Human Health Exposure Analysis Resource (HHEAR) Data Center
Human Health Exposure Analysis Resource (HHEAR) Data Center
批准号:
10873509
负责人:
SUSAN L TEITELBAUM
金额:
$9.87万
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:
2015-09-30 至 2024-05-31
关键词:
AccelerationBiologicalBiological MarkersChildChild DevelopmentChild HealthCollaborationsCommunitiesConsultationsDataData AnalysesData Coordinating CenterDevelopmentEnsureEnvironmentEnvironmental ExposureEnvironmental HealthFundingGoalsHealthHumanInvestmentsLaboratoriesMethodologyOutcomeProcessProductionQuality ControlReportingResearchResearch PersonnelResolutionResourcesSamplingServicesTimeUnited States National Institutes of HealthWorkcohortdata centersdata exchangedata resourcedata science resourcedesignmedical schoolsprogramsquality assurancesuccessworking group
中文摘要
项目摘要
NIH资助了人类健康暴露分析资源(HHEAR),这是一个协调的实验室网络
以及统计和数据科学资源,旨在提供全面的暴露分析
使用在儿童健康研究中收集的生物样本。HHEAR数据中心(DC)位于
位于西奈山的伊坎医学院。美国国立卫生研究院创建了一项为期七年的倡议,即环境
对儿童健康结果的影响(ECHO)计划,目的是将不同的儿童队列
共同组成一个庞大的回声范围队列,以便回声调查人员和更广泛的科学界能够
研究早期环境暴露对儿童健康和发育的影响。以支持Echo的
目标,HHEAR实验室网络已经对队列收集的生物样本进行了广泛的分析
各种环境暴露生物标志物。这些分析的化验结果已上载至
在将结果传输到ECHO之前,HHEAR DC进行质量保证(QA)和质量控制(QC)
数据分析中心(DAC)。此补充应用程序的目的是使HHEAR DC能够
支持超出HHEAR当前工作范围但在HHEAR能力范围内的ECHO活动
华盛顿特区。通过此补充申请,我们将:生成核心样本ID,提供HHEAR审查
实验室结果,包括与实验室就此审查进行协商;执行质量控制和保证
实验室结果;生成实验室结果QC报告;协调数据流支持,以整合实验室
回波数据分析中心。
建议的补充活动是为了提高HHEAR DC的能力,以扩大我们的
最初提议的工作,以适应提供协作、支持所需的额外工作
并向ECHO网络提供服务。本附录将确保HHEAR数据中心能够提供
为ECHO计划的有效工作提供手段,并提供持续的支持,这将有助于
ECHO计划总体上取得了成功。
英文摘要
Project Summary
NIH funded the Human Health Exposure Analysis Resource (HHEAR) a coordinated network of laboratories
and statistical and data science resources, designed to provide access to comprehensive exposure analyses
using biological samples collected in studies of children’s health. The HHEAR Data Center (DC) is located at
the Icahn School of Medicine at Mount Sinai. The NIH created a seven-year initiative, the Environmental
Influences on Child Health Outcomes (ECHO) program with the aim of bringing separate children’s cohorts
together into one large ECHO-wide Cohort so that ECHO investigators and the wider scientific community can
study the effects of early environmental exposures on child health and development. To support ECHO’s
goals, the HHEAR lab network has been analyzing biological samples collected by the cohorts for a wide
variety of environmental exposure biomarkers. The laboratory results from these analyses are uploaded to the
HHEAR DC for quality assurance (QA) and quality control (QC) before the results are transferred to the ECHO
Data Analysis Center (DAC). The purpose of this supplement application is to enable the HHEAR DC to
support the activities of ECHO that are beyond the current work scope of HHEAR but within the abilities of the
DC. Through this supplement application, we will: generate core sample ID’s, provide review of the HHEAR
lab results including consultation with the labs on this review; perform quality control and assurance on the
lab results; produce a lab results QC report; and coordinate data flow support to integrate laboratory
analyses into the ECHO Data Analysis Center.
The proposed supplement activities are needed to increase the ability of the HHEAR DC to extend our
originally proposed work to accommodate the additional work that is required to provide collaboration, support
and services to the ECHO network. This supplement will ensure that the HHEAR Data Center can provide the
means for the efficient working of the ECHO program and provide continued support that will contribute to the
overall success of the ECHO program.
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DOI:
10.3390/ijerph17218151
发表时间:
2020-11-04
期刊:
International journal of environmental research and public health
影响因子:
--
作者:
[Mahabee-Gittens EM, Ammerman RT, Khoury JC, Tabangin ME, Ding L, Merianos AL, Stone L, Gordon JS]
通讯作者:
Gordon JS
DOI:
10.1016/j.envint.2022.107586
发表时间:
2022-12
期刊:
ENVIRONMENT INTERNATIONAL
影响因子:
11.8
作者:
[Yoon, Lara S., Binder, Alexandra M., Pereira, Ana, Calafat, Antonia M., Shepherd, John, Corval, Camila, Michels, Karin B.]
通讯作者:
Michels, Karin B.
Corrigendum to "Extending the Distributed Lag Model framework to handle chemical mixtures" [Environ. Res. 156 (2017) 253-264].
“扩展分布式滞后模型框架以处理化学混合物”的勘误 [Environ。
DOI:
10.1016/j.envres.2017.09.001
发表时间:
2017
期刊:
Environmental research
影响因子:
8.3
作者:
[Bello,GhalibA, Arora,Manish, Austin,Christine, Horton,MeganK, Wright,RobertO, Gennings,Chris]
通讯作者:
Gennings,Chris
DOI:
10.1016/j.envres.2017.12.003
发表时间:
2018-03
期刊:
Environmental research
影响因子:
8.3
作者:
[Claus Henn B, Austin C, Coull BA, Schnaas L, Gennings C, Horton MK, Hernández-Ávila M, Hu H, Téllez-Rojo MM, Wright RO, Arora M]
通讯作者:
Arora M
DOI:
10.1021/acs.analchem.2c00563
发表时间:
2022-10-04
期刊:
ANALYTICAL CHEMISTRY
影响因子:
7.4
作者:
[Baygi, Sadjad Fakouri, Banerjee, Sanjay K., Chakraborty, Praloy, Kumar, Yashwant, Barupal, Dinesh Kumar]
通讯作者:
Barupal, Dinesh Kumar
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