Innovative Infrastructure to Enhance and Sustain the California Teachers Study Cohort

创新基础设施,以增强和维持加州教师研究队伍

基本信息

  • 批准号:
    10259758
  • 负责人:
  • 金额:
    $ 156.85万
  • 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
  • 起止时间:
    2015-09-01 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY / ABSTRACT The California Teachers Study (CTS) has collected high-quality and detailed exposure, biospecimens, cancer, and clinical endpoint data on 133,477 female volunteers followed since 1995. The cancers, hospitalizations, and deaths to date are less than half of the total endpoints projected to occur in the CTS over the next 30 years. In the next 5 years, CTS follow-up will include over 37,000 cancers; 455,000 hospitalizations; and 41,000 deaths. This provides a solid foundation for collaborative research using these unique resources. Since 2013, the CTS collected new blood samples from 14,674 participants. Cloud computing and integrated mobile devices generated rich phenotype data and exceptionally low pre-analytical variability for 488,000 aliquots that are being stored as CTS follow-up continues. Since 2015, the CTS modernized its data collection, storage, and analysis infrastructure by implementing a secure data warehouse and flexible analytics environment designed for high-quality and integrated epidemiologic analysis. The CTS includes secure user authentication & authorization; a collaborative workspace with documents, data visualizations, tools, and workflows; metadata; application programming interface (API) capabilities; and a scalable data model. The CTS is now positioned to streamline its resources for long-term sustainability. The goals of this competing renewal are to preserve existing resources that enable research and strategically expand areas that create high-value opportunities. First, we will maintain existing CTS data and extend passive follow-up through efficient cancer, hospitalization, and mortality linkages. These ongoing linkages will generate additional endpoints used for future etiologic, consortial, aging, and other research. Second, we will store the 488,000 high-quality biospecimens collected since 2013. These specimens are all currently available to everyone; ongoing storage will ensure that they remain available to everyone. Third, we will expand capacity by integrating additional targeted geospatial data on climate, extreme weather, built environment, community characteristics, health access, environmental exposures, social vulnerability, and community resilience. The new CTS infrastructure efficiently enables everyone, regardless of their GIS expertise, to rigorously incorporate individual-level geospatial exposures into their analyses. Fourth, because most participants are now over age 65, we will link the CTS with Medicare outpatient data to complement existing data and expand infrastructure for aging, survivorship, comorbidity, and health services research. The recent CTS infrastructure updates added research-ready efficiencies to manage and process complex geospatial, administrative claims, and other CTS data in ways that help all researchers, especially those outside the CTS, conduct integrative, rigorous, and reproducible research. The CTS is an innovation leader with primed assets and decades of promising future research potential. This competing renewal will maintain high-value CTS resources that can address understudied research areas, facilitate broader use by the entire scientific community, and streamline the CTS for long-term sustainability.
项目总结/摘要 加州教师研究(CTS)收集了高质量和详细的暴露,生物标本,癌症, 自1995年以来,133,477名女性志愿者的临床终点数据。癌症住院治疗 到目前为止,死亡人数还不到未来30年CTS预计发生的总终点的一半。 年在未来5年,CTS随访将包括超过37,000例癌症; 455,000例住院治疗; 四万一千人死亡。这为利用这些独特资源进行合作研究奠定了坚实的基础。以来 2013年,CTS从14,674名参与者中收集了新的血液样本。云计算和集成的移动的 设备生成了丰富的表型数据,488,000份等分试样的分析前变异性异常低, 正在存储中,因为CTS后续操作仍在继续。自2015年以来,CTS对其数据收集、存储和 通过实施安全的数据仓库和灵活的分析环境, 用于高质量和综合的流行病学分析。CTS包括安全的用户身份验证和 授权;包含文档、数据可视化、工具和工作流的协作工作区;元数据; 应用程序编程接口(API)能力;以及可伸缩的数据模型。CTS现在定位为 精简其资源以实现长期可持续性。这一竞争性更新的目标是保护 现有的资源,使研究和战略性地扩大领域,创造高价值的机会。 首先,我们将保持现有的CTS数据,并通过有效的癌症,住院, 和死亡率之间的联系。这些正在进行的联系将产生用于未来病因学的额外终点, 财团,老龄化,和其他研究。第二,我们将储存收集的488,000份高质量生物标本 自2013年这些标本目前都可供大家使用;持续的储存将确保它们 保持对所有人开放。第三,我们将通过整合更多有针对性的地理空间数据来扩大能力 关于气候、极端天气、建筑环境、社区特征、健康获取、环境 风险暴露、社会脆弱性和社区复原力。新的CTS基础架构有效地实现了 每个人,无论他们的GIS专业知识,严格纳入个人层面的地理空间暴露, 他们的分析。第四,由于大多数参与者现在都超过65岁,我们将把CTS与Medicare联系起来 门诊数据,以补充现有数据,并扩大老龄化,生存,合并症, 卫生服务研究。最近的CTS基础架构更新增加了研究就绪的管理效率 并以帮助所有研究人员的方式处理复杂的地理空间、行政索赔和其他CTS数据, 特别是那些CTS之外的人,进行综合的,严格的和可重复的研究。CTS是一个 创新领导者,拥有充足的资产和数十年的未来研究潜力。这种竞争 更新将保持高价值的CTS资源,可以解决研究不足的研究领域,促进 整个科学界更广泛地使用,并简化CTS以实现长期可持续性。

