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Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis

Overview of attention for article published in Circulation: Genomic and Precision Medicine, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 news outlet
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13 X users

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101 Mendeley
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Article details
Title
Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis
Published in
Circulation: Genomic and Precision Medicine, November 2016
DOI 10.1161/circgenetics.116.001572
Pubmed ID
Authors

Pradeep Natarajan, Joshua C Bis, Lawrence F Bielak, Amanda J Cox, Marcus Dörr, Mary F Feitosa, Nora Franceschini, Xiuqing Guo, Shih-Jen Hwang, Aaron Isaacs, Min A Jhun, Maryam Kavousi, Ruifang Li-Gao, Leo-Pekka Lyytikäinen, Riccardo E Marioni, Ulf Schminke, Nathan O Stitziel, Hayato Tada, Jessica van Setten, Albert V Smith, Dina Vojinovic, Lisa R Yanek, Jie Yao, Laura M Yerges-Armstrong, Najaf Amin, Usman Baber, Ingrid B Borecki, J Jeffrey Carr, Yii-Der Ida Chen, L Adrienne Cupples, Pim A de Jong, Harry de Koning, Bob D de Vos, Ayse Demirkan, Valentin Fuster, Oscar H Franco, Mark O Goodarzi, Tamara B Harris, Susan R Heckbert, Gerardo Heiss, Udo Hoffmann, Albert Hofman, Ivana Išgum, J Wouter Jukema, Mika Kähönen, Sharon L R Kardia, Brian G Kral, Lenore J Launer, Joe Massaro, Roxana Mehran, Braxton D Mitchell, Thomas H Mosley, Renée de Mutsert, Anne B Newman, Khanh-Dung Nguyen, Kari E North, Jeffrey R O'Connell, Matthijs Oudkerk, James S Pankow, Gina M Peloso, Wendy Post, Michael A Province, Laura M Raffield, Olli T Raitakari, Dermot F Reilly, Fernando Rivadeneira, Frits Rosendaal, Samantha Sartori, Kent D Taylor, Alexander Teumer, Stella Trompet, Stephen T Turner, Andre G Uitterlinden, Dhananjay Vaidya, Aad van der Lugt, Uwe Völker, Joanna M Wardlaw, Christina L Wassel, Stefan Weiss, Mary K Wojczynski, Diane M Becker, Lewis C Becker, Eric Boerwinkle, Donald W Bowden, Ian J Deary, Abbas Dehghan, Stephan B Felix, Vilmundur Gudnason, Terho Lehtimäki, Rasika Mathias, Dennis O Mook-Kanamori, Bruce M Psaty, Daniel J Rader, Jerome I Rotter, James G Wilson, Cornelia M van Duijn, Henry Völzke, Sekar Kathiresan, Patricia A Peyser, Christopher J O'Donnell

Abstract

-The burden of subclinical atherosclerosis in asymptomatic individuals is heritable and associated with elevated risk of developing clinical coronary heart disease (CHD). We sought to identify genetic variants in protein-coding regions associated with subclinical atherosclerosis and the risk of subsequent CHD. -We studied a total of 25,109 European ancestry and African-American participants with coronary artery calcification (CAC) measured by cardiac computed tomography and 52,869 with common carotid intima media thickness (CIMT) measured by ultrasonography within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Participants were genotyped for 247,870 DNA sequence variants (231,539 in exons) across the genome. A meta-analysis of exome-wide association studies was performed across cohorts for CAC and CIMT. APOB p.Arg3527Gln was associated with four-fold excess CAC (P = 3×10(-10)). The APOE ε2 allele (p.Arg176Cys) was associated with both 22.3% reduced CAC (P = 1×10(-12)) and 1.4% reduced CIMT (P = 4×10(-14)) in carriers compared with non-carriers. In secondary analyses conditioning on LDL cholesterol concentration, the ε2 protective association with CAC, although attenuated, remained strongly significant. Additionally, the presence of ε2 was associated with reduced risk for CHD (OR 0.77; P = 1×10(-11)). -Exome-wide association meta-analysis demonstrates that protein-coding variants in APOB and APOE associate with subclinical atherosclerosis. APOE ε2 represents the first significant association for multiple subclinical atherosclerosis traits across multiple ethnicities as well as clinical CHD.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Researcher 14 14%
Student > Bachelor 10 10%
Professor 10 10%
Other 8 8%
Other 22 22%
Unknown 22 22%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 30 30%
Biochemistry, Genetics and Molecular Biology 15 15%
Agricultural and Biological Sciences 6 6%
Computer Science 5 5%
Nursing and Health Professions 3 3%
Other 12 12%
Unknown 30 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 28 September 2023.
All research outputs
#2,926,127
of 34,518,147 outputs
Outputs from Circulation: Genomic and Precision Medicine
#179
of 1,228 outputs
Outputs of similar age
#42,122
of 452,251 outputs
Outputs of similar age from Circulation: Genomic and Precision Medicine
#5
of 18 outputs
Altmetric has tracked 34,518,147 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,228 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done well, scoring higher than 85% 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 452,251 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 90% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.