The primary goal of this project is to develop and evaluate new statistical methodology for cell- type-specific analysis of genomic data, discerning intratumor heterogeneity (ITH), and joint modeling of multivariate longitudinal and time-to-event data. The proposed three aims, each having two sub-aims, have major clinical relevance and have potential for major clinical impact. The proposed three aims present a unified approach within the joint modeling framework for mixed types of genomic data, longitudinal biomarkers, and time-to-event data for a better understanding of epigenome-wide associations, intratumor heterogeneity, and associations between genomic and/or longitudinal biomarkers and time-to-event outcomes useful in cancer research. All findings are preliminary and no manuscripts have been published on any of the proposed aims thus far. The overall unifying theme of this project is to develop novel statistical methods with clinical import to better understand genomic data and to assess important genomic and longitudinal biomarkers for the analysis and planning of screening regimens, clinical trials, and to better understand the etiology of the disease.

Public Health Relevance

The primary goal of this project is to develop and evaluate new statistical methodology for cell- type-specific analysis of genomic data, discerning intra-tumor heterogeneity (ITH), and joint modeling of multivariate longitudinal and time-to-event data. The overall unifying theme of this project is to develop novel statistical methods with clinical import to better understand genomic data and to assess important genomic and longitudinal biomarkers for the analysis and planning of screening regimens, clinical trials, and to better understand the etiology of the disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM070335-18
Application #
9306864
Study Section
Biostatistical Methods and Research Design Study Section (BMRD)
Program Officer
Brazhnik, Paul
Project Start
1996-03-01
Project End
2020-06-30
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
18
Fiscal Year
2017
Total Cost
Indirect Cost
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
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