Beaney, K;
Drenos, F;
Humphries, SE;
(2017)
How close are we to implementing a genetic risk score for coronary heart disease?
Expert Review of Molecular Diagnostics
, 17
(10)
pp. 905-915.
10.1080/14737159.2017.1368388.
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Abstract
Introduction: Genome-wide association meta-analysis have now identified more than 150 loci where common variants (SNPs) are significantly associated with coronary heart disease (CHD) and CHD end points. Areas covered: The authors review publications from their own laboratory and published recently where identified CHD risk SNPs are used in combination, and ‘scaled’ by their effect size, to create a ‘weighted’ Genetic risk Score (GRS), which, in combination with an individual’s classical CHD risk factors, can be used to identify those at overall low, intermediate and high future risk. Those at highest risk can be offered life-style and therapeutic options to reduce their risk and those at intermediate levels can be monitored. Expert commentary: The authors discuss the selection of the best variants to be included in the GRS, and the potential utility of such scores in different clinical settings. The limitations of the current data sets and the way forward in the next 5 years is discussed.
| Type: | Article |
|---|---|
| Title: | How close are we to implementing a genetic risk score for coronary heart disease? |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/14737159.2017.1368388 |
| Publisher version: | https://doi.org/10.1080/14737159.2017.1368388 |
| 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, Pathology, Genome wide association studies, classical risk factors, genetic risk score, algorithm, coronary heart disease, GENOME-WIDE ASSOCIATION, LIPOPROTEIN CHOLESTEROL LEVELS, CARDIOVASCULAR-DISEASE, SECONDARY PREVENTION, CHROMOSOME 9P21.3, CANDIDATE GENES, ARTERY-DISEASE, 10-YEAR RISK, PREDICTION, METAANALYSIS |
| 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 Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10073847 |
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