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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

Overview of attention for article published in Cardiovascular Diabetology, October 2016
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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
Published in
Cardiovascular Diabetology, October 2016
DOI 10.1186/s12933-016-0457-7
Pubmed ID
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

Abstract

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. 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). 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). 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 23%
Student > Bachelor 11 12%
Student > Ph. D. Student 7 7%
Researcher 6 6%
Other 5 5%
Other 9 10%
Unknown 34 36%
Readers by discipline Count As %
Medicine and Dentistry 20 21%
Biochemistry, Genetics and Molecular Biology 10 11%
Nursing and Health Professions 9 10%
Computer Science 5 5%
Agricultural and Biological Sciences 3 3%
Other 10 11%
Unknown 37 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2016.
All research outputs
#20,351,881
of 22,899,952 outputs
Outputs from Cardiovascular Diabetology
#1,220
of 1,386 outputs
Outputs of similar age
#278,385
of 321,482 outputs
Outputs of similar age from Cardiovascular Diabetology
#22
of 28 outputs
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So far Altmetric has tracked 1,386 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.