Abstract

This 5-year program is designed to train predoctoral (Ph.D.) and postdoctoral students in statistical genomics with the major emphasis in cancer genomics. The goal is to train biostatisticians in the biology, etiology, and genetics of cancer, as well as to train them to conduct state-of-the-art biostatistical methodologic research relevant to the genomics of cancer as well as in related areas of genomics. The goal is to also produce biostatisticians who can collaborate with other scientific researchers and oncologists on research issues related to genomics and cancer. The typical predoctoral trainee will be a college graduate or masters level graduate with an excellent academic record appropriate for this training area. The typical postdoctoral trainee will have highly relevant doctoral training in statistics, biostatistics, or related areas. Funding is requested for the support of 5 predoctoral trainees and 2 post-doctoral trainees. The Department of Biostatistics at UNC is one of the largest in the world, and has highly qualified personnel and the available facilities to provide the most comprehensive predoctoral and postdoctoral training in this research area. Several members of the Carolina Center for Genome Sciences (CCGS) will be deeply involved in all phases of this training program and will play an integral role in this training program.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Institutional National Research Service Award (T32)
Project #
5T32CA106209-02
Application #
6890995
Study Section
Subcommittee G - Education (NCI)
Program Officer
Eckstein, David J
Project Start
2004-05-01
Project End
2009-04-30
Budget Start
2005-05-01
Budget End
2006-04-30
Support Year
2
Fiscal Year
2005
Total Cost
$299,535
Indirect Cost

  Institution

Name
University of North Carolina Chapel Hill
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599

  Publications

Ankerst, Donna P; Goros, Martin; Tomlins, Scott A et al. (2018) Incorporation of Urinary Prostate Cancer Antigen 3 and TMPRSS2:ERG into Prostate Cancer Prevention Trial Risk Calculator. Eur Urol Focus :
O'Brien, Jonathon J; Gunawardena, Harsha P; Qaqish, Bahjat F (2018) Row versus column correlations: avoiding the ecological fallacy in RNA/protein expression studies. Brief Bioinform 19:946-953
O'Brien, Jonathon J; Gunawardena, Harsha P; Paulo, Joao A et al. (2018) The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments. Ann Appl Stat 12:2075-2095
Bower, Jacquelyn J; Vance, Leah D; Psioda, Matthew et al. (2017) Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cells. NPJ Breast Cancer 3:9
Qaqish, Bahjat F; O'Brien, Jonathon J; Hibbard, Jonathan C et al. (2017) Accelerating high-dimensional clustering with lossless data reduction. Bioinformatics 33:2867-2872
Lee, Clara Nan-Hi; Deal, Allison M; Huh, Ruth et al. (2017) Quality of Patient Decisions About Breast Reconstruction After Mastectomy. JAMA Surg 152:741-748
Bryant, Christopher; Zhu, Hongtu; Ahn, Mihye et al. (2017) LCN: a random graph mixture model for community detection in functional brain networks. Stat Interface 10:369-378
Carson, Johnny L; Zhou, Laura; Brighton, Luisa et al. (2017) Temporal structure/function variation in cultured differentiated human nasal epithelium associated with acute single exposure to tobacco smoke or E-cigarette vapor. Inhal Toxicol 29:137-144
Smith, Ikuko T; Townsend, Leah B; Huh, Ruth et al. (2017) Stream-dependent development of higher visual cortical areas. Nat Neurosci 20:200-208
Wood, William A; McGinn, Margaret K; Wilson, Doug et al. (2016) Practice Patterns and Preferences Among Hematopoietic Cell Transplantation Clinicians. Biol Blood Marrow Transplant 22:2092-2099

Showing the most recent 10 out of 48 publications