Abstract
In the post-genome era, high throughput gene expression profiling has been successfully used to develop genomic biomarker panels (GBP) that can be integrated into clinical decision making. The development of GBPs in the context of personalized medicine is a scientifically challenging and resource-intense process. It needs to be accomplished in a systematic phased approach to address biological variation related to a clinical phenotype (e.g. disease etiology, gender, etc.) and minimize technical variation (noise). Here we present the methodological aspects of GBP development based on the experience of the Cardiac Allograft Rejection Gene Expression Observation (CARGO) study, a study that lead to the development of a molecular classifier for rejection screening in heart transplant patients.
Keywords: Post-genome era, genomics, gene expression profiling, biomarker panels, molecular classifier, heart transplantation, multiorgan dysfunction, personalized medicine
Current Genomics
Title:Challenges and Solutions in the Development of Genomic Biomarker Panels: A Systematic Phased Approach
Volume: 13 Issue: 4
Author(s): K. Shahzad, A. Fatima, M. Cadeiras, N. Wisniewski, G. Bondar, R. Cheng, E. Reed and M. C. Deng
Affiliation:
Keywords: Post-genome era, genomics, gene expression profiling, biomarker panels, molecular classifier, heart transplantation, multiorgan dysfunction, personalized medicine
Abstract: In the post-genome era, high throughput gene expression profiling has been successfully used to develop genomic biomarker panels (GBP) that can be integrated into clinical decision making. The development of GBPs in the context of personalized medicine is a scientifically challenging and resource-intense process. It needs to be accomplished in a systematic phased approach to address biological variation related to a clinical phenotype (e.g. disease etiology, gender, etc.) and minimize technical variation (noise). Here we present the methodological aspects of GBP development based on the experience of the Cardiac Allograft Rejection Gene Expression Observation (CARGO) study, a study that lead to the development of a molecular classifier for rejection screening in heart transplant patients.
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Shahzad K., Fatima A., Cadeiras M., Wisniewski N., Bondar G., Cheng R., Reed E. and C. Deng M., Challenges and Solutions in the Development of Genomic Biomarker Panels: A Systematic Phased Approach, Current Genomics 2012; 13 (4) . https://dx.doi.org/10.2174/138920212800793339
DOI https://dx.doi.org/10.2174/138920212800793339 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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