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Published in: Cardiovascular Diabetology 1/2016

Open Access 01-12-2016 | Original investigation

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

Authors: Katherine E. Beaney, Claire E. Ward, Dauda A. S. Bappa, Nadine McGale, Anna K. Davies, Shashivadan P. Hirani, KaWah Li, Philip Howard, Dwaine R. Vance, Martin A. Crockard, John V. Lamont, Stanton Newman, Steve E. Humphries

Published in: Cardiovascular Diabetology | Issue 1/2016

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Abstract

Background

The coronary risk in diabetes (CoRDia) trial (n = 211) compares the effectiveness of usual diabetes care with a self-management intervention (SMI), with and without personalised risk information (including genetics), on clinical and behavioural outcomes. Here we present an assessment of randomisation, the cardiac risk genotyping assay, and the genetic characteristics of the recruits.

Methods

Ten-year coronary heart disease (CHD) risk was calculated using the UKPDS score. Genetic CHD risk was determined by genotyping 19 single nucleotide polymorphisms (SNPs) using Randox’s Cardiac Risk Prediction Array and calculating a gene score (GS). Accuracy of the array was assessed by genotyping a subset of pre-genotyped samples (n = 185).

Results

Overall, 10-year CHD risk ranged from 2–72 % but did not differ between the randomisation groups (p = 0.13). The array results were 99.8 % concordant with the pre-determined genotypes. The GS did not differ between the Caucasian participants in the CoRDia SMI plus risk group (n = 66) (p = 0.80) and a sample of UK healthy men (n = 1360). The GS was also associated with LDL-cholesterol (p = 0.05) and family history (p = 0.03) in a sample of UK healthy men (n = 1360).

