The overall goal of the Administrative Core is to provide oversight, coordination, and integration of Center activities.
The Specific Aims are to: 1) Coordinate and integrate the scientific aims of the Projects and Cores, track their progress and outputs, and make adjustments as needed as the activities of the Center progress;2) Conduct resource management planning to assure that Project and Core needs are met;3) Organize meetings of the Project and Core leaders, facilitate interactions and disseminate recommendations by the External Advisory Committee;4) Track the progress and success of Career Development and Community Engagement Plans;and 5) Prepare Center-wide reports, and communicate with NIEHS, EPA, and other participating research, training, and community units or organizations. The Core will operate through an Executive Committee composed of Administrative Core personnel (Core Leader/PI;Core Co-Leader and Pediatric Health Specialist) and Leaders of each of the Projects and Cores. The Administrative Core will ensure coordination of Center activities and plan and assess resource management within and across Cores and Projects. At regularly scheduled meetings, Executive Committee members will track accomplishment of research goals according to the proposed timeline, and review coordination and resource needs across the Projects and Cores, to identify the most efficient use of the infrastructure and communications to resolve needs as they arise. Implementation of the Center's Program Integration plan is a central responsibility of the Administrative Core to capitalize on the synergy potential between Projects, the Environmental Biostatistics Core, and with other Centers and investigators throughout the Michigan Research Corridor (made up of UM, Michigan State, and Wayne State Universities). The Core will interact with the External Advisory Board and other Stakeholders to optimize research and translation outputs. Finally, the Administrative Core will implement a Career Development and Training plan and ensure that these activities are fully integrated with the Center's research projects and Environmental Biostatistics Core Public Health Relevance: The goal of the Administrative Core is to oversee, coordinate and integrate all Center activities in order to ensure realization of specific aims for each of the Research/Pilot Projects and the Environmental Biostatistics Core, integration of Career Development &training with research and active engagement with External and Stakeholder Advisory Groups to promote achievement and translation of Center research.
Our Center's work promises to improve our understanding of a) the contribution of environmental exposures (lead, bisphenol A, and phthalates) toward the etiology of child obesity and sexual maturation;and (b) the role of epigenetic reprogramming in such effects. These insights, in turn, wili create new opportunities for children's risk assessment and disease prevention, diagnosis, and treatment.
|Kochmanski, Joseph; Marchlewicz, Elizabeth H; Savidge, Matthew et al. (2017) Longitudinal effects of developmental bisphenol A and variable diet exposures on epigenetic drift in mice. Reprod Toxicol 68:154-163|
|Sánchez, Brisa N; Kim, Sehee; Sammel, Mary D (2017) Estimators for longitudinal latent exposure models: examining measurement model assumptions. Stat Med 36:2048-2066|
|Yang, Tiffany C; Peterson, Karen E; Meeker, John D et al. (2017) Bisphenol A and phthalates in utero and in childhood: association with child BMI z-score and adiposity. Environ Res 156:326-333|
|Chavarro, Jorge E; Watkins, Deborah J; Afeiche, Myriam C et al. (2017) Validity of Self-Assessed Sexual Maturation Against Physician Assessments and Hormone Levels. J Pediatr 186:172-178.e3|
|Montrose, L; Faulk, C; Francis, J et al. (2017) Perinatal lead (Pb) exposure results in sex and tissue-dependent adult DNA methylation alterations in murine IAP transposons. Environ Mol Mutagen 58:540-550|
|Moynihan, Meghan; Peterson, Karen E; Cantoral, Alejandra et al. (2017) Dietary predictors of urinary cadmium among pregnant women and children. Sci Total Environ 575:1255-1262|
|Anderson, Olivia S; Kim, Jung H; Peterson, Karen E et al. (2017) Novel Epigenetic Biomarkers Mediating Bisphenol A Exposure and Metabolic Phenotypes in Female Mice. Endocrinology 158:31-40|
|Baek, Jonggyu; Sanchez-Vaznaugh, Emma V; Sánchez, Brisa N (2016) Hierarchical Distributed-Lag Models: Exploring Varying Geographic Scale and Magnitude in Associations Between the Built Environment and Health. Am J Epidemiol 183:583-92|
|Zhang, Zhenzhen; O'Neill, Marie S; Sánchez, Brisa N (2016) Using a latent variable model with non-constant factor loadings to examine PM2.5constituents related to secondary inorganic aerosols. Stat Modelling 16:91-113|
|Goodrich, Jaclyn M; Chou, Hwai-Nan; Gruninger, Stephen E et al. (2016) Exposures of dental professionals to elemental mercury and methylmercury. J Expo Sci Environ Epidemiol 26:78-85|
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