项目成果

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James V Lacey其他文献

Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction
欧洲血统人群多基因评分分布的差异:对乳腺癌风险预测的影响
  • DOI:
    10.1101/2024.02.12.24302043
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kristia Yiangou;N. Mavaddat;J. Dennis;M. Zanti;Qin Wang;M. Bolla;Mustapha Abubakar;T. Ahearn;I. Andrulis;H. Anton;N. Antonenkova;V. Arndt;K. Aronson;A. Augustinsson;Adinda Baten;S. Behrens;M. Bermisheva;Amy Berrington de González;K. Białkowska;N. Boddicker;C. Bodelón;N. Bogdanova;S. Bojesen;K. Brantley;H. Brauch;H. Brenner;Nicola J. Camp;F. Canzian;J. Castelao;Melissa H. Cessna;J. Chang;G. Chenevix;Wendy K. Chung;Sarah V Colonna;F. Couch;A. Cox;Simon S. Cross;K. Czene;M. Daly;P. Devilee;T. Dörk;A. Dunning;Diana M. Eccles;A. Eliassen;Christoph Engel;M. Eriksson;D. G. Evans;Peter A. Fasching;O. Fletcher;H. Flyger;L. Fritschi;M. Gago;A. Gentry;A. González;P. Guénel;E. Hahnen;C. Haiman;U. Hamann;Jaana M. Hartikainen;Vikki Ho;James M. Hodge;A. Hollestelle;E. Honisch;M. Hooning;Reiner Hoppe;J. Hopper;Sacha J. Howell;A. Howell;Simona Jakovchevska;A. Jakubowska;H. Jernström;N. Johnson;Rudolf Kaaks;Elza K. Khusnutdinova;C. Kitahara;Stella Koutros;V. Kristensen;James V Lacey;D. Lambrechts;F. Lejbkowicz;A. Lindblom;M. Lush;A. Mannermaa;Dimitrios Mavroudis;Usha Menon;Rachel Murphy;H. Nevanlinna;Nadia Obi;K. Offit;Tjoung;A. Patel;Cheng Peng;P. Peterlongo;G. Pita;D. Plaseska‐Karanfilska;K. Pylkäs;P. Radice;M. U. Rashid;Gadi Rennert;Eleanor Roberts;Juan Rodriguez;A. Romero;E. Rosenberg;E. Saloustros;Dale P. Sandler;E. Sawyer;Rita Schmutzler;C. Scott;X. Shu;M. Southey;Jennifer Stone;Jack A. Taylor;Lauren R. Teras;I. van de Beek;Walter Willett;R. Winqvist;W. Zheng;C. Vachon;M. Schmidt;Per Hall;R. MacInnis;R. Milne;Paul D. P. Pharoah;J. Simard;A. Antoniou;Douglas F. Easton;K. Michailidou
  • 通讯作者:
    K. Michailidou
Association of tea and coffee consumption and biliary tract cancer risk: The Biliary Tract Cancers Pooling Project
茶和咖啡消费与胆道癌风险的关联:胆道癌汇集项目
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    13.5
  • 作者:
    Yu;E. Loftfield;Ilona Argirion;Hans;D. Albanes;A. T. Chan;V. Fedirko;G.E. Fraser;Neal D. Freedman;Graham G. Giles;Patricia Hartge;Verena A. Katzke;S. Knutsen;James V Lacey;Linda M. Liao;Juhua Luo;R. Milne;K. O’Brien;Ulrike Peters;J. Poynter;M. Purdue;K. Robien;Sven Sandin;Dale P. Sandler;V. Setiawan;Jae H. Kang;Tracey G. Simon;Rashmi Sinha;T. VoPham;S. Weinstein;Emily White;Xuehong Zhang;Bin Zhu;K. McGlynn;P. Campbell;Mei;J. Koshiol
  • 通讯作者:
    J. Koshiol
A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: application to BRCA1 and BRCA2.
在罕见序列变异的临床分类中利用病例对照数据的似然比方法:应用于 BRCA1 和 BRCA2。
  • DOI:
    10.1155/2023/9961341
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    M. Zanti;Denise G. O’Mahony;Michael T. Parsons;Hongyan Li;J. Dennis;Kristiina Aittomäkkiki;I. Andrulis;H. Anton;K. Aronson;A. Augustinsson;Heiko Becher;S. Bojesen;M. Bolla;H. Brenner;Melissa A. Brown;S. Buys;F. Canzian;S. Caputo;J. Castelao;J. Chang;GC;K. Czene;M. Daly;Arcangela De Nicolo;P. Devilee;T. Dörk;A. Dunning;M. Dwek;D. Eccles;C. Engel;David Evans;P. Fasching;M. Gago;M. García;J. García;A. Gentry;Willemina R. R. Geurts ;G. Giles;G. Glendon;M. Goldberg;E. G. Gómez Garcia;Melanie Güendert;P. Guénel;E. Hahnen;C. Haiman;P. Hall;U. Hamann;E. Harkness;Frans B. L. Hogervorst;A. Hollestelle;Reiner Hoppe;J. Hopper;C. Houdayer;R. Houlston;A. Howell;ABCTB Investigators;M. Jakimovska;A. Jakubowska;H. Jernström;E. John;R. Kaaks;C. Kitahara;Stella Koutros;P. Kraft;V. Kristensen;James V Lacey;D. Lambrechts;M. Léoné;A. Lindblom;J. Lubiński;M. Lush;A. Mannermaa;M. Manoochehri;S. Manoukian;S. Margolin;M. E. Martinez;Usha Menon;R. Milne;A. Monteiro;R. A. Murphy;S. Neuhausen;H. Nevanlinna;W. G. Newman;K. Offit;Sue;P. James;P. Peterlongo;J. Peto;D. Plaseska‐Karanfilska;K. Punie;P. Radice;Muhammad Abo ul Hassan Rashid;G. Rennert;A. Romero;E. Rosenberg;E. Saloustros;D. Sandler;M. Schmidt;R. Schmutzler;X. Shu;J. Simard;M. Southey;J. Stone;D. Stoppa;R. Tamimi;W. Tapper;Jack A. Taylor;Soo;Lauren R. Teras;M. Terry;M. Thomassen;M. Troester;C. Vachon;Ana Vega;M. Vreeswijk;Qin Wang;B. Wappenschmidt;C. R. Weinberg;A. Wolk;W. Zheng;Bing;F. Couch;A. Spurdle;D. Easton;D. Goldgar;K. Michailidou
  • 通讯作者:
    K. Michailidou

