Clinical Pharmacology & Therapeutics · 2018 · 138 citations · 42 references
MedicineGeneticsMolecular GeneticsPharmacogeneticsPharmacogenomicsPopulation GeneticsAllele NomenclaturePopulation PharmacogeneticsPopulation PharmacogenomicsAllele Frequency ComparisonAncestry-related Pharmacogenetic DifferencesGenetic PolymorphismsGenetic Variability AnalysisHuman DiversityPharmacogenetic StudiesPharmacogenetic Variant Frequencies
Pharmacogenetic allele frequencies vary across populations, yet existing grouping methods are inconsistent and fail to reflect global genetic diversity, oversimplifying human variation. The authors propose a standardized system of nine geographically defined groups to report pharmacogenetic allele frequency variability. The groups are defined by global autosomal genetic structure using data from large‑scale sequencing initiatives. The system facilitates consistent communication of allele frequency variability and is adopted by PharmGKB.
The varying frequencies of pharmacogenetic alleles among populations have important implications for the impact of these alleles in different populations. Current population grouping methods to communicate these patterns are insufficient as they are inconsistent and fail to reflect the global distribution of genetic variability. To facilitate and standardize the reporting of variability in pharmacogenetic allele frequencies, we present seven geographically defined groups: American, Central/South Asian, East Asian, European, Near Eastern, Oceanian, and Sub‐Saharan African, and two admixed groups: African American/Afro‐Caribbean and Latino. These nine groups are defined by global autosomal genetic structure and based on data from large‐scale sequencing initiatives. We recognize that broadly grouping global populations is an oversimplification of human diversity and does not capture complex social and cultural identity. However, these groups meet a key need in pharmacogenetics research by enabling consistent communication of the scale of variability in global allele frequencies and are now used by Pharmacogenomics Knowledgebase (PharmGKB).
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