Bioinformatics linkage of heterogeneous clinical and genomic information in support of personalized medicine

Update item information
Publication Type pre-print
School or College School of Medicine
Department Biomedical Informatics
Creator Mitchell, Joyce A.
Other Author Frey, L. J.; Maojo, V.
Title Bioinformatics linkage of heterogeneous clinical and genomic information in support of personalized medicine
Date 2007-01-01
Description Objectives: Biomedical Informatics as a whole faces a difficult epistemological task, since there is no foundation to explain the complexities of modeling clinical medicine and the many relationships between genotype, phenotype, and environment. This paper discusses current efforts to investigate such relationships, intended to lead to better diagnostic and therapeutic procedures and the development of treatments that could make personalized medicine a reality. Methods: To achieve this goal there are a number of issues to overcome. Primary are the rapidly growing numbers of heterogeneous data sources which must be integrated to support personalized medicine. Solutions involving the use of domain driven information models of heterogeneous data sources are described in conjunction with controlled ontologies and terminologies. A number of such applications are discussed. Results: Researchers have realized that many dimensions of biology and medicine aim to understand and model the informational mechanisms that support more precise clinical diagnostic, prognostic and therapeutic procedures. As long as data grows exponentially, novel Biomedical Informatics approaches and tools are needed to manage the data. Although researchers are typically able to manage this information within specific, usually narrow contexts of clinical investigation, novel approaches for both training and clinical usage must be developed. Conclusion: After some preliminary overoptimistic expectations, it seems clear now that genetics alone cannot transform medicine. In order to achieve this, heterogeneous clinical and genomic data source must be integrated in scientifically meaningful and productive systems. This will include hypothesis-driven scientific research systems along with well understood information systems to support such research. These in turn will enable the faster advancement of personalized medicine.
Type Text
Publisher Schattauer
First Page 98
Last Page 105
Dissertation Institution University of Utah
Language eng
Bibliographic Citation Frey, L. J., Maojo, V., & Mitchell, J. A. (2007). Bioinformatics linkage of heterogeneous clinical and genomic information in support of personalized medicine. Yearbook of Medical Informatics, 98-105.
Rights Management (c) Schattauer
Format Medium application/pdf
Format Extent 170,051 bytes
Identifier uspace,17842
ARK ark:/87278/s6j10mxc
Setname ir_uspace
Date Created 2012-09-24
Date Modified 2012-09-25
ID 708147
Reference URL https://collections.lib.utah.edu/ark:/87278/s6j10mxc
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