Indexed In
- Open J Gate
- Genamics JournalSeek
- CiteFactor
- Cosmos IF
- Scimago
- Ulrich's Periodicals Directory
- Electronic Journals Library
- RefSeek
- Hamdard University
- EBSCO A-Z
- Directory of Abstract Indexing for Journals
- OCLC- WorldCat
- Proquest Summons
- Scholarsteer
- ROAD
- Virtual Library of Biology (vifabio)
- Publons
- Geneva Foundation for Medical Education and Research
- Google Scholar
Useful Links
Share This Page
Journal Flyer
Open Access Journals
- Agri and Aquaculture
- Biochemistry
- Bioinformatics & Systems Biology
- Business & Management
- Chemistry
- Clinical Sciences
- Engineering
- Food & Nutrition
- General Science
- Genetics & Molecular Biology
- Immunology & Microbiology
- Medical Sciences
- Neuroscience & Psychology
- Nursing & Health Care
- Pharmaceutical Sciences
Abstract
Predictive Medicine Evolution
Vladislav Baranov* and Helen Baranova
Genetic Health Chart (GHCh) also known in the Russia as Genetic Pass (GP) is now considered as a major practical guide for predictive, preventive and personalized medicine (PPPM) which reflects basic achievements of human genome studies and makes major advances in line with spectacular advances of molecular technologies of human genome endeavor. Since its birth in 2000 GP has been treated as a bank for collection of personal genetic data important for prediction, prevention and for treatment of inherited and inborn disorders. Major steps of PPPM, its main problems, disappointments and advances as well as their impact in evolution of GP are briefly outlined. The basic goal of the currant genomic studies as emphasized concerns the urgent need for correct interpretation of the clinical value of genetic testing and its applicability for routine clinical practice. Feasible paths towards the gradual implementation of personal genetic data, in line with other laboratory tests, for the individualized clinical trials are discussed.
Published Date: 2020-06-30; Received Date: 2020-04-30