The Administrative Core promotes intellectual activities, organization of venues for planning future research through seminars and retreats, and oversight of research and spending. This Core also provides the tools to work with institutions inside and outside of Harvard School of Public Health to leverage the potential of the Superfund Basic Research Program to translate the findings of our research and to promote research on mixtures, gene-environment interactions, and the movement of metals in the environment.
The specific aims of the Administrative Core are to:
Aim 1. Research. To monitor research progress, coordinate Internal Advisory Committee (Governance Committee) meetings, and foster collaborative research both within the SBRP Program and among other Harvard affiliated institutions and collaborative institutions, such as MIT Aim 2. Communication. To foster communication between the Harvard SBRP and SBRP programs within EPA Region 1 (Dartmouth, Brown, Boston University) and agencies such as EPA, ATSDR and the Pediatric Environmental Health Subspecialty Units (PEHSUs), and to maintain close communication with the National Institute of Environmental Health Sciences Aim 3. To provide necessary resources and fiscal oversight Aim 4. To promote rapid dissemination of significant research findings Aim 5. Compliance. To ensure compliance with NIH requirements for data and resource-sharing and the human and animal institutional review board requirements

Public Health Relevance

Core A, under Dr. Wright, will provide scientific leadership, insuring coordination and integration among projects and cores. Core A will provide administrative leadership directing the administration of research funds and maintaining compliance with all relevant federal regulations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
5P42ES016454-03
Application #
8377625
Study Section
Special Emphasis Panel (ZES1-LWJ-M)
Project Start
Project End
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
3
Fiscal Year
2012
Total Cost
$250,383
Indirect Cost
$86,075
Name
Harvard University
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
von Stackelberg, Katherine; Li, Miling; Sunderland, Elsie (2017) Results of a national survey of high-frequency fish consumers in the United States. Environ Res 158:126-136
Valeri, Linda; Mazumdar, Maitreyi M; Bobb, Jennifer F et al. (2017) The Joint Effect of Prenatal Exposure to Metal Mixtures on Neurodevelopmental Outcomes at 20-40 Months of Age: Evidence from Rural Bangladesh. Environ Health Perspect 125:067015
Wagner, Peter J; Park, Hae-Ryung; Wang, Zhaoxi et al. (2017) In Vitro Effects of Lead on Gene Expression in Neural Stem Cells and Associations between Up-regulated Genes and Cognitive Scores in Children. Environ Health Perspect 125:721-729
Claus Henn, Birgit; Bellinger, David C; Hopkins, Marianne R et al. (2017) Maternal and Cord Blood Manganese Concentrations and Early Childhood Neurodevelopment among Residents near a Mining-Impacted Superfund Site. Environ Health Perspect 125:067020
Sun, Ryan; Carroll, Raymond J; Christiani, David C et al. (2017) Testing for gene-environment interaction under exposure misspecification. Biometrics :
Lee, Jane J; Kapur, Kush; Rodrigues, Ema G et al. (2017) Anthropometric measures at birth and early childhood are associated with neurodevelopmental outcomes among Bangladeshi children aged 2-3years. Sci Total Environ 607-608:475-482
Rahman, Mohammad L; Valeri, Linda; Kile, Molly L et al. (2017) Investigating causal relation between prenatal arsenic exposure and birthweight: Are smaller infants more susceptible? Environ Int 108:32-40
Tamayo Y Ortiz, Marcela; Téllez-Rojo, Martha María; Trejo-Valdivia, Belem et al. (2017) Maternal stress modifies the effect of exposure to lead during pregnancy and 24-month old children's neurodevelopment. Environ Int 98:191-197
Maziarz, Marlena; Heagerty, Patrick; Cai, Tianxi et al. (2017) On longitudinal prediction with time-to-event outcome: Comparison of modeling options. Biometrics 73:83-93
Wang, Zhaoxi; Claus Henn, Birgit; Wang, Chaolong et al. (2017) Genome-wide gene by lead exposure interaction analysis identifies UNC5D as a candidate gene for neurodevelopment. Environ Health 16:81

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