Ostrowski Jerzy, Wyrwicz Lucjan S
Department of Gastroenterology, Maria Skłodowska-Curie Memorial Cancer Center, Institute of Oncology, Warsaw, Poland.
Expert Rev Mol Diagn. 2009 Sep;9(6):623-30. doi: 10.1586/erm.09.41.
Understanding the molecular mechanisms of disease requires the introduction of molecular diagnostics into medical practice. Current medicine employs only elements of molecular diagnostics, which are usually applied on the scale of single genes. Medicine in the postgenomic era will utilize thousands of disease-associated molecular markers provided by high-throughput sequencing and functional genomic, proteomic and metabolomic studies. Such a spectrum of techniques will link clinical medicine based on molecularly oriented diagnostics with the prediction and prevention of disease. To achieve this task, large-scale and genome-wide biological and medical data must be combined with biostatistical and bioinformatic analyses to model biological systems. Collecting, cataloging and comparing data from molecular studies, and the subsequent development of conclusions, creates the fundamentals of systems biology. This highly complex analytical process reflects a new scientific paradigm known as integrative genomics.
了解疾病的分子机制需要将分子诊断引入医学实践。当前医学仅采用分子诊断的部分要素，这些要素通常应用于单个基因层面。后基因组时代的医学将利用高通量测序以及功能基因组学、蛋白质组学和代谢组学研究提供的数千种疾病相关分子标记。这样一系列技术将把基于分子导向诊断的临床医学与疾病的预测和预防联系起来。为完成这项任务，必须将大规模全基因组生物学和医学数据与生物统计学和生物信息学分析相结合，以对生物系统进行建模。收集、编目和比较分子研究数据，并随后得出结论，构成了系统生物学的基础。这个高度复杂的分析过程反映了一种被称为整合基因组学的新科学范式。
