ArticleGenetics research2016
The collective nature of personalized medicine.
Article in Genetics research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- The ethical aspects of human organ-on-chip models: A mapping review.Stem cell reports · 2025Review
- The Use of Big Data in Personalized Healthcare to Reduce Inventory Waste and Optimize Patient Treatment.Journal of personalized medicine · 2024Review
- The Future of Precision Medicine in the Cure of Alzheimer's Disease.Biomedicines · 2023Review
- Personalizing medicine in Africa: current state, progress and challenges.Frontiers in genetics · 2023Review
- Application of artificial intelligence for automatic cataract staging based on anterior segment images: comparing automatic segmentation approaches to manual segmentation.Frontiers in neuroscience · 2023Article
- Who's afraid of genetic tests?: An assessment of Singapore's public attitudes and changes in attitudes after taking a genetic test.BMC medical ethics · 2022Article
- Precision Medicine and Public Health: New Challenges for Effective and Sustainable Health.Journal of personalized medicine · 2021Review
- Genomic data and the dividual self.Genetics research · 2019Article
- Changing the mindset for precision medicine: from incentivized biobanking models to genomic data.Genetics research · 2019Article
- Global science meets ethnic diversity: Ian McGonigle interviews GenomeAsia100K Scientific Chairman Stephan Schuster.Genetics research · 2019Article
- PRECISION MEDICINE - The Golden Gate for Detection, Treatment and Prevention of Alzheimer's Disease.The journal of prevention of Alzheimer's disease · 2016Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine, incorporating personalized medicine, is an emerging medical model that holds great promise for improving the prevention, diagnosis and treatment of many diseases. The future success of precision medicine, however, depends on the establishment of large databases that collate diverse data, including family genealogies, disease histories, drug sensitivities and genomic data. Herein I raise some of the social and ethical challenges that such a system faces, specifically: the enrolment of volunteers into large genetic databases; the need for a change in mindset of clinicians, patients and the wider public; and the need for interdisciplinary ethics considering the emerging issues. Finally I argue that the future potential of 'personalized' medicine crucially depends on 'collective' participation of informed citizens.
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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.