal is to integrate this information into clinical care. The role of the Coordinating Center is to support these activities.
描述(由申请人提供):确定人类性状的遗传结构是人类遗传学的一个成功和快速发展的方面。我们表征个体遗传变异的能力正在迅速接近全基因组序列水平。然而,同样重要的是快速和详细的表征性状本身的表型变异,这样就可以确定基因型和表型之间有意义的相关性。eMERGE网络的初始阶段探索了使用电子病历进行快速和大规模的 表型的表征和使用连接的DNA库来产生和分析遗传变异的能力。eMERGE网络已经在一些“原理证明”研究中证明了这一方法的可行性和实用性。现在重要的是确定这些方法在网络的第二和扩展阶段的可移植性和可扩展性。Vanderbit通过补充其当前的eMERGE赠款(VGER)为初始eMERGE网络提供了基础支持。我们建议通过一个协调中心(eMERGE-CC)继续支持扩大网络,该中心将通过四个具体目标提供科学和后勤工作的结合:1)。加速表型算法的开发和在eMERGE-ll网络中的共享; 2)。扩展方法以跨eMERGE-II网络在EMR内整合高质量基因组信息并分析所得数据; 3).扩大和加快方法,以确定通过对来自eMERGE-II网络的组合临床和遗传数据进行研究所提供的重新识别风险和隐私水平;以及4)。继续为整个eMERGE-II网络提供后勤支持。 相关性(参见说明):eMERGE项目的目标是开发使用电子病历数据和遗传研究数据的方法,以更好地了解临床疾病的遗传基础。另一个目标是将这些信息整合到临床护理中。协调中心的作用是支持这些活动。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

DANA C CRAWFORD其他文献

DANA C CRAWFORD的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('DANA C CRAWFORD', 18)}}的其他基金

Data Lakes Meet the Great Lakes: Deep Dives into Diversity in Genomics
数据湖与五大湖相遇:深入探讨基因组学的多样性
  • 批准号:
    10308476
  • 财政年份:
    2020
  • 资助金额:
    $ 95.85万
  • 项目类别:
T-cell receptor repertoires and Alzheimer's disease
T 细胞受体库和阿尔茨海默病
  • 批准号:
    9918835
  • 财政年份:
    2019
  • 资助金额:
    $ 95.85万
  • 项目类别:
Sequencing and Genotyping in Diverse Populations: Who Wants What Back (and When)?
不同人群的测序和基因分型:谁想要什么(以及何时)返回?
  • 批准号:
    9762963
  • 财政年份:
    2018
  • 资助金额:
    $ 95.85万
  • 项目类别:
Precision Medicine for All
全民精准医疗
  • 批准号:
    9355204
  • 财政年份:
    2016
  • 资助金额:
    $ 95.85万
  • 项目类别:
Precision Medicine for All
全民精准医疗
  • 批准号:
    9260316
  • 财政年份:
    2016
  • 资助金额:
    $ 95.85万
  • 项目类别:
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)
环境相关基因的流行病学结构 (EAGLE)
  • 批准号:
    7913853
  • 财政年份:
    2009
  • 资助金额:
    $ 95.85万
  • 项目类别:
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)
环境相关基因的流行病学结构 (EAGLE)
  • 批准号:
    8085918
  • 财政年份:
    2008
  • 资助金额:
    $ 95.85万
  • 项目类别:
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)
环境相关基因的流行病学结构 (EAGLE)
  • 批准号:
    8693155
  • 财政年份:
    2008
  • 资助金额:
    $ 95.85万
  • 项目类别:
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)
环境相关基因的流行病学结构 (EAGLE)
  • 批准号:
    7658897
  • 财政年份:
    2008
  • 资助金额:
    $ 95.85万
  • 项目类别:
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)
环境相关基因的流行病学结构 (EAGLE)
  • 批准号:
    7533567
  • 财政年份:
    2008
  • 资助金额:
    $ 95.85万
  • 项目类别:

相似海外基金

CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Continuing Grant
Collaborative Research: SHF: Small: Artificial Intelligence of Things (AIoT): Theory, Architecture, and Algorithms
合作研究:SHF:小型:物联网人工智能 (AIoT):理论、架构和算法
  • 批准号:
    2221742
  • 财政年份:
    2022
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Artificial Intelligence of Things (AIoT): Theory, Architecture, and Algorithms
合作研究:SHF:小型:物联网人工智能 (AIoT):理论、架构和算法
  • 批准号:
    2221741
  • 财政年份:
    2022
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Standard Grant
Algorithms and Architecture for Super Terabit Flexible Multicarrier Coherent Optical Transmission
超太比特灵活多载波相干光传输的算法和架构
  • 批准号:
    533529-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Collaborative Research and Development Grants
OAC Core: Small: Architecture and Network-aware Partitioning Algorithms for Scalable PDE Solvers
OAC 核心:小型:可扩展 PDE 求解器的架构和网络感知分区算法
  • 批准号:
    2008772
  • 财政年份:
    2020
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Standard Grant
Algorithms and Architecture for Super Terabit Flexible Multicarrier Coherent Optical Transmission
超太比特灵活多载波相干光传输的算法和架构
  • 批准号:
    533529-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Collaborative Research and Development Grants
Visualization of FPGA CAD Algorithms and Target Architecture
FPGA CAD 算法和目标架构的可视化
  • 批准号:
    541812-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 95.85万
  • 项目类别:
    University Undergraduate Student Research Awards
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759836
  • 财政年份:
    2018
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759796
  • 财政年份:
    2018
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759807
  • 财政年份:
    2018
  • 资助金额:
    $ 95.85万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了