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Whole genome sequencing in pharmacogenomics
Theodora Katsila1, George P Patrinos1
1Department of Pharmacy, School of Health Sciences, University of Patras Patras, Greec.
Frontiers in Pharmacology
|April 11, 2015
Summary
Pharmacogenomics uses genetic information to predict drug response. Whole genome sequencing offers potential to overcome current challenges and advance clinical applications of pharmacogenomics.
Area of Science:
- Genomics
- Clinical Pharmacology
- Personalized Medicine
Background:
- Pharmacogenomics investigates genetic influences on drug efficacy and toxicity.
- Established drug-gene relationships exist, but clinical application faces hurdles.
- Current pharmacogenomic testing guidelines are underdeveloped.
Purpose of the Study:
- To highlight the potential of whole genome sequencing (WGS) in pharmacogenomics.
- To discuss the role of WGS in advancing pharmacogenomic research.
- To explore the clinical utility of WGS for personalized medicine.
Main Methods:
- Review of current literature on pharmacogenomics and whole genome sequencing.
- Analysis of challenges in clinical pharmacogenomic implementation.
- Exploration of technological advancements in genotyping.
Main Results:
- High-throughput genotyping generates vast amounts of data.
- Whole genome sequencing presents opportunities for comprehensive genetic analysis.
- Integration of WGS data can enhance understanding of drug-gene interactions.
Conclusions:
- Whole genome sequencing holds significant promise for pharmacogenomic research.
- WGS can potentially address limitations in current pharmacogenomic applications.
- Advancements in WGS are crucial for the future of personalized medicine.
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