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Application of pharmacogenetics in clinical practice: problems and solutions
Andrius Baskys1,2,3
1Graduate College of Biomedical Sciences, Western University of Health Sciences, Pomona, CA, USA. abaskys@gmail.com.
Integrating pharmacogenomic data into clinical practice is challenging. Simple bioinformatics tools are needed for prescribers to quickly use genetic information for patient care decisions.
Area of Science:
- Bioinformatics
- Clinical Pharmacology
- Genetics
Background:
- Pharmacogenomic data holds potential for personalized medicine.
- Current clinical integration of pharmacogenomics faces significant hurdles.
Purpose of the Study:
- To highlight challenges in implementing pharmacogenomic data in routine healthcare.
- To advocate for the development of user-friendly bioinformatics solutions.
Main Methods:
- Literature review and analysis of current clinical integration barriers.
- Discussion of existing bioinformatics tool limitations.
Main Results:
- Significant difficulties exist in translating pharmacogenomic research into clinical practice.
- A gap identified between genetic data availability and its practical application by clinicians.
Conclusions:
- Development of intuitive bioinformatics tools is crucial for effective pharmacogenomic data utilization.
- Streamlined access to genetic data at the point of care can improve clinical decision-making and patient outcomes.
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