Abstract
The concept of population pharmacogenomics has emerged relatively recently, driven by advancements in genomic technologies and computational methods. It is highly suspected that identifying geographical patterns in genetic variation across diverse populations may play a central role in predicting drug response and tailoring treatments more effectively. This approach aims to bridge the gap between population genetics and clinical practice, offering the potential to optimize therapeutic strategies by considering the genetic diversity inherent in different populations, especially in developing countries. Population pharmacogenomics could significantly reshape personalized medicine, making healthcare more inclusive and precise on a global scale. In this chapter, we will provide an overview of personalized medicine, pharmacogenomics, and population pharmacogenomics, exploring their implications and potential for advancing healthcare.
| Original language | English |
|---|---|
| Title of host publication | Population Genomics in the Developing World |
| Subtitle of host publication | Concepts, Applications, and Challenges |
| Publisher | Elsevier |
| Pages | 143-158 |
| Number of pages | 16 |
| ISBN (Electronic) | 9780443185465 |
| ISBN (Print) | 9780443185472 |
| DOIs | |
| State | Published - 1 Jan 2024 |
Keywords
- Commonly prescribed drugs
- Personalised Medicine
- Pharmacogenomics
- Population Pharmacogenomics
- Population sequencing data
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