ArticleFrontiers in genetics2013
Enhancing systems medicine beyond genotype data by dynamic patient signatures: having information and using it too.
Article in Frontiers in genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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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.
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Who cites it
4 citing papers in PubMed.
- The new holism: P4 systems medicine and the medicalization of health and life itself.Medicine, health care, and philosophy · 2016Article
- Building SuperModels: emerging patient avatars for use in precision and systems medicine.Frontiers in physiology · 2015Article
- Returning findings within longitudinal cohort studies: the 1958 birth cohort as an exemplar.Emerging themes in epidemiology · 2014Article
- Systems medicine: evolution of systems biology from bench to bedside.Wiley interdisciplinary reviews. Systems biology and medicineReview
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In order to establish systems medicine, based on the results and insights from basic biological research applicable for a medical and a clinical patient care, it is essential to measure patient-based data that represent the molecular and cellular state of the patient's pathology. In this paper, we discuss potential limitations of the sole usage of static genotype data, e.g., from next-generation sequencing, for translational research. The hypothesis advocated in this paper is that dynOmics data, i.e., high-throughput data that are capable of capturing dynamic aspects of the activity of samples from patients, are important for enabling personalized medicine by complementing genotype data.
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Registered trials
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