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Proposal for the AMP T2D-GENES Data Coordination Center and Web Portal

Proposal for the AMP T2D-GENES Data Coordination Center and Web Portal
关于 AMP T2D-GENES 数据协调中心和门户网站的提案
批准号:
10006919
负责人:
JOSE CARLOS FLOREZ
金额:
$63.1万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-05-01 至 2021-04-30

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中文摘要
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英文摘要
 DESCRIPTION (provided by applicant): In response to RFA NIDDK RFA-DK-14-503, we propose to develop a public web portal that will aggregate data on human genotypes, phenotypes, and annotations relevant to type 2 diabetes (T2D) and related traits, automate the analysis and interpretation of these data, communicate the results clearly and comprehensively to scientists across biomedical disciplines, and provide an organizational infrastructure for the Accelerating Medicines Partnership in T2D (AMP T2D), a new consortium aiming to empower a wide range of biomedical investigators to use human genetic analysis to accelerate biological understanding and development of new treatments for T2D. As Director of the Data Coordinating Center and Chair of the Steering Committee of the T2D-GENES Consortium, the applicants (Altshuler and Boehnke) have been leaders of the T2D-GENES Consortium, which built a prototype T2D portal that provides access to results and explanations of underlying methods. This prototype includes data on 13,000 exome sequences, 80,000 samples genotyped on the exome array, and meta analyses of 25 genome-wide association studies, allowing users to fetch, filter, sort, and view results from these studies via an intuitive interfae. To expand the portal's data, we will work with the AMP T2D consortium to identify high-quality datasets relevant to T2D, related phenotypes, and functional annotations; develop an administrative and computational infrastructure to collate, store, and manage these datasets; and ensure the data are deposited in this infrastructure. To automate analyses of the data, we will form a group to identify best-practice methods and, where needed, develop new ones; build a software platform to run a series of complex analyses and store their inputs and outputs; and implement these codified statistical methods on the platform. To communicate the results, we will gather user requirements for portal functions; develop a web-based platform and software widgets to facilitate these functions; and design user-friendly queries, visualizations, text, and other features to serve these functions, instantiating them on the portal. To enable collaboration within AMP T2D, we will help define goals for communication and engagement; instantiate standard operating procedures and personnel; and perform administrative functions to support the consortium.
期刊论文(12)
专著(0)
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会议论文
Single-cell chromatin accessibility identifies pancreatic islet cell type- and state-specific regulatory programs of diabetes risk.
单细胞染色质可及性识别胰岛细胞类型和特定州糖尿病风险的调节计划。
DOI: 10.1038/s41588-021-00823-0
发表时间: 2021-04
期刊: NATURE GENETICS
影响因子: 30.8
作者: [Chiou, Joshua, Zeng, Chun, Cheng, Zhang, Han, Jee Yun, Schlichting, Michael, Miller, Michael, Mendez, Robert, Huang, Serina, Wang, Jinzhao, Sui, Yinghui, Deogaygay, Allison, Okino, Mei-Lin, Qiu, Yunjiang, Sun, Ying, Kudtarkar, Parul, Fang, Rongxin, Preissl, Sebastian, Sander, Maike, Gorkin, David U., Gaulton, Kyle J.]
通讯作者: Gaulton, Kyle J.
DOI: 10.2337/dbi17-0045
发表时间: 2018-10
期刊: Diabetes
影响因子: 7.7
作者: [Fitipaldi H, McCarthy MI, Florez JC, Franks PW]
通讯作者: Franks PW
DOI: 10.1007/s00125-017-4335-y
发表时间: 2017-09
期刊: Diabetologia
影响因子: 8.2
作者: [Florez JC]
通讯作者: Florez JC
Translating GWAS-identified loci for cardiac rhythm and rate using an in vivo image- and CRISPR/Cas9-based approach.
使用基于体内图像和 CRISPR/Cas9 的方法翻译 GWAS 识别的心律和心率基因座。
DOI: 10.1038/s41598-020-68567-1
发表时间: 2020
期刊: Scientific reports
影响因子: 4.6
作者: [vonderHeyde,Benedikt, Emmanouilidou,Anastasia, Mazzaferro,Eugenia, Vicenzi,Silvia, Höijer,Ida, Klingström,Tiffany, Jumaa,Sitaf, Dethlefsen,Olga, Snieder,Harold, deGeus,Eco, Ameur,Adam, Ingelsson,Erik, Allalou,Amin, Brooke,HannahL, denHo]
通讯作者: denHo
7
    A functional genomics pipeline for genetic discovery in diabetic kidney disease
    • 批准号:
      10673703
    • 项目类别:
    • 资助金额:
      $63.15万
    • 财政年份:
      2022
    • 负责人:
      JOSE CARLOS FLOREZ
    • 依托单位:
    A functional genomics pipeline for genetic discovery in diabetic kidney disease
    • 批准号:
      10418927
    • 项目类别:
    • 资助金额:
      $71.86万
    • 财政年份:
      2022
    • 负责人:
      JOSE CARLOS FLOREZ
    • 依托单位:
    Pharmacogenetic discovery in the GRADE comparative effectiveness type 2 diabetes clinical trial
    • 批准号:
      10378153
    • 项目类别:
    • 资助金额:
      $65.23万
    • 财政年份:
      2021
    • 负责人:
      JOSE CARLOS FLOREZ
    • 依托单位:
    Mentoring Investigators on the Clinical Translation of Cardiometabolic Genetic Discoveries
    • 批准号:
      10677868
    • 项目类别:
    • 资助金额:
      $12.53万
    • 财政年份:
      2021
    • 负责人:
      JOSE CARLOS FLOREZ
    • 依托单位:
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