ReviewPharmacogenomics and personalized medicine2014
Implementation and utilization of genetic testing in personalized medicine.
Review in Pharmacogenomics and personalized medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 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
50 citing papers in PubMed, 103 citations in OpenAlex.
- Personalized health predictions challenge existing insurance frameworks: Time to revisit life and disability insurance regulation?Journal of genetic counseling · 2026Article
- Voices in practice: Exploring genetic counseling ethical, cultural, social, and religious dynamics in the UAE.Journal of genetic counseling · 2025Article
- Natural products and nutraceuticals in the management of chronic inflammatory diseases: efficacy, mechanisms, and comparative insights.Inflammopharmacology · 2025Review
- Genetic advancements in breast cancer treatment: a review.Discover oncology · 2025Review
- From one size fits all to a tailored approach: integrating precision medicine into medical education.BMC medical education · 2025Article
- Article
- Aging precisely: Precision medicine through the lens of an older adult.Journal of the American Geriatrics Society · 2024Review
- Decoding the genetic landscape of autism: A comprehensive review.World journal of clinical pediatrics · 2024Article
- The Impact ofInternational journal of molecular sciences · 2024Article
- Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review.EClinicalMedicine · 2024Article
- Obesity and Nutrigenetics Testing: New Insights.Nutrients · 2024Review
- Advancing personalized medicine in brain cancer: exploring the role of mRNA vaccines.Journal of translational medicine · 2023Review
- Advances in point-of-care genetic testing for personalized medicine applications.Biomicrofluidics · 2023Review
- Trends in Availability of Genetic Tests in the United States, 2012-2022.Journal of personalized medicine · 2023Article
- 3D Printed Pharmaceutical Systems for Personalized Treatment in Metabolic Syndrome.Pharmaceutics · 2023Review
- Pharmacogenetics of Antiplatelet Therapy.Annual review of pharmacology and toxicology · 2023Review
- Development and application of a computable genotype model in the GA4GH Variation Representation Specification.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023Article
- Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.Annual review of genomics and human genetics · 2022Review
- From saliva to SNP: non-invasive, point-of-care genotyping for precision medicine applications using recombinase polymerase amplification and giant magnetoresistive nanosensors.Lab on a chip · 2022Article
- Considerations for developing regulations for direct-to-consumer genetic testing: a scoping review using the 3-I framework.Journal of community genetics · 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
5 authors at 3 institutions in 1 country.
Funding
Abstract
Clinical genetic testing began over 30 years ago with the availability of mutation detection for sickle cell disease diagnosis. Since then, the field has dramatically transformed to include gene sequencing, high-throughput targeted genotyping, prenatal mutation detection, preimplantation genetic diagnosis, population-based carrier screening, and now genome-wide analyses using microarrays and next-generation sequencing. Despite these significant advances in molecular technologies and testing capabilities, clinical genetics laboratories historically have been centered on mutation detection for Mendelian disorders. However, the ongoing identification of deoxyribonucleic acid (DNA) sequence variants associated with common diseases prompted the availability of testing for personal disease risk estimation, and created commercial opportunities for direct-to-consumer genetic testing companies that assay these variants. This germline genetic risk, in conjunction with other clinical, family, and demographic variables, are the key components of the personalized medicine paradigm, which aims to apply personal genomic and other relevant data into a patient's clinical assessment to more precisely guide medical management. However, genetic testing for disease risk estimation is an ongoing topic of debate, largely due to inconsistencies in the results, concerns over clinical validity and utility, and the variable mode of delivery when returning genetic results to patients in the absence of traditional counseling. A related class of genetic testing with analogous issues of clinical utility and acceptance is pharmacogenetic testing, which interrogates sequence variants implicated in interindividual drug response variability. Although clinical pharmacogenetic testing has not previously been widely adopted, advances in rapid turnaround time genetic testing technology and the recent implementation of preemptive genotyping programs at selected medical centers suggest that personalized medicine through pharmacogenetics is now a reality. This review aims to summarize the current state of implementing genetic testing for personalized medicine, with an emphasis on clinical pharmacogenetic testing.
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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.