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Novel risk genes identified in a genome-wide association study for coronary artery disease in patients with type 1 diabetes

Overview of attention for article published in Cardiovascular Diabetology, April 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

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3 tweeters
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1 Google+ user

Citations

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12 Dimensions

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40 Mendeley
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Title
Novel risk genes identified in a genome-wide association study for coronary artery disease in patients with type 1 diabetes
Published in
Cardiovascular Diabetology, April 2018
DOI 10.1186/s12933-018-0705-0
Pubmed ID
Authors

Romain Charmet, Seamus Duffy, Sareh Keshavarzi, Beata Gyorgy, Michel Marre, Peter Rossing, Amy Jayne McKnight, Alexander P. Maxwell, Tarun veer Singh Ahluwalia, Andrew D. Paterson, David-Alexandre Trégouët, Samy Hadjadj

Abstract

Patients with type 1 diabetes are more at risk of coronary artery disease than the general population. Although evidence points to a genetic risk there have been no study investigating genetic risk factors of coronary artery disease specific to individuals with type 1 diabetes. To identify low frequency and common genetic variations associated with coronary artery disease in populations of individuals with type 1 diabetes. A two-stage genome wide association study was conducted. The discovery phase involved the meta-analysis of three genome-wide association cohorts totaling 434 patients with type 1 diabetes and coronary artery disease (cases) and 3123 T1D individuals with no evidence of coronary artery disease (controls). Replication of the top association signals (p < 10-5) was performed in five additional independent cohorts totaling 585 cases and 2612 controls. One locus (rs115829748, located upstream of the MAP1B gene) reached the statistical threshold of 5 × 10-8 for genome-wide significance but did not replicate. Nevertheless, three single nucleotide polymorphisms provided suggestive evidence for association with coronary artery disease in the combined studies: CDK18 rs138760780 (OR = 2.60 95% confidence interval [1.75-3.85], p = 2.02 × 10-6), FAM189A2 rs12344245 (OR = 1.85 [1.41-2.43], p = 8.52 × 10-6) and PKD1 rs116092985 (OR = 1.53 [1.27-1.85], p = 1.01 × 10-5). In addition, our analyses suggested that genetic variations at the ANKS1A, COL4A2 and APOE loci previously found associated with coronary artery disease in the general population could have stronger effects in patients with type 1 diabetes. This study suggests three novel candidate genes for coronary artery disease in the subgroup of patients affected with type 1 diabetes. The detected associations deserve to be definitively validated in additional epidemiological studies.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 28%
Student > Bachelor 6 15%
Student > Ph. D. Student 6 15%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Biochemistry, Genetics and Molecular Biology 9 23%
Agricultural and Biological Sciences 3 8%
Business, Management and Accounting 2 5%
Psychology 2 5%
Other 5 13%
Unknown 9 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 September 2018.
All research outputs
#7,288,850
of 13,793,900 outputs
Outputs from Cardiovascular Diabetology
#309
of 806 outputs
Outputs of similar age
#119,887
of 272,791 outputs
Outputs of similar age from Cardiovascular Diabetology
#1
of 1 outputs
Altmetric has tracked 13,793,900 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 806 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,791 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them