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
基本信息
- 批准号:10839157
- 负责人:
- 金额:$ 65.06万
- 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
- 来源:
- 关键词:AccelerationAddressAdultAffectAsthmaCaliforniaCarcinogensCensusesClinicalCohort StudiesComplexComputer softwareDataData CommonsData LinkagesDatabasesDiseaseEducationEmergency department visitEnergy-Generating ResourcesEnvironmentEthnic OriginEventExposure toFlareFutureGasesGreen spaceHealthHomeHospitalizationHumanImmune System DiseasesIncomeIndividualIndustryLiver diseasesLocationMalignant NeoplasmsMeasuresNeighborhoodsOilsParticipantPatient Self-ReportPatternPersonsPlayPopulationPopulation DensityPopulation SciencesPositioning AttributeProductionRaceRecording of previous eventsResearchResearch PersonnelResearch PriorityResourcesRiskSchoolsSecureServicesSiteSocioeconomic StatusSubgroupSurveysSystemTimeToxinVulnerable PopulationsWomanWorkWorkplaceWorld Healthanticancer researchclimate changeclimate impactclimate-related healthcloud basedcohortdata accessdata integrationdata resourcedata visualizationexposed human populationfollow-upgreenhouse gaseshuman diseaseimprovedinterestlarge scale datamortalitynervous system disordernovelpollutantprospectiverespiratorystudy populationteachertooluser-friendlywalkability
项目摘要
PROJECT SUMMARY / ABSTRACT
The oil and gas industry generates half of all global greenhouse gasses. On the ground, local oil and gas
production creates myriad exposures that can increase risks of developing asthma and cancer, as well as liver,
immune, and neurologic diseases. Millions of California residents live, work, and play near active oil and gas
wells because the State does not require any minimum distance between those wells & schools, homes, parks,
or workplaces. Exposure to oil & gas wells is complex and dynamic, but few studies include the breadth and
depth of data necessary to fully assess contemporary health effects or understand future changes. The
California Teachers Study (CTS) is a prospective observational cohort that has followed N=133,477 adult
women, almost all of whom live in California, continuously since 1995-1996. We propose to create detailed,
individual-level data on CTS participants' exposure to oil and gas wells during CTS follow-up. First, we will use
detailed data on all oil and gas wells in California from the California Department of Conservation Geologic
Energy Management Division (CalGEM) well statewide tracking system (WellSTAR) and from Enverus, a
commercial service that maintains a national database of all oil and gas well drilling, system to identify who
was exposed to oil and gas well sites. We will create time-dependent exposure metrics that capture individuals'
exposures to active, idle, and capped wells, by time, distance, and production volume, as well as flaring
events. Second, we will integrate those exposures with other neighborhood-level measures of socioeconomic
status (from the US Census Bureau) and environment burden (from CalEnviroScreen). Third, we will
characterize the real-world exposure distribution of oil and gas wells and production over time and across CTS
participant subgroups of interest. These summary data and data visualizations will provide the specific and
detailed data researchers need to accelerate their planning and future research. We will also conduct a proof-
of-concept project by comparing respiratory-related emergency department visit patterns among participants
who were exposed vs. unexposed to oil and gas wells. The CTS is an ideal setting in which to generate these
novel data that can accelerate research on climate change. All of these data and resources will be openly
available to researchers everywhere via the secure, user-friendly, and cloud-based CTS Researcher Platform.
These data will enable a broad range of research that can quantify the effects of oil and gas production
exposure on numerous disease endpoints; evaluate the potential interactions between these exposures and
other aspects of the built and natural environment; and assess the potential impacts of past and future
changes in exposure, such as when well production is paused or permanently ended. These data will position
the CTS to support a broad range of hypothesis-driven population-sciences research on how oil and gas
production affects human health and influences the impact of climate change on human health.
项目摘要/摘要
石油和天然气行业产生的温室气体占全球温室气体总量的一半。地面上,当地的石油和天然气
生产会造成无数的暴露,可能会增加患哮喘和癌症的风险,以及肝脏的风险。
免疫性和神经性疾病。数百万加州居民在活跃的石油和天然气附近生活、工作和玩耍
因为州政府不要求这些水井之间的最小距离&学校、住宅、公园、
或者工作场所。暴露在油气井中是复杂和动态的,但很少有研究包括广度和
充分评估当代健康影响或了解未来变化所需的数据深度。这个
加州教师研究(CTS)是一个前瞻性观察队列,跟踪调查了N=133,477名成年人
自1995-1996年以来,几乎所有居住在加利福尼亚州的妇女都一直生活在那里。我们建议创建详细的、
关于CTS参与者在CTS后续行动期间接触油井和气井的个人数据。首先,我们将使用
加州保护地质部提供的加州所有油气井的详细数据
能源管理司(CalGEM)全州油井跟踪系统(Wellstar)和Enverus,a
维护所有油气井钻井的国家数据库的商业服务,识别谁是
暴露在油气井现场。我们将创建依赖于时间的曝光指标,以捕获个人的
暴露在活动井、闲置井和封顶井中,按时间、距离和产量以及燃烧情况
事件。其次,我们将把这些风险暴露与社区层面的其他社会经济措施结合起来
状况(来自美国人口普查局)和环境负担(来自CalEnviroScreen)。第三,我们将
描述油气井和产量随时间和跨CTS的真实暴露分布
感兴趣的参与者子组。这些汇总数据和数据可视化将提供具体和
详细的数据研究人员需要加快他们的规划和未来的研究。我们还将进行一项证明-
通过比较参与者中与呼吸相关的急诊科就诊模式的概念项目
暴露在油气井中的人和没有暴露在油气井中的人。CTS是生成这些信息的理想环境
可以加快气候变化研究的新数据。所有这些数据和资源都将公开
通过安全、用户友好且基于云的CTS研究人员平台,可供世界各地的研究人员使用。
这些数据将使能够量化石油和天然气生产影响的广泛研究成为可能
暴露在许多疾病终点上;评估这些暴露和
建筑和自然环境的其他方面;以及评估过去和未来的潜在影响
暴露的变化,例如当油井生产暂停或永久结束时。这些数据将定位
CTS将支持广泛的假设驱动的人口科学研究,即石油和天然气如何
生产影响人类健康,影响气候变化对人类健康的影响。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Rare Cancer Opportunity.
罕见的癌症机会。
- DOI:10.1158/1055-9965.epi-21-0427
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:LaceyJr,JamesV
- 通讯作者:LaceyJr,JamesV
Zhong et al. Respond to "There's No Place Like Home".
钟等人。
- DOI:10.1093/aje/kwac085
- 发表时间:2022
- 期刊:
- 影响因子:5
- 作者:Zhong,Charlie;Franklin,Meredith;Wang,SophiaS;Longcore,Travis
- 通讯作者:Longcore,Travis
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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:
$ 65.06万 - 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:
$ 65.06万 - 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:
10259758 - 财政年份:2015
- 资助金额:
$ 65.06万 - 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:
$ 65.06万 - 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:
$ 65.06万 - 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:
$ 65.06万 - 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:
$ 65.06万 - 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:
$ 65.06万 - 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:
$ 65.06万 - 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:
$ 65.06万 - 项目类别:
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