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Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

Overview of attention for article published in Circulation Research, November 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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7 news outlets
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32 X users
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1 Facebook page

Citations

dimensions_citation
164 Dimensions

Readers on

mendeley
161 Mendeley
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2 CiteULike
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Title
Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci
Published in
Circulation Research, November 2016
DOI 10.1161/circresaha.116.308765
Pubmed ID
Authors

Gregory T. Jones, Gerard Tromp, Helena Kuivaniemi, Solveig Gretarsdottir, Annette F. Baas, Betti Giusti, Ewa Strauss, Femke N.G. van‘t Hof, Thomas R. Webb, Robert Erdman, Marylyn D. Ritchie, James R. Elmore, Anurag Verma, Sarah Pendergrass, Iftikhar J. Kullo, Zi Ye, Peggy L. Peissig, Omri Gottesman, Shefali S. Verma, Jennifer Malinowski, Laura J. Rasmussen-Torvik, Kenneth M. Borthwick, Diane T. Smelser, David R. Crosslin, Mariza de Andrade, Evan J. Ryer, Catherine A. McCarty, Erwin P. Böttinger, Jennifer A. Pacheco, Dana C. Crawford, David S. Carrell, Glenn S. Gerhard, David P. Franklin, David J. Carey, Victoria L. Phillips, Michael J.A. Williams, Wenhua Wei, Ross Blair, Andrew A. Hill, Thodor M. Vasudevan, David R. Lewis, Ian A. Thomson, Jo Krysa, Geraldine B. Hill, Justin Roake, Tony R. Merriman, Grzegorz Oszkinis, Silvia Galora, Claudia Saracini, Rosanna Abbate, Raffaele Pulli, Carlo Pratesi, Athanasios Saratzis, Ana R. Verissimo, Suzannah Bumpstead, Stephen A. Badger, Rachel E. Clough, Gillian Cockerill, Hany Hafez, D. Julian A. Scott, T. Simon Futers, Simon P.R. Romaine, Katherine Bridge, Kathryn J. Griffin, Marc A. Bailey, Alberto Smith, Matthew M. Thompson, Frank M. van Bockxmeer, Stefan E. Matthiasson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Jan D. Blankensteijn, Joep A.W. Teijink, Cisca Wijmenga, Jacqueline de Graaf, Lambertus A. Kiemeney, Jes S. Lindholt, Anne Hughes, Declan T. Bradley, Kathleen Stirrups, Jonathan Golledge, Paul E. Norman, Janet T. Powell, Steve E. Humphries, Stephen E. Hamby, Alison H. Goodall, Christopher P. Nelson, Natzi Sakalihasan, Audrey Courtois, Robert E. Ferrell, Per Eriksson, Lasse Folkersen, Anders Franco-Cereceda, John D. Eicher, Andrew D. Johnson, Christer Betsholtz, Arno Ruusalepp, Oscar Franzén, Eric E. Schadt, Johan L.M. Björkegren, Leonard Lipovich, Anne M. Drolet, Eric L. Verhoeven, Clark J. Zeebregts, Robert H. Geelkerken, Marc R. van Sambeek, Steven M. van Sterkenburg, Jean-Paul de Vries, Kari Stefansson, John R. Thompson, Paul I.W. de Bakker, Panos Deloukas, Robert D. Sayers, Seamus C. Harrison, Andre M. van Rij, Nilesh J. Samani, Matthew J. Bown, The International Consortium for Blood Pressure The Cardiogenics Consortium

Abstract

Abdominal aortic aneurysm (AAA) is a complex disease with both genetic and environmental risk factors. Together, 6 previously identified risk loci only explain a small proportion of the heritability of AAA. To identify additional AAA risk loci using data from all available genome-wide association studies (GWAS). Through a meta-analysis of 6 GWAS datasets and a validation study totalling 10,204 cases and 107,766 controls we identified 4 new AAA risk loci: 1q32.3 (SMYD2), 13q12.11 (LINC00540), 20q13.12 (near PCIF1/MMP9/ZNF335), and 21q22.2 (ERG). In various database searches we observed no new associations between the lead AAA SNPs and coronary artery disease, blood pressure, lipids or diabetes. Network analyses identified ERG, IL6R and LDLR as modifiers of MMP9, with a direct interaction between ERG and MMP9. The 4 new risk loci for AAA appear to be specific for AAA compared with other cardiovascular diseases and related traits suggesting that traditional cardiovascular risk factor management may only have limited value in preventing the progression of aneurysmal disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 13%
Student > Ph. D. Student 20 12%
Student > Bachelor 14 9%
Other 11 7%
Professor 11 7%
Other 47 29%
Unknown 37 23%
Readers by discipline Count As %
Medicine and Dentistry 53 33%
Biochemistry, Genetics and Molecular Biology 25 16%
Agricultural and Biological Sciences 15 9%
Nursing and Health Professions 3 2%
Computer Science 3 2%
Other 18 11%
Unknown 44 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 30 September 2020.
All research outputs
#581,193
of 25,377,790 outputs
Outputs from Circulation Research
#145
of 7,667 outputs
Outputs of similar age
#11,859
of 416,880 outputs
Outputs of similar age from Circulation Research
#7
of 86 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,667 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 98% 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 416,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.