Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/19071
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Morris, RW | - |
dc.contributor.author | Cooper, JA | - |
dc.contributor.author | Shah, T | - |
dc.contributor.author | Wong, A | - |
dc.contributor.author | Drenos, F | - |
dc.contributor.author | Engmann, J | - |
dc.contributor.author | McLachlan, S | - |
dc.contributor.author | Jefferis, B | - |
dc.contributor.author | Dale, C | - |
dc.contributor.author | Hardy, R | - |
dc.contributor.author | Kuh, D | - |
dc.contributor.author | Ben-Shlomo, Y | - |
dc.contributor.author | Wannamethee, SG | - |
dc.contributor.author | Whincup, PH | - |
dc.contributor.author | Casas, JP | - |
dc.contributor.author | Kivimaki, M | - |
dc.contributor.author | Kumari, M | - |
dc.contributor.author | Talmud, PJ | - |
dc.contributor.author | Price, JF | - |
dc.contributor.author | Dudbridge, F | - |
dc.contributor.author | Hingorani, AD | - |
dc.contributor.author | Humphries, SE | - |
dc.date.accessioned | 2019-09-06T10:08:08Z | - |
dc.date.available | 2016-10-15 | - |
dc.date.available | 2019-09-06T10:08:08Z | - |
dc.date.issued | 2016-06-30 | - |
dc.identifier.citation | Heart, 2016, 102 (20), pp. 1640 - 1647 | en_US |
dc.identifier.issn | 1355-6037 | - |
dc.identifier.issn | http://dx.doi.org/10.1136/heartjnl-2016-309298 | - |
dc.identifier.issn | 1468-201X | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/19071 | - |
dc.description.abstract | Objective We investigated discrimination and calibration of cardiovascular disease (CVD) risk scores when genotypic was added to phenotypic information. The potential of genetic information for those at intermediate risk by a phenotype-based risk score was assessed. Methods Data were from seven prospective studies including 11..851 individuals initially free of CVD or diabetes, with 1444 incident CVD events over 10â..years' follow-up. We calculated a score from 53 CVD-related single nucleotide polymorphisms and an established CVD risk equation QRISK-2' comprising phenotypic measures. The area under the receiver operating characteristic curve (AUROC), detection rate for given false-positive rate (FPR) and net reclassification improvement (NRI) index were estimated for gene scores alone and in addition to the QRISK-2 CVD risk score. We also evaluated use of genetic information only for those at intermediate risk according to QRISK-2. Results The AUROC was 0.635 for QRISK-2 alone and 0.623 with addition of the gene score. The detection rate for 5% FPR improved from 11.9% to 12.0% when the gene score was added. For a 10-year CVD risk cut-off point of 10%, the NRI was 0.25% when the gene score was added to QRISK-2. Applying the genetic risk score only to those with QRISK-2 risk of 10%-<20% and prescribing statins where risk exceeded 20% suggested that genetic information could prevent one additional event for every 462 people screened. Conclusion The gene score produced minimal incremental population-wide utility over phenotypic risk prediction of CVD. Tailored prediction using genetic information for those at intermediate risk may have clinical utility. | en_US |
dc.format.extent | 1640 - 1647 | - |
dc.language.iso | en | en_US |
dc.publisher | BMJ Publishing Group | en_US |
dc.title | Marginal role for 53 common genetic variants in cardiovascular disease prediction | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1136/heartjnl-2016-309298 | - |
dc.relation.isPartOf | Heart | - |
pubs.issue | 20 | - |
pubs.publication-status | Published | - |
pubs.volume | 102 | - |
dc.identifier.eissn | 1468-201X | - |
Appears in Collections: | Dept of Life Sciences Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | 693.09 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.