ReviewNPJ genomic medicine2020
Emerging strategies to bridge the gap between pharmacogenomic research and its clinical implementation.
Review in NPJ genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.
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
31 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Vietnamese pharmacogenomic variation in global context: a systematic review and meta-analysis for clinical implementation.Frontiers in pharmacology · 2026Pooled it
- A Multi-Ancestry GWAS Meta-Analysis Integrated with In-Depth Silico, Systems Biology, and Pharmacogenomics Approaches on Alzheimer's Disease Among 1,198,689 Subjects.Journal of molecular neuroscience : MN · 2025Pooled it
- Pharmacogenomic scores in psychiatry: systematic review of current evidence.Translational psychiatry · 2024Pooled it
- BioFRAM PGx, an Implementation Proposal for Pharmacogenetics in the Spanish National Health System.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Feed-Forward Deep Neural Networks Predict Substrate-Specific Effects of Transporter Variants to Explain Drug Response Variability.Clinical and translational science · 2026Article
- The potential of whole genome sequencing in pharmacogenetics: a retrospective health record study in rare disease patients.European journal of human genetics : EJHG · 2026Article
- Pharmacogenetic testing in Italy: results of a nationwide survey by the Joint Working Group for the pharmacogenetics implementation in Italy.European journal of human genetics : EJHG · 2026Article
- Computational variant predictors for pharmacogenomics: from evaluation of single alleles to assessment of adverse drug reactions to antidepressants.The pharmacogenomics journal · 2026Article
- Genetic ancestry proportion influences risk of adverse events from tuberculosis treatment in Brazil.Human genetics · 2026Observational
- Pharmacogenomics and genetic ancestry: an opportunity to transform clinical practice in Colombia.Frontiers in pharmacology · 2026Article
- Artificial intelligence in precision medicine: transforming disease subtyping, medical imaging, and pharmacogenomics.Emerging topics in life sciences · 2025Article
- Translating pharmacogenomic sequencing data into drug response predictions-How to interpret variants of unknown significance.British journal of clinical pharmacology · 2025Review
- Genome-wide associations spanning 194 in-hospital drug dosage change phenotypes highlight diverse genetic backgrounds in concurrent drug therapy.Computational and structural biotechnology journal · 2025Article
- Genetic ancestry in population pharmacogenomics unravels distinct geographical patterns related to drug toxicity.iScience · 2024Article
- One Step Ahead in Realizing Pharmacogenetics in Low- and Middle-Income Countries: What Should We Do?Journal of multidisciplinary healthcare · 2024Review
- Emerging trends in pharmacogenomics: from common variant associations toward comprehensive genomic profiling.Human genomics · 2023Article
- AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges.Resuscitation plus · 2023Review
- Functional Characterization of SixMolecular pharmaceutics · 2023Article
- Advancing Precision Medicine in Paediatrics: Past, present and future.Cambridge prisms. Precision medicine · 2023Review
- A national survey of individualized pharmaceutical care practice in Chinese hospitals in 2019.Frontiers in pharmacology · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The genomic inter-individual heterogeneity remains a significant challenge for both clinical decision-making and the design of clinical trials. Although next-generation sequencing (NGS) is increasingly implemented in drug development and clinical trials, translation of the obtained genomic information into actionable clinical advice lags behind. Major reasons are the paucity of sufficiently powered trials that can quantify the added value of pharmacogenetic testing, and the considerable pharmacogenetic complexity with millions of rare variants with unclear functional consequences. The resulting uncertainty is reflected in inconsistencies of pharmacogenomic drug labels in Europe and the United States. In this review, we discuss how the knowledge gap for bridging pharmacogenomics into the clinics can be reduced. First, emerging methods that allow the high-throughput experimental characterization of pharmacogenomic variants combined with novel computational tools hold promise to improve the accuracy of drug response predictions. Second, tapping of large biobanks of therapeutic drug monitoring data allows to conduct high-powered retrospective studies that can validate the clinical importance of genetic variants, which are currently incompletely characterized. Combined, we are confident that these methods will improve the accuracy of drug response predictions and will narrow the gap between variant identification and its utilization for clinical decision-support.
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Registered trials
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.