The Molecular and Cellular Characterization of Screen?Detected Lesions ? Coordinating Center and Data Management Group will provide support for the participating studies responding to RFA CA14?10. The coordinating center supports three main domains: network coordination, statistical support and computational analysis and protocol development and database support. Support for communication is provided through an interactive web portal, management of conference calls, and meeting support. The coordinating center also develops protocols and databases for pan network studies. The coordinating center supports analysis of data across the consortium by providing access by researchers to state of the art analytical facilities and software. Cluster computing for next generation analysis, high dimensional analyses and simulations will be supported on the Discovery cluster. Support for bioinformatical analyses will be provided through access to site licenses for user friendly software along with graphical user interfaces that have been and will be built as required by users. Workflows for managing biomarker analysis will be developed using Biodatomics Enterprise software, where possible, because the process is stored and R software support can be directly integrated. Guidelines for the development and application of statistical approaches will be provided by the statistical support through the coordinating center. Database support is provided by the analytical team that has been supporting the Early Detection Research Network in collaboration with the Jet Propulsion Laboratory. Support for the development of protocols will be provided by the Coordinating Center and with additional support from the Dartmouth CTSA.

Public Health Relevance

This grant serves as a coordinating center and data management resource for the Molecular and Cellular Characterization of Screen-Detected Lesions network. The coordinating center is responsible for managing and facilitating communications among network members, providing statistical and computational support to members and for the development of protocols and databases that support research studies across the network.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01CA196386-01
Application #
8928705
Study Section
Special Emphasis Panel ()
Program Officer
Patriotis, Christos F
Project Start
2015-09-01
Project End
2020-08-31
Budget Start
2015-09-01
Budget End
2016-08-31
Support Year
1
Fiscal Year
2015
Total Cost
$483,640
Indirect Cost
$185,097
Name
Dartmouth College
Department
Family Medicine
Type
Schools of Medicine
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Demidenko, Eugene (2017) Exact and Approximate Statistical Inference for Nonlinear Regression and the Estimating Equation Approach. Scand Stat Theory Appl 44:636-665
McAllister, Kimberly; Mechanic, Leah E; Amos, Christopher et al. (2017) Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. Am J Epidemiol 186:753-761
Amos, Christopher I; Dennis, Joe; Wang, Zhaoming et al. (2017) The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. Cancer Epidemiol Biomarkers Prev 26:126-135
Patel, Chirag J; Kerr, Jacqueline; Thomas, Duncan C et al. (2017) Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies. Cancer Epidemiol Biomarkers Prev 26:1370-1380
Frost, H Robert; Amos, Christopher I (2016) Unsupervised gene set testing based on random matrix theory. BMC Bioinformatics 17:442
Qian, David C; Han, Younghun; Byun, Jinyoung et al. (2016) A Novel Pathway-Based Approach Improves Lung Cancer Risk Prediction Using Germline Genetic Variations. Cancer Epidemiol Biomarkers Prev 25:1208-15