The Biostatistics Facility Core (BFC) provides statistical support for planned and ongoing research projects in environmental health sciences (EHS) by Center investigators, including pilot projects and projects related to Center initiatives. Specifically, BFC members: 1. Review research protocols from Center investigators who are requesting research grants or extramural support. In this capacity, members ofthe BFC assist in the development of study design, carry out sample size (power) calculations, and review proposed statistical methods. 2. Provide bioinformatics support to Center investigators. BFC personnel advise Center members on available technologies and bioinformatics resources, and advise on software tools for management and mining of data from gene expression, single nucleotide polymorphism (SNP), sequencing, methylation and other large-scale technologies. 3. Work closely with the IHSFC to provide support for the design and analysis of studies that utilize highvolume genetic approaches, geographical information system (GIS) technologies, and complex exposure assessment methods. 4. Provide an interface between Center investigators and statistical resources. The BFC matches statisticians to investigators so that, to the maximum extent possible. Center projects benefit from statisticians with particular expertise in the areas under investigation. 5. Stimulate collaboration between statisticians and other investigators by providing a focal point for statisticians to discuss issues with investigators from all four research cores. In particular, the BFC provides a natural link between the Study Design and Statistical Methodology Research Core (SDSMRC) and the other research cores. 6. Provide computer support for Center research projects. The BFC maintains a cluster computing system that is accessible to Center investigators. This system provides a central secure repository for storage and sharing of databases, and fast processors for executing computing intensive jobs. The BFC also assists Center investigators in their use of USC's High Performance Computing Cluster (HPCC), a large state-of the-art university-wide computing cluster.

National Institute of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Center Core Grants (P30)
Project #
Application #
Study Section
Environmental Health Sciences Review Committee (EHS)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Southern California
Los Angeles
United States
Zip Code
Cheng, Hank; Davis, David A; Hasheminassab, Sina et al. (2016) Urban traffic-derived nanoparticulate matter reduces neurite outgrowth via TNFα in vitro. J Neuroinflammation 13:19
Zhang, Pingye; Lewinger, Juan Pablo; Conti, David et al. (2016) Detecting Gene-Environment Interactions for a Quantitative Trait in a Genome-Wide Association Study. Genet Epidemiol 40:394-403
Lavinsky, Joel; Ge, Marshall; Crow, Amanda L et al. (2016) The Genetic Architecture of Noise-Induced Hearing Loss: Evidence for a Gene-by-Environment Interaction. G3 (Bethesda) 6:3219-3228
Heck, Julia E; Contreras, Zuelma A; Park, Andrew S et al. (2016) Smoking in pregnancy and risk of cancer among young children: A population-based study. Int J Cancer 139:613-6
Younan, Diana; Tuvblad, Catherine; Li, Lianfa et al. (2016) Environmental Determinants of Aggression in Adolescents: Role of Urban Neighborhood Greenspace. J Am Acad Child Adolesc Psychiatry 55:591-601
Liu, Jie; Siegmund, Kimberly D (2016) An evaluation of processing methods for HumanMethylation450 BeadChip data. BMC Genomics 17:469
Berhane, Kiros; Chang, Chih-Chieh; McConnell, Rob et al. (2016) Association of Changes in Air Quality With Bronchitic Symptoms in Children in California, 1993-2012. JAMA 315:1491-501
Heck, Julia E; Park, Andrew S; Contreras, Zuelma A et al. (2016) Risk of Childhood Cancer by Maternal Birthplace: A Test of the Hispanic Paradox. JAMA Pediatr 170:585-92
Kim, Hyo-Bin; Zhou, Hui; Kim, Jeong Hee et al. (2016) Lifetime prevalence of childhood eczema and the effect of indoor environmental factors: Analysis in Hispanic and non-Hispanic white children. Allergy Asthma Proc 37:64-71
Liu, Qinghai; Babadjouni, Robin; Radwanski, Ryan et al. (2016) Stroke Damage Is Exacerbated by Nano-Size Particulate Matter in a Mouse Model. PLoS One 11:e0153376

Showing the most recent 10 out of 487 publications