The University of Washington Department of Environmental and Occupational Health Sciences, with the collaboration of faculty from the Departments of Biostatistics, Epidemiology, Genome Sciences, Medicine, and Pathology, proposes to train biostatisticians and life scientists to develop and apply quantitative methods to the environmental health sciences in the first competing renewal of the Biostatistics, Epidemiologic and Bioinformatic Training in Environmental Health (BEBTEH) training grant. The long-term goal is to develop pre- and postdoctoral trainees into successful independent scientists who will advance environmental health science and improve health for future generations. BEBTEH has two pathways: one population-based and one laboratory-based. The population-based pathway emphasizes statistical methods in environmental epidemiology to elucidate the etiologies of environmentally- related diseases. The laboratory-based pathway focuses on the interpretation of modern genomic data and how they may be exploited to unravel the biological bases of diseases. Both pathways foster a multidisciplinary, collaborative, and interdisciplinary training environment that 1) includes quantitative and applied training objectives, 2) assigns a quantitative and a scientifi mentor to each trainee, 3) involves each trainee in a project that leads to expertise in multiple disciplines necessary to advance environmental health science research, 4) recruits trainees with differing backgrounds to enhance cross-training, and 5) targets training activities to enhance training goals. The investigators propose to continue and improve upon BEBTEH's training of 8 pre-doctoral and 4 postdoctoral trainees, funded since 2009, by fine-tuning its alignment with the 2012 NIEHS Strategic Plan. BEBTEH is directed by Dr. Elizabeth A. (Lianne) Sheppard and is overseen by an Executive Committee comprised of Drs. Bruce Weir, Sverre Vedal, Harvey Checkoway, and David Eaton. It has close ties with multiple NIEHS- and sister agency-funded Research Centers and projects, thus providing trainees with access to a first class research environment. Although it is only four years old, BEBTEH is beginning to demonstrate an excellent training track record. The Program contributes to the NIEHS vision through its focus on quantitative training for the next generation of environmental health science leaders.

Public Health Relevance

The adverse impact of environmental exposures on health is a deep public health concern that can be mitigated through training of the next generation of leaders in quantitative and environmental health sciences. BEBTEH offers a unique blend of interdisciplinary quantitative and environmental health science training opportunities in first clas research environment. The proposed Training Program will help realize the vision of the 2012 NIEHS Strategic Plan to provide global leadership for innovative research that improves public health by preventing diseases and disability.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
2T32ES015459-06
Application #
8664733
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Shreffler, Carol K
Project Start
2007-07-01
Project End
2019-06-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
6
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Washington
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
City
Seattle
State
WA
Country
United States
Zip Code
98195
Cook, Travis J; Hoekstra, Jake G; Eaton, David L et al. (2016) Mortalin is Expressed by Astrocytes and Decreased in the Midbrain of Parkinson's Disease Patients. Brain Pathol 26:75-81
Kim, Sun-Young; Sheppard, Lianne; Bergen, Silas et al. (2016) Prediction of fine particulate matter chemical components with a spatio-temporal model for the Multi-Ethnic Study of Atherosclerosis cohort. J Expo Sci Environ Epidemiol 26:520-8
Wang, Meng; Sampson, Paul D; Hu, Jianlin et al. (2016) Combining Land-Use Regression and Chemical Transport Modeling in a Spatiotemporal Geostatistical Model for Ozone and PM2.5. Environ Sci Technol 50:5111-8
Kim, Sun-Young; Olives, Casey; Sheppard, Lianne et al. (2016) Historical Prediction Modeling Approach for Estimating Long-Term Concentrations of PM2.5 in Cohort Studies before the 1999 Implementation of Widespread Monitoring. Environ Health Perspect :
Peter, Beate; Wijsman, Ellen M; Nato Jr, Alejandro Q et al. (2016) Genetic Candidate Variants in Two Multigenerational Families with Childhood Apraxia of Speech. PLoS One 11:e0153864
Riley, Erin A; Gould, Timothy; Hartin, Kris et al. (2016) Ultrafine particle size as a tracer for aircraft turbine emissions. Atmos Environ (1994) 139:20-29
Kim, Daniel Seung; Kim, Jerry H; Burt, Amber A et al. (2016) Burden of potentially pathologic copy number variants is higher in children with isolated congenital heart disease and significantly impairs covariate-adjusted transplant-free survival. J Thorac Cardiovasc Surg 151:1147-51.e4
Spalt, Elizabeth W; Curl, Cynthia L; Allen, Ryan W et al. (2016) Time-location patterns of a diverse population of older adults: the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). J Expo Sci Environ Epidemiol 26:349-55
Baker, Marissa G; Stover, Bert; Simpson, Christopher D et al. (2016) Using exposure windows to explore an elusive biomarker: blood manganese. Int Arch Occup Environ Health 89:679-87
Ljungman, Petter L; Wilker, Elissa H; Rice, Mary B et al. (2016) The Impact of Multipollutant Clusters on the Association Between Fine Particulate Air Pollution and Microvascular Function. Epidemiology 27:194-201

Showing the most recent 10 out of 78 publications