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Updated: Mar 13, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
The global spectrum of protein-coding pharmacogenomic diversity
G E B Wright1,2, B Carleton2,3, M R Hayden1,2
1Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
Genetic variations significantly impact drug responses. This study analyzed pharmacogenomic data from the 1000 Genomes Project, revealing widespread rare variants and population-specific differences in clinically relevant genes.
Area of Science:
- Genomics and Personalized Medicine
- Pharmacogenomics
- Population Genetics
Background:
- Individual responses to medications are substantially influenced by genetic factors.
- Understanding pharmacogenomic variation is crucial for optimizing drug therapy and minimizing adverse events.
- Publicly available genomic datasets offer a valuable resource for extensive variation analysis.
Purpose of the Study:
- To comprehensively investigate pharmacogenomic variation using large-scale population data.
- To identify clinically relevant genetic variants and assess their distribution across global populations.
- To highlight the prevalence of rare variants and their potential impact on drug response.
Main Methods:
- Extraction of pharmacogenomic variation data from the 1000 Genomes Project Phase 3 dataset (2504 individuals, 26 populations).
- Identification and classification of genetic variants within 120 pharmacogenes.
- Analysis of variant frequencies, including rare variants (minor allele frequency <0.5%) and singletons, and calculation of fixation index (FST) for population differentiation.
Main Results:
- A total of 12,084 genetic variants were identified in 120 pharmacogenes, with 90% classified as rare.
- Common variation aligned with continental super-populations, and 23 pharmacogenes showed highly differentiated variants between populations.
- Over half (55.4%) of individuals carried loss-of-function variants, with significant super-population differences observed (e.g., East Asians 60.9% vs. Europeans 49.3%).
Conclusions:
- Genome sequencing effectively identifies clinically significant pharmacogenomic variations.
- Rare genetic variants are prevalent and play a critical role in the spectrum of drug response.
- Future research must incorporate rare variation analysis to fully understand genetic diversity's impact on pharmacogenomics.
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