Powering Research Through Innovative Methods for Mixtures in Epidemiology (PRIME) Program Meeting
PRIME Program Meeting
October 14, 2020
9:00 a.m. - 5:00 p.m. EDT
Environmental health studies tend to evaluate potential health effects one chemical at a time, but in reality, people are exposed to a mixture of chemicals every day. Studying a chemical mixture requires evaluating the effects of individual chemicals within the mixture, interactions among those chemicals, and the combined effect the mixture may have on human health.
Given this complexity, scientists need improved and innovative statistical methods to understand how exposure to real-world chemical mixtures may affect human health.
Building on the historical efforts of the NIEHS Mixtures Program and previous workshops, NIEHS created the Powering Research through Innovative Methods for mixtures in Epidemiology (PRIME) program, launching a funding opportunity in 2017 (RFA ES 17-001). Projects supported through PRIME will develop innovative statistical methods that incorporate toxicological information into statistical models.
PRIME encourages team science. Experts in epidemiology, biostatistics, toxicology, data science, informatics, and related fields are working together to develop and compare novel approaches, which may involve simulated, shared data, as well as real-world applications to human study populations.
The expected outcomes of PRIME include:
- Improving quantitative methods to better understand the complex relationships between environmental exposures and health outcomes.
- Stimulating new interdisciplinary methods for mixtures research in epidemiology.
- Comparing existing and new approaches to identify the strengths and weaknesses across methods for various exposure and disease contexts.
- Developing informatics tools and related software for broad implementation of methods.
- Providing resources for the research community including publications, webinars, example datasets, and training.
Funded PRIME Projects
PRIME grantees study how exposure to mixtures of metals, pesticides, endocrine disrupting chemicals, persistent organic pollutants, and air pollution affect health. Some researchers will also examine how non-chemical exposures, like stress and nutrition, may amplify or protect against the adverse health effects of a chemical mixture.
PRIME projects will develop novel statistical approaches that:
- Enable research to discover the biological pathways that link an exposure to a disease.
- Determine which exposures within a mixture are most harmful, and how the mixture as a whole influences health.
- Incorporate information on chemical toxicity to provide biological context for exposures.
- Integrate the timing of exposures such as critical windows of development when individuals are more susceptible to exposures.
- Share and leverage datasets capturing variability in exposures and outcomes across space, time, and populations.
Importantly, PRIME researchers share their newly developed statistical methods and software with the wider environmental health science research community to help advance mixtures research.
The NIH RePORTER link lists all publications acknowledging a PRIME R01 as a funding source, but not all publications will be specific to the PRIME R01 aims.
Software and Shared Datasets
The PRIME GitHub site includes shared software in development, or previously developed and utilized, or expanding in a PRIME project. The GitHub also includes shared public and simulated datasets used for PRIME methods development.
Bonnie R. Joubert, Ph.D.
Health Scientist Administrator
P.O. Box 12233Mail Drop K3-12Durham, N.C. 27709
Toccara A. Chamberlain
P.O. Box 12233Mail Drop K3-04Durham, N.C. 27709
Grants Management Officer
San Diego, CA 92128
Leroy Worth Jr, Ph.D.
Scientific Review Officer
P.O. Box 12233Mail Drop K3-03Durham, N.C. 27709