ArticlePloS one2015
Clinical Utility of a Coronary Heart Disease Risk Prediction Gene Score in UK Healthy Middle Aged Men and in the Pakistani Population.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Research inefficiencies in external validation studies of the Framingham Wilson coronary heart disease risk rule: A systematic review.PloS one · 2024Pooled it
- A 19-SNP coronary heart disease gene score profile in subjects with type 2 diabetes: the coronary heart disease risk in type 2 diabetes (CoRDia study) study baseline characteristics.Cardiovascular diabetology · 2016Trial
- Trial
- Functionally Significant Variants in Genes Associated with Abdominal Obesity: A Review.Journal of personalized medicine · 2023Review
- Genetic Risk Score for Coronary Heart Disease: Review.Journal of personalized medicine · 2020Review
- Genetic risk score (GRS) constructed from polymorphisms in the PON1, IL-6, ITGB3, and ALDH2 genes is associated with the risk of coronary artery disease in Pakistani subjects.Lipids in health and disease · 2018Article
- Use of a gene score of multiple low-modest effect size variants can predict the risk of obesity better than the individual SNPs.Lipids in health and disease · 2018Observational
- Weighted Multi-marker Genetic Risk Scores for Incident Coronary Heart Disease among Individuals of African, Latino and East-Asian Ancestry.Scientific reports · 2018Article
- Common variants in the genes of triglyceride and HDL-C metabolism lack association with coronary artery disease in the Pakistani subjects.Lipids in health and disease · 2017Article
- Influence of Genetic Risk Factors on Coronary Heart Disease Occurrence in Afro-Caribbeans.The Canadian journal of cardiology · 2016Article
- Effect of SORT1, APOB and APOE polymorphisms on LDL-C and coronary heart disease in Pakistani subjects and their comparison with Northwick Park Heart Study II.Lipids in health and disease · 2016Article
- Improved prediction of complex diseases by common genetic markers: state of the art and further perspectives.Human genetics · 2016Review
- Article
- Analysis of risk factors for lower limb deep vein thrombosis in patients after Lumbar Fusion Surgery.Pakistan journal of medical sciencesArticle
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundNumerous risk prediction algorithms based on conventional risk factors for Coronary Heart Disease (CHD) are available but provide only modest discrimination. The inclusion of genetic information may improve clinical utility.
methodsWe tested the use of two gene scores (GS) in the prospective second Northwick Park Heart Study (NPHSII) of 2775 healthy UK men (284 cases), and Pakistani case-control studies from Islamabad/Rawalpindi (321 cases/228 controls) and Lahore (414 cases/219 controls). The 19-SNP GS included SNPs in loci identified by GWAS and candidate gene studies, while the 13-SNP GS only included SNPs in loci identified by the CARDIoGRAMplusC4D consortium.
resultsIn NPHSII, the mean of both gene scores was higher in those who went on to develop CHD over 13.5 years of follow-up (19-SNP p=0.01, 13-SNP p=7x10-3). In combination with the Framingham algorithm the GSs appeared to show improvement in discrimination (increase in area under the ROC curve, 19-SNP p=0.48, 13-SNP p=0.82) and risk classification (net reclassification improvement (NRI), 19-SNP p=0.28, 13-SNP p=0.42) compared to the Framingham algorithm alone, but these were not statistically significant. When considering only individuals who moved up a risk category with inclusion of the GS, the improvement in risk classification was statistically significant (19-SNP p=0.01, 13-SNP p=0.04). In the Pakistani samples, risk allele frequencies were significantly lower compared to NPHSII for 13/19 SNPs. In the Islamabad study, the mean gene score was higher in cases than controls only for the 13-SNP GS (2.24 v 2.34, p=0.04). There was no association with CHD and either score in the Lahore study.
conclusionThe performance of both GSs showed potential clinical utility in European men but much less utility in subjects from Pakistan, suggesting that a different set of risk loci or SNPs may be required for risk prediction in the South Asian population.
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