ReviewPharmacogenomics2012
Semantically enabling pharmacogenomic data for the realization of personalized medicine.
Review in Pharmacogenomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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
7 citing papers in PubMed.
- Leveraging a pharmacogenomics knowledgebase to formulate a drug response phenotype terminology for genomic medicine.Bioinformatics (Oxford, England) · 2022Article
- Search and visualization of gene-drug-disease interactions for pharmacogenomics and precision medicine research using GeneDive.Journal of biomedical informatics · 2021Article
- Learning from biomedical linked data to suggest valid pharmacogenes.Journal of biomedical semantics · 2017Article
- Evaluation of research in biomedical ontologies.Briefings in bioinformatics · 2013Article
- Making data on essential pharmacogenes available for every patient everywhere: the Medicine Safety Code initiative.Pharmacogenomics · 2013Article
- Electronic health record design and implementation for pharmacogenomics: a local perspective.Genetics in medicine : official journal of the American College of Medical Genetics · 2013Article
- Pharmacogenomics in the pocket of every patient? A prototype based on quick response codes.Journal of the American Medical Informatics Association : JAMIA · 2013Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
Abstract
Understanding how each individual's genetics and physiology influences pharmaceutical response is crucial to the realization of personalized medicine and the discovery and validation of pharmacogenomic biomarkers is key to its success. However, integration of genotype and phenotype knowledge in medical information systems remains a critical challenge. The inability to easily and accurately integrate the results of biomolecular studies with patients' medical records and clinical reports prevents us from realizing the full potential of pharmacogenomic knowledge for both drug development and clinical practice. Herein, we describe approaches using Semantic Web technologies, in which pharmacogenomic knowledge relevant to drug development and medical decision support is represented in such a way that it can be efficiently accessed both by software and human experts. We suggest that this approach increases the utility of data, and that such computational technologies will become an essential part of personalized medicine, alongside diagnostics and pharmaceutical products.
Indexed as
Identifiers
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.