This project will support the training of six predoctoral students each year in the area of biostatistics, with an emphasis on applications to modern problems in genomic science. The training combines rigorous coursework in statistical methods and theory, additional courses in bioinformatics and genomic science, and an extensive laboratory training experience. For the latter, trainees will begin as supervised statistical consultants for a matched genomics lab, then over the course of a year progress into active collaborators in one or more lab projects. Most students will be supported for the first three years of their graduate programs. The scientific training will be supplemented with training in the responsible conduct of research developed specifically to meet the needs of researchers in this area. The training involves collaboration among biostatistics, genomics, and philosophy faculty members. An active recruiting plan is described for enhancing the diversity of our training and graduate programs, including a summer program bringing faculty and undergraduate students from minority serving institutions to NC State during the summer to initiate collaborative work with training faculty.

Public Health Relevance

This project will train doctoral students to analyze the biological data that forms the basis of experimentation in public health. The unique aspect of our program is providing students with the necessary skills to analyze and interpret genetic data of the sort that will soon be used for personalized medicine.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM081057-07
Application #
8490394
Study Section
Special Emphasis Panel (ZGM1-BRT-X (TR))
Program Officer
Brazhnik, Paul
Project Start
2007-07-01
Project End
2017-06-30
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
7
Fiscal Year
2013
Total Cost
$217,458
Indirect Cost
$10,613
Name
North Carolina State University Raleigh
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
042092122
City
Raleigh
State
NC
Country
United States
Zip Code
27695
Poorman, Kelsey; Borst, Luke; Moroff, Scott et al. (2015) Comparative cytogenetic characterization of primary canine melanocytic lesions using array CGH and fluorescence in situ hybridization. Chromosome Res 23:171-86
Neely, Megan L; Bondell, Howard D; Tzeng, Jung-Ying (2015) A penalized likelihood approach for investigating gene-drug interactions in pharmacogenetic studies. Biometrics 71:529-37
Zhao, Guolin; Marceau, Rachel; Zhang, Daowen et al. (2015) Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression. Genetics 199:695-710
Jack, John; Havener, Tammy M; McLeod, Howard L et al. (2015) Evaluating the role of admixture in cancer therapy via in vitro drug response and multivariate genome-wide associations. Pharmacogenomics 16:1451-63
Marceau, Rachel; Lu, Wenbin; Holloway, Shannon et al. (2015) A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction. Genet Epidemiol 39:456-68
Wilson, Ander; Reif, David M; Reich, Brian J (2014) Hierarchical dose-response modeling for high-throughput toxicity screening of environmental chemicals. Biometrics 70:237-46
Hertz, Daniel L; Roy, Siddharth; Jack, John et al. (2014) Genetic heterogeneity beyond CYP2C8*3 does not explain differential sensitivity to paclitaxel-induced neuropathy. Breast Cancer Res Treat 145:245-54
Roy, Siddharth; Motsinger Reif, Alison (2013) Evaluation of calling algorithms for array-CGH. Front Genet 4:217
McWhinney-Glass, Sarah; Winham, Stacey J; Hertz, Daniel L et al. (2013) Cumulative genetic risk predicts platinum/taxane-induced neurotoxicity. Clin Cancer Res 19:5769-76
Hertz, D L; Roy, S; Motsinger-Reif, A A et al. (2013) CYP2C8*3 increases risk of neuropathy in breast cancer patients treated with paclitaxel. Ann Oncol 24:1472-8

Showing the most recent 10 out of 20 publications