James V Lacey的其他文献

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{{ truncateString('James V Lacey', 18)}}的其他基金

Genome-wide genotyping of existing samples from Asian American and Pacific Islander participants in the California Teachers Study cohort to facilitate broad and open future research
对加州教师研究队列中亚裔美国人和太平洋岛民参与者的现有样本进行全基因组基因分型,以促进广泛和开放的未来研究
  • 批准号:
    10408476
  • 财政年份:
    2015
  • 资助金额:
    $ 156.85万
  • 项目类别:
Innovative Infrastructure to Enhance and Sustain the California Teachers Study Cohort
创新基础设施,以增强和维持加州教师研究队伍
  • 批准号:
    10686141
  • 财政年份:
    2015
  • 资助金额:
    $ 156.85万
  • 项目类别:
Genome-wide genotyping of existing samples in the California Teachers Study cohort from under-represented racial & ethnic minority groups to facilitate broad and open future research
对加州教师研究队列中代表性不足的种族的现有样本进行全基因组基因分型
  • 批准号:
    10629670
  • 财政年份:
    2015
  • 资助金额:
    $ 156.85万
  • 项目类别:
Innovative Infrastructure to Enhance and Sustain the California Teachers Study Cohort
创新基础设施,以增强和维持加州教师研究队伍
  • 批准号:
    10053181
  • 财政年份:
    2015
  • 资助金额:
    $ 156.85万
  • 项目类别:
Innovative Infrastructure to Enhance and Sustain the California Teachers Study Cohort
创新基础设施,以增强和维持加州教师研究队伍
  • 批准号:
    10478112
  • 财政年份:
    2015
  • 资助金额:
    $ 156.85万
  • 项目类别:
A More Perfect Union: Leveraging Clinically Deployed Models and Cancer Epidemiology Cohort Data to Improve AI/ML Readiness of NIH-Supported Population Sciences Resources
更完美的联盟:利用临床部署的模型和癌症流行病学队列数据来提高 NIH 支持的人口科学资源的 AI/ML 准备情况
  • 批准号:
    10594304
  • 财政年份:
    2015
  • 资助金额:
    $ 156.85万
  • 项目类别:
Oil and Gas as Drivers of Climate Change and Health: Developing unique resources to investigate multi-level and diverse effects of exposure to oil and gas wells
石油和天然气作为气候变化和健康的驱动因素:开发独特的资源来调查接触石油和天然气井的多层次和多样化的影响
  • 批准号:
    10839157
  • 财政年份:
    2015
  • 资助金额:
    $ 156.85万
  • 项目类别:
New Biospecimens to Enhance Research in the California Teachers Study Cohort
新的生物样本将加强加州教师研究队列的研究
  • 批准号:
    8550025
  • 财政年份:
    2012
  • 资助金额:
    $ 156.85万
  • 项目类别:
New Biospecimens to Enhance Research in the California Teachers Study Cohort
新的生物样本将加强加州教师研究队列的研究
  • 批准号:
    8374426
  • 财政年份:
    2012
  • 资助金额:
    $ 156.85万
  • 项目类别:
New Biospecimens to Enhance Research in the California Teachers Study Cohort
新的生物样本将加强加州教师研究队列的研究
  • 批准号:
    8917892
  • 财政年份:
    2012
  • 资助金额:
    $ 156.85万
  • 项目类别:

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