ReviewBioanalysis2025
Enhancing clinical research with pharmacogenomics: a practical perspective.
Review in Bioanalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pharmacogenomics (PGx) is transforming therapeutic development by providing insights into how genetic variations influence drug response, safety, and efficacy. This review provides a structured analysis of PGx in clinical research, beginning with an overview of key genes involved in drug metabolism, transport, and targets. Following this, it examines strategies for identifying PGx-relevant genes, including phenotype-driven, hypothesis-driven, population-focused, and clinical-driven approaches. Technical platforms such as PCR, MassARRAY, and next-generation sequencing are analyzed for their suitability in PGx studies. The discussion then shifts to assay validation processes, covering both analytical and clinical validation, to ensure data reliability in clinical trials. Finally, regulatory expectations for PGx in clinical trials are discussed, focusing on key requirements across all phases of drug development. This review aims to provide a clear and practical framework for integrating PGx into clinical research to enhance drug safety, efficacy, and personalized medicine.
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What OpenQuestion holds
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.