ArticleGenes2020
Using Personal Genomic Data within Primary Care: A Bioinformatics Approach to Pharmacogenomics.
Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Translating multi-omics into healthcare: requisites for scalable and equitable implementation.Human genomics · 2026Review
- Personal Health Data Spaces for precision prevention and continuity of care: integrating genomic, imaging, and clinical data in primary care.Frontiers in medicine · 2026Article
- Ethically Integrating Genomics in Primary Care: An Invitation to Share Implementation Best Practices.Mayo Clinic proceedings · 2026Article
- Prospective changes in primary care patients' family communication after skin cancer genetic test offer.PEC innovation · 2025Article
- Improving prescribing: a feasibility study of pharmacogenetic testing with clinical decision support in primary healthcare in Singapore.Family practice · 2024Article
- Article
- Development of an extensive workflow for comprehensive clinical pharmacogenomic profiling: lessons from a pilot study on 100 whole exome sequencing data.The pharmacogenomics journal · 2022Article
- Review
- Biomarkers for Optimization and Personalization of Anti-TNFs in Pediatric Inflammatory Bowel Disease.Pharmaceutics · 2021Review
- Pharmacogenomic Determinants of Interindividual Drug Response Variability: From Discovery to Implementation.Genes · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One application of personalized medicine is the tailoring of medication to the individual, so that the medication will have the highest chance of success. In order to individualize medication, one must have a complete inventory of all current pharmaceutical compounds (a detailed formulary) combined with pharmacogenetic datasets, the genetic makeup of the patient, their (medical) family history and other health-related data. For healthcare professionals to make the best use of this information, it must be visualized in a way that makes the most medically relevant data accessible for their decision-making. Similarly, to enable bioinformatics analysis of these data, it must be prepared and provided through an interface for controlled computational analysis. Due to the high degree of personal information gathered for such initiatives, privacy-sensitive implementation choices and ethical standards are paramount. The Personal Genetic Locker project provides an approach to enable the use of personal genomic data in primary care. In this paper, we provide a description of the Personal Genetic Locker project and show its utility through a use case based on open standards, which is illustrated by the 4MedBox system.
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.