The goal of this training program is to train biostatisticians to take a leadership role in developing new interdisciplinary scientific research. This will be achieved by providing rigorous training in the disciplines of statistics and microbiology, and also providing interdisciplinary training in bioinformatics. This training program will provide a structure that will strengthen existing collaborations, and train a new generation of biostatisticians to advance biomedical and clinical research. It will support PhD training in biostatistical theory and associated evolving statistical methodologies related to basic biomedical research including microbiology, infectious diseases and bioinformatics. Key to our approach is that trainees in the PhD program in Biostatistics, or in a concentration of the PhD program in Statistics which specializes in biostatistics, will be required to undertake: 1) a common core of course work in general microbiology in year 1, including a laboratory component;2) course work with computer laboratory in statistical methods for bioinformatics and a seminar in statistics in microbiology, in either year 1 or year 2;and 3) two summer laboratory rotations. The laboratory rotation at the end of year 1 will be in a microbiology laboratory, and in year 2 will be either in the same microbiology laboratory, in a different microbiology laboratory, or in a bioinformatics computer laboratory, or in a genomics laboratory combining computational biology and bioinformatics with biology. The choice of rotations will depend on the trainee's evolving interests. Additional laboratory rotations and courses in microbiology, infectious diseases and bioinformatics are available and rotations and co-mentors have been identified in these areas. Graduate students and postdoctoral trainees in Microbiology will be involved as peer-mentors and laboratory mentors. PhD students in microbiology, or a closely related program, will be eligible for 1 year of support to pursue training in biostatistics to further their thesis research. For statistics and biostatistics PhD trainees, thesis advisors will be from the Department of Biostatistics and the Department of Statistics &Actuarial Science, and co-advisors will be from the Department of Microbiology, Division of Infectious Diseases, Center for Bioinformatics and Computational Biology, and the Center for Comparative Genomics. The 25 core faculty members consist of 16 statistical scientists and 9 biological scientists who are all firmly committed to this collaboration and program. At least 2 new trainees will be recruited in each of the 5 years of the grant.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM077973-05
Application #
7842601
Study Section
Special Emphasis Panel (ZGM1-BRT-6 (BS))
Program Officer
Gaillard, Shawn R
Project Start
2006-08-01
Project End
2011-07-31
Budget Start
2010-07-01
Budget End
2011-07-31
Support Year
5
Fiscal Year
2010
Total Cost
$92,799
Indirect Cost
Name
University of Iowa
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
062761671
City
Iowa City
State
IA
Country
United States
Zip Code
52242
Zhang, Jingyang; Chaloner, Kathryn; McLinden, James H et al. (2013) Bayesian analysis and classification of two enzyme-linked immunosorbent assay tests without a gold standard. Stat Med 32:4102-17
Porter, Aaron T; Oleson, Jacob J (2013) A path-specific SEIR model for use with general latent and infectious time distributions. Biometrics 69:101-8
Winokur, Patricia L; Chaloner, Kathryn; Doern, Gary V et al. (2013) Safety and immunological outcomes following human inoculation with nontypeable Haemophilus influenzae. J Infect Dis 208:728-38
Willett, Jonathan W; Tiwari, Nitija; Müller, Susanne et al. (2013) Specificity residues determine binding affinity for two-component signal transduction systems. MBio 4:e00420-13
Willett, Jonathan W; Kirby, John R (2012) Genetic and biochemical dissection of a HisKA domain identifies residues required exclusively for kinase and phosphatase activities. PLoS Genet 8:e1003084
Polgreen, P M; Sparks, J D; Polgreen, L A et al. (2012) A statewide outbreak of Cryptosporidium and its association with the distribution of public swimming pools. Epidemiol Infect 140:1439-45
Thoendel, Matthew; Kavanaugh, Jeffrey S; Flack, Caralyn E et al. (2011) Peptide signaling in the staphylococci. Chem Rev 111:117-51
Gode-Potratz, Cindy J; Kustusch, Ryan J; Breheny, Patrick J et al. (2011) Surface sensing in Vibrio parahaemolyticus triggers a programme of gene expression that promotes colonization and virulence. Mol Microbiol 79:240-63
Willett, Jonathan W; Kirby, John R (2011) CrdS and CrdA comprise a two-component system that is cooperatively regulated by the Che3 chemosensory system in Myxococcus xanthus. MBio 2:
Weiss, Kayla A; Christiaansen, Allison F; Fulton, Ross B et al. (2011) Multiple CD4+ T cell subsets produce immunomodulatory IL-10 during respiratory syncytial virus infection. J Immunol 187:3145-54

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