4.1 Article

Omics-based Medicine and Systems Pathology A New Perspective for Personalized and Predictive Medicine

Journal

METHODS OF INFORMATION IN MEDICINE
Volume 49, Issue 2, Pages 173-185

Publisher

GEORG THIEME VERLAG KG
DOI: 10.3414/ME9307

Keywords

Omics-based medicine; systems pathology; genomics; omics; pharmacogenomics

Funding

  1. Ministry of Education, Culture, Sports, Science and Technology of Japan

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Objectives: Recent important advances in the human genomics and post-genomic omics are now bringing about a new medical care which we call omics-based medicine. In this article, we investigated the development and future possibilities of omics-based medicine. Methods: We divided the development of omics-based medicine into three generations in order to clarify the main clinical goals and characteristics of informatics method of each generation, together with its future possibilities. Results: The first generation of omics-based medicine started with genomic medicine based on the inborn individual differences of genome. It has opened the study of genetic polymorphism of the diseases and promoted the personalized medication based on the pharmacogenetic/pharmacogenomic difference of the drug response. In the second generation of omics-based medicine, owing to the advances in the high-throughput technology, vast amount of the various post-genomic disease omics data containing comprehensive molecular information of diseased somatic cells has become available. It reflects the ongoing state of diseases more closely and enables the predictive medicine such as prognosis prediction of disease by applying the data-driven analysis. Finally, due to the rapidly growing knowledge about the cellular molecular network, system-level understanding of the disease, called systems pathology, becomes possible. It can fully exploit the substantial contents of disease omics and will lead to a comprehensive understanding of disease process by using model-driven analysis. Conclusion: Omics-based medicine and systems pathology will realize a new personalized and predictive medicine.

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