ReviewBasic & clinical pharmacology & toxicology2022
A paradigm shift in pharmacogenomics: From candidate polymorphisms to comprehensive sequencing.
Review in Basic & clinical pharmacology & toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Article
- Pre-emptive pharmacogenetic testing in Italy: a review of evidence and multidisciplinary consensus on key priorities for implementation.Frontiers in public health · 2026Review
- Candidate-gene studies related to drug pharmacokinetics, pharmacodynamics, safety, and efficacy in the era of extensive technological developments: could we empower them by more efficient implementation of established epidemiological concepts?Croatian medical journal · 2024Article
- Genotype-Guided Antiplatelet Therapy: JACC Review Topic of the Week.Journal of the American College of Cardiology · 2024Review
- Decoding the Role of CYP450 Enzymes in Metabolism and Disease: A Comprehensive Review.Biomedicines · 2024Review
- Advancements in precision medicine: multi-omics approach for tailored metformin treatment in type 2 diabetes.Frontiers in pharmacology · 2024Review
- Clinical Implementation of Rare and NovelInternational journal of biological sciences · 2024Review
- Article
- Frequencies of Combined Dysfunction of Cytochromes P450 2C9, 2C19, and 2D6 in an Italian Cohort: Suggestions for a More Appropriate Medication Prescribing Process.International journal of molecular sciences · 2023Article
- Pharmacogenomics: current status and future perspectives.Nature reviews. Genetics · 2023Review
- A paradigm shift in pharmacogenomics: From candidate polymorphisms to comprehensive sequencing.Basic & clinical pharmacology & toxicology · 2022Review
- Characterization of NovelJournal of personalized medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Genetic factors have long been recognized as important determinants of interindividual variability in drug efficacy and toxicity. However, despite the increasing number of established gene-drug associations, candidate polymorphisms can only explain a fraction of the genetically encoded functional variability in drug disposition. Advancements in genetic profiling methods now allow to analyse the landscape of human pharmacogenetic variations comprehensively, which opens new opportunities to identify novel factors that could explain the "missing heritability." Here, we provide an updated overview of the landscape of pharmacogenomic variability based on recent analyses of population-scale sequencing projects. We then summarize the current state-of-the-art how the functional consequences of variants with unknown effects can be quantitatively estimated while discussing challenges and peculiarities that are specific to pharmacogenes. In the last sections, we discuss the importance of considering ethnogeographic diversity to provide equitable benefits of pharmacogenomics and summarize current roadblocks for the implementation of sequencing-based guidance of clinical decision-making. Based on the current state of the field, we conclude that testing is likely to gradually shift from the interrogation of selected candidate polymorphisms to comprehensive sequencing, which allows to consider the full spectrum of pharmacogenomic variations for a true personalization of genomic prescribing.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.