Summary

Pharmacogenetics explores how inherited genetic variation influences individual responses to drugs, while personalised medicine integrates this knowledge with environmental, lifestyle and clinical data to tailor therapeutic strategies. The field has evolved from single‐gene tests for drug‐metabolising enzymes to comprehensive pharmacogenomic profiling that incorporates multi‐omics technologies and machine‐learning algorithms. Central aims include optimising drug efficacy, reducing adverse reactions and narrowing health disparities by accounting for interindividual and interethnic variability in genes encoding enzymes, transporters and receptors. Recent advances have broadened the scope beyond cytochrome P450 polymorphisms to include rare variants, haplotypes and polygenic risk models. Clinical implementation relies on standardised genotype–phenotype translation, consensus guidelines and decision‐support systems embedded within electronic health records. Global initiatives emphasise equitable inclusion of underrepresented populations and community engagement to ensure that variant annotation and return of results align with cultural values. As sequencing costs fall and computational tools advance, pharmacogenetics is poised to become a routine component of precision therapeutics across diverse medical disciplines, from oncology and cardiology to psychiatry and infectious diseases.

Research from Nature Portfolio

Recent studies have demonstrated the feasibility and impact of community-engaged pharmacogenomic research in Indigenous populations. By co-designing study protocols with local stakeholders, researchers have aligned genetic screening of drug-metabolising variants with cultural priorities, enhancing trust and improving the annotation of population-specific alleles. This participatory approach has yielded novel insights into allele frequencies and haplotype structures relevant to medication response, guided the development of culturally appropriate consent and result-return frameworks, and established best practices for reducing health inequities through collaborative governance of genomic data.

Pharmacogenetics and Personalized Medicine publication trend

The graph below shows the total number of articles in pharmacogenetics and personalized medicine across all publications each year (not limited to Nature Index journals).

Technical terms

Pharmacogenetics: Study of how genetic variation influences an individual’s response to medication.

Pharmacogenomics: Genome-wide analysis of genetic factors affecting drug efficacy and safety.

Metaboliser phenotype: Classification of enzyme activity levels that affect drug metabolism rates.

Phenoconversion: Alteration of predicted metabolic phenotype due to environmental factors or drug–drug interactions.

Polygenic model: Predictive framework combining multiple genetic variants to guide dosing or drug selection.

References

  1. Implementing community-engaged pharmacogenomics in Indigenous communities. Nature Communications (2024).
  2. PGxDB: an interactive web-platform for pharmacogenomics research. Nucleic Acids Research (2024).
  3. Pharmacogenomics Beyond Single Common Genetic Variants: The Way Forward. The Annual Review of Pharmacology and Toxicology (2023).
  4. Pharmacogenomic insights in psychiatric care: uncovering novel actionability, allele-specific CYP2D6 copy number variation, and phenoconversion in 15,000 patients. Molecular Psychiatry (2024).
  5. Standardizing CYP2D6 Genotype to Phenotype Translation: Consensus Recommendations from the Clinical Pharmacogenetics Implementation Consortium and Dutch Pharmacogenetics Working Group. Clinical and Translational Science (2019).

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