Conclusions

CHD risk is high in this group of T2D subjects. The risk array is an accurate genotyping assay, and is suitable for estimating an individual’s genetic CHD risk.
Trial registration This study has been registered at ClinicalTrials.gov; registration identifier NCT01891786
Literature
1.
go back to reference Kannel WB, McGee DL. Diabetes and cardiovascular disease. The Framingham study. JAMA. 1979;241(19):2035–8.CrossRefPubMed Kannel WB, McGee DL. Diabetes and cardiovascular disease. The Framingham study. JAMA. 1979;241(19):2035–8.CrossRefPubMed
3.
go back to reference Jansen H, et al. Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk. Atherosclerosis. 2015;241(2):419–26.CrossRefPubMedPubMedCentral Jansen H, et al. Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk. Atherosclerosis. 2015;241(2):419–26.CrossRefPubMedPubMedCentral
4.
go back to reference Ray KK, et al. Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: a meta-analysis of randomised controlled trials. Lancet. 2009;373(9677):1765–72.CrossRefPubMed Ray KK, et al. Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: a meta-analysis of randomised controlled trials. Lancet. 2009;373(9677):1765–72.CrossRefPubMed
5.
go back to reference Turnbull FM, et al. Intensive glucose control and macrovascular outcomes in type 2 diabetes. Diab tologia. 2009;52(11):2288–98.CrossRef Turnbull FM, et al. Intensive glucose control and macrovascular outcomes in type 2 diabetes. Diab tologia. 2009;52(11):2288–98.CrossRef
6.
go back to reference Newman S, Steed L, Mulligan K. Self-management interventions for chronic illness. Lancet. 2004;364(9444):1523–37.CrossRefPubMed Newman S, Steed L, Mulligan K. Self-management interventions for chronic illness. Lancet. 2004;364(9444):1523–37.CrossRefPubMed
7.
go back to reference Davies AK, et al. Effectiveness of a self-management intervention with personalised genetic and lifestyle-related risk information on coronary heart disease and diabetes-related risk in type 2 diabetes (CoRDia): study protocol for a randomised controlled trial. Trials. 2015;16(1):547.CrossRefPubMedPubMedCentral Davies AK, et al. Effectiveness of a self-management intervention with personalised genetic and lifestyle-related risk information on coronary heart disease and diabetes-related risk in type 2 diabetes (CoRDia): study protocol for a randomised controlled trial. Trials. 2015;16(1):547.CrossRefPubMedPubMedCentral
8.
go back to reference Stevens RJ, et al. The UKPDS risk engine: a model for the risk of coronary heart disease in type II diabetes (UKPDS 56). Clin Sci (Lond). 2001;101(6):671–9.CrossRef Stevens RJ, et al. The UKPDS risk engine: a model for the risk of coronary heart disease in type II diabetes (UKPDS 56). Clin Sci (Lond). 2001;101(6):671–9.CrossRef
9.
go back to reference Beaney KE, et al. Clinical utility of a coronary heart disease risk prediction gene score in UK healthy middle aged men and in the Pakistani population. PLoS ONE. 2015;10(7):e0130754.CrossRefPubMedPubMedCentral Beaney KE, et al. Clinical utility of a coronary heart disease risk prediction gene score in UK healthy middle aged men and in the Pakistani population. PLoS ONE. 2015;10(7):e0130754.CrossRefPubMedPubMedCentral
10.
go back to reference Larifla L et al. Influence of genetic risk factors on coronary heart disease occurrence in Afro-Caribbeans. Can J Cardiol. 2016. Larifla L et al. Influence of genetic risk factors on coronary heart disease occurrence in Afro-Caribbeans. Can J Cardiol. 2016.
11.
go back to reference Miller GJ, et al. The effects of quality and timing of venepuncture on markers of blood coagulation in healthy middle-aged men. Thromb Haemost. 1995;73(1):82–6.PubMed Miller GJ, et al. The effects of quality and timing of venepuncture on markers of blood coagulation in healthy middle-aged men. Thromb Haemost. 1995;73(1):82–6.PubMed
12.
go back to reference Hawe E, et al. Family history is a coronary heart disease risk factor in the Second Northwick park heart study. Ann Hum Genet. 2003;67(Pt 2):97–106.CrossRefPubMed Hawe E, et al. Family history is a coronary heart disease risk factor in the Second Northwick park heart study. Ann Hum Genet. 2003;67(Pt 2):97–106.CrossRefPubMed
13.
go back to reference Fitzgerald SP, et al. Development of a high-throughput automated analyzer using biochip array technology. Clin Chem. 2005;51(7):1165–76.CrossRefPubMed Fitzgerald SP, et al. Development of a high-throughput automated analyzer using biochip array technology. Clin Chem. 2005;51(7):1165–76.CrossRefPubMed
14.
go back to reference Scarborough P, et al. Trends in coronary heart disease 1961–2011. London: British Heart Foundation; 2011. Scarborough P, et al. Trends in coronary heart disease 1961–2011. London: British Heart Foundation; 2011.
15.
go back to reference Bannister CA, et al. External validation of the UKPDS risk engine in incident type 2 diabetes: a need for new type 2 diabetes-specific risk equations. Diabetes Care. 2014;37(2):537–45.CrossRefPubMed Bannister CA, et al. External validation of the UKPDS risk engine in incident type 2 diabetes: a need for new type 2 diabetes-specific risk equations. Diabetes Care. 2014;37(2):537–45.CrossRefPubMed
16.
go back to reference Dhamrait SS, et al. Cardiovascular risk in healthy men and markers of oxidative stress in diabetic men are associated with common variation in the gene for uncoupling protein 2. Eur Heart J. 2004;25(6):468–75.CrossRefPubMed Dhamrait SS, et al. Cardiovascular risk in healthy men and markers of oxidative stress in diabetic men are associated with common variation in the gene for uncoupling protein 2. Eur Heart J. 2004;25(6):468–75.CrossRefPubMed
17.
go back to reference Nikpay M, et al. A comprehensive 1000 genomes-based genome-wide association meta-analysis of coronary artery disease. Nat Genet. 2015;47(10):1121–30.CrossRefPubMedPubMedCentral Nikpay M, et al. A comprehensive 1000 genomes-based genome-wide association meta-analysis of coronary artery disease. Nat Genet. 2015;47(10):1121–30.CrossRefPubMedPubMedCentral
18.
go back to reference Morris AP, et al. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat Genet. 2012;44(9):981–90.CrossRefPubMedPubMedCentral Morris AP, et al. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat Genet. 2012;44(9):981–90.CrossRefPubMedPubMedCentral
19.
go back to reference Morris RW et al. Marginal role for 53 common genetic variants in cardiovascular disease prediction. Heart. 2016. Morris RW et al. Marginal role for 53 common genetic variants in cardiovascular disease prediction. Heart. 2016.
20.
go back to reference Tada H, et al. Risk prediction by genetic risk scores for coronary heart disease is independent of self-reported family history. Eur Heart J. 2016;37(6):561–7.CrossRefPubMed Tada H, et al. Risk prediction by genetic risk scores for coronary heart disease is independent of self-reported family history. Eur Heart J. 2016;37(6):561–7.CrossRefPubMed
21.
go back to reference Lloyd-Jones DM, et al. Parental cardiovascular disease as a risk factor for cardiovascular disease in middle-aged adults: a prospective study of parents and offspring. JAMA. 2004;291(18):2204–11.CrossRefPubMed Lloyd-Jones DM, et al. Parental cardiovascular disease as a risk factor for cardiovascular disease in middle-aged adults: a prospective study of parents and offspring. JAMA. 2004;291(18):2204–11.CrossRefPubMed
22.
go back to reference Myers RH, et al. Parental history is an independent risk factor for coronary artery disease: the Framingham study. Am Heart J. 1990;120(4):963–9.CrossRefPubMed Myers RH, et al. Parental history is an independent risk factor for coronary artery disease: the Framingham study. Am Heart J. 1990;120(4):963–9.CrossRefPubMed
23.
go back to reference Deloukas P, et al. Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet. 2013;45(1):25–52.CrossRefPubMed Deloukas P, et al. Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet. 2013;45(1):25–52.CrossRefPubMed
Metadata
Title
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
Authors
Katherine E. Beaney
Claire E. Ward
Dauda A. S. Bappa
Nadine McGale
Anna K. Davies
Shashivadan P. Hirani
KaWah Li
Philip Howard
Dwaine R. Vance
Martin A. Crockard
John V. Lamont
Stanton Newman
Steve E. Humphries
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Cardiovascular Diabetology / Issue 1/2016
Electronic ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-016-0457-7

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