[Postgenomic Medicine: Alternative to Biomarkers].

In the article relevance of high-performance postgenomic technologies is tackled. The intrinsic problems of the implementation of genomics, proteomics and metabolomics in routine clinical practice are considered. Further development of postgenomic medicine requires severe change in the current research approaches. Avenue for development of such approaches are illustrated by metabolome research of human blood plasma. The postgenomic biomarkers are pictured as molecular iceberg, greater part of which is inaccessible for detection with measurement methods. Due to diversity of protein forms the spectrum of molecular markers will always evaluate in terms of incompleteness and inconsistence regardless of technological development level. These properties of «big data» are typical of data intensive domains. Special computational methods are essential for data intensive analytics and hardly suitable for the evidence-based medicine.