ReviewPharmacogenomics and personalized medicine2014
Developing genomic knowledge bases and databases to support clinical management: current perspectives.
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 10 papers.
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.
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.
- Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base.BMC bioinformatics · 2024Article
- Effective and Efficient Delivery of Genome-Based Testing-What Conditions Are Necessary for Health System Readiness?Healthcare (Basel, Switzerland) · 2022Article
- ARBoR: an identity and security solution for clinical reporting.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Tailoring of medical treatment: hemostasis and thrombosis towards precision medicine.Haematologica · 2017Article
- Review Article: The Role of Molecular Pathological Epidemiology in the Study of Neoplastic and Non-neoplastic Diseases in the Era of Precision Medicine.Epidemiology (Cambridge, Mass.) · 2016Review
- Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Integration of molecular pathology, epidemiology and social science for global precision medicine.Expert review of molecular diagnostics · 2016Review
- Taking Control of Castleman Disease: Leveraging Precision Medicine Technologies to Accelerate Rare Disease Research.The Yale journal of biology and medicine · 2015Review
- The right drugs at the right time for the right patient: the MD Anderson precision oncology decision support platform.Drug discovery today · 2015Article
- Proceedings of the second international molecular pathological epidemiology (MPE) meeting.Cancer causes & control : CCC · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Personalized medicine, the ability to tailor diagnostic and treatment decisions for individual patients, is seen as the evolution of modern medicine. We characterize here the informatics resources available today or envisioned in the near future that can support clinical interpretation of genomic test results. We assume a clinical sequencing scenario (germline whole-exome sequencing) in which a clinical specialist, such as an endocrinologist, needs to tailor patient management decisions within his or her specialty (targeted findings) but relies on a genetic counselor to interpret off-target incidental findings. We characterize the genomic input data and list various types of knowledge bases that provide genomic knowledge for generating clinical decision support. We highlight the need for patient-level databases with detailed lifelong phenotype content in addition to genotype data and provide a list of recommendations for personalized medicine knowledge bases and databases. We conclude that no single knowledge base can currently support all aspects of personalized recommendations and that consolidation of several current resources into larger, more dynamic and collaborative knowledge bases may offer a future path forward.
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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.