Pharmacogenomics Beyond Single Common Genetic Variants: The Way Forward
Volker M Lauschke1,2,3, Yitian Zhou1,2,3, Magnus Ingelman-Sundberg2
1Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany.
Annual Review of Pharmacology and Toxicology
|July 28, 2023
Summary
Pharmacogenomics utilizes genetic variations to personalize drug efficacy and safety. Advances in omics and machine learning are driving personalized medicine and novel drug development for better patient outcomes.
Area of Science:
- Pharmacogenomics
- Genetics
- Machine Learning
- Personalized Medicine
Background:
- Interindividual variability in genes affects drug response (efficacy and safety).
- Pharmacogenomics is rapidly advancing due to technological and conceptual progress.
- Omics profiling and machine learning are key drivers of recent developments.
Purpose of the Study:
- To provide an overview of the latest developments in pharmacogenomics.
- To discuss future directions in the field.
- To highlight the clinical implementation of pharmacogenomics for personalized treatment.
Main Methods:
- Review of recent advances in omics profiling (genotypic and phenotypic characterization).
- Integration of machine learning for analyzing large datasets.
- Development of genetic markers and polygenic models for drug selection and dosing.
Main Results:
- Novel genotypic and phenotypic characterization of patients and biobanks.
- Establishment of genetic markers and polygenic models for personalized drug selection and dosing.
- Increased clinical adoption of pharmacogenomics for tailored treatments and drug development.
Conclusions:
- Pharmacogenomics is crucial for personalized medicine, improving drug efficacy and safety.
- Future research should focus on addressing missing heritability and refining polygenic models.
- Enhanced clinical implementation of pharmacogenomics will further optimize patient care and drug development.
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