Environmental health research, whether involving experiments at the cellular level, investigations using laboratory animals, or studies of human populations, is becoming increasingly complex. There are several reasons for this added complexity. The valid quantification of human exposures to environmental hazards requires consideration of complicated time-dependent individual-specific multiple exposure profiles. Assessment of early biologic effects (e.g., biomarkers) requires elucidation of how these exposure profiles relate to multiple, intermediate, and often correlated endpoints. Assessment of exposure-disease relationships requires knowledge of the connections between exposure, early biological effects, and multiple correlated health outcomes. The further necessity of simultaneously considering the impact of gene-environment interactions and molecular-level mechanisms argues strongly for the use of innovative, well-designed, and appropriately analyzed environmental health research studies to insure the validity and precision of scientific conclusions. Such validity and precision requirements mandate that biostatisticians and bioinformaticians be involved as active research collaborators from the planning stages of environmental health studies through final analyses and dissemination of research conclusions via presentations and publications. Without state-of-the-art input from biostatisticians on study design and data analysis, there is no question that environmental health research studies can be severely biased and can suffer from a lack of sufficient precision to detect important exposure-response relationships. The Biostatistics and Bioinformatics Facility Core (BBFC) provides the CEHS with the needed expertise to apply state-of-the-art statistical methods to the design and analysis of all types of environmental health research studies, ranging from laboratory study design, analysis of multidimensional gene by environment interactions, and quantification of complex time-dependent exposures. BBFC personnel have expertise in essentially all state-of-the-art statistical methods required to address the most complex of study design and data analysis issues. It is fair to say that the CEHS cannot function effectively without making continued use of the BBFC, from study planning through data analysis and interpretation. It is an efficient and cost-effective allocation of resources to assign these important statistical design and data analysis activities to the BBFC. In the sections to follow, detailed descriptions of BBFC (formerly the Biostatitics and Epidemiological Methods Facility Core, or BEMFC) activities since April 2006 will be given. In particular, important functional changes will be highlighted, BBFC members and their unique expertise will be detailed, involvements of BBFC members in CEHS pilot and research projects will be described, and BBFC enrichment activities will be mentioned.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Center Core Grants (P30)
Project #
5P30ES010126-12
Application #
8376570
Study Section
Environmental Health Sciences Review Committee (EHS)
Project Start
Project End
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
12
Fiscal Year
2012
Total Cost
$126,255
Indirect Cost
$40,948
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Marks, Daniel L; Blackmon, Richard L; Oldenburg, Amy L (2018) Diffusion tensor optical coherence tomography. Phys Med Biol 63:025007
Sarnowski, ChloƩ; Kavousi, Maryam; Isaacs, Steve et al. (2018) Genetic variants associated with earlier age at menopause increase the risk of cardiovascular events in women. Menopause 25:451-457
Kelley, Dannielle E; Boynton, Marcella H; Noar, Seth M et al. (2018) Effective Message Elements for Disclosures About Chemicals in Cigarette Smoke. Nicotine Tob Res 20:1047-1054
Doherty, Brett T; Hoffman, Kate; Keil, Alexander P et al. (2018) Prenatal exposure to organophosphate esters and cognitive development in young children in the Pregnancy, Infection, and Nutrition Study. Environ Res 169:33-40
Isom, Daniel G; Page, Stephani C; Collins, Leonard B et al. (2018) Coordinated regulation of intracellular pH by two glucose-sensing pathways in yeast. J Biol Chem 293:2318-2329
Wang, Ting; Wang, Xiaofei; Zhou, Haibo et al. (2018) Auxiliary variable-enriched biomarker-stratified design. Stat Med 37:4610-4635
Pan, Yinghao; Cai, Jianwen; Longnecker, Matthew P et al. (2018) Secondary outcome analysis for data from an outcome-dependent sampling design. Stat Med 37:2321-2337
Taylor, Kyla W; Troester, Melissa A; Herring, Amy H et al. (2018) Associations between Personal Care Product Use Patterns and Breast Cancer Risk among White and Black Women in the Sister Study. Environ Health Perspect 126:027011
Chiong, Charlotte M; Reyes-Quintos, Ma Rina T; Yarza, Talitha Karisse L et al. (2018) The SLC26A4 c.706C>G (p.Leu236Val) Variant is a Frequent Cause of Hearing Impairment in Filipino Cochlear Implantees. Otol Neurotol 39:e726-e730
Ryan, Calen P; Hayes, M Geoffrey; Lee, Nanette R et al. (2018) Reproduction predicts shorter telomeres and epigenetic age acceleration among young adult women. Sci Rep 8:11100

Showing the most recent 10 out of 1900 publications