Qureshi, N;
Humphries, SE;
Gray, H;
(2018)
Personalised medicine in general practice: the example of raised cholesterol.
British Journal of General Practice
, 68
(667)
pp. 68-69.
10.3399/bjgp18X694481.
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Abstract
With the rollout of the 100 000 Genomes Project, NHS policymakers are working to maximise the benefits to patients of personalised medicine. In the US, this is also termed ‘precision medicine’. Many GPs consider they already offer ‘personalised medicine’, recognising that ‘one size does not fit all’ and that management requires patients’ medical histories and psychosocial issues are taken into account. While the field of genomics has been developing for many years its clinical value has, to date, largely been in the diagnosis of rare, inherited diseases. However, genomic information is increasingly offering the potential for transformed healthcare, including better prediction of potential disease, earlier and more accurate diagnosis, and prescribing tailored to an individual’s likelihood of seeing benefit.
| Type: | Article |
|---|---|
| Title: | Personalised medicine in general practice: the example of raised cholesterol |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3399/bjgp18X694481 |
| Publisher version: | https://doi.org/10.3399/bjgp18X694481 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Primary Health Care, Medicine, General & Internal, General & Internal Medicine, FAMILIAL HYPERCHOLESTEROLEMIA, PRIMARY-CARE, IDENTIFICATION |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10057971 |
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