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Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function

Overview of attention for article published in Journal of Clinical Investigation, April 2017
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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 (83rd percentile)

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10 news outlets
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8 X users
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3 patents
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1 Facebook page
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1 clinical guideline source

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149 Mendeley
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Article details
Title
Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function
Published in
Journal of Clinical Investigation, April 2017
DOI 10.1172/jci84840
Pubmed ID
Authors

Philipp S. Wild, Janine F. Felix, Arne Schillert, Alexander Teumer, Ming-Huei Chen, Maarten J.G. Leening, Uwe Völker, Vera Großmann, Jennifer A. Brody, Marguerite R. Irvin, Sanjiv J. Shah, Setia Pramana, Wolfgang Lieb, Reinhold Schmidt, Alice V. Stanton, Dörthe Malzahn, Albert Vernon Smith, Johan Sundström, Cosetta Minelli, Daniela Ruggiero, Leo-Pekka Lyytikäinen, Daniel Tiller, J. Gustav Smith, Claire Monnereau, Marco R. Di Tullio, Solomon K. Musani, Alanna C. Morrison, Tune H. Pers, Michael Morley, Marcus E. Kleber, Jayashri Aragam, Emelia J. Benjamin, Joshua C. Bis, Egbert Bisping, Ulrich Broeckel, Susan Cheng, Jaap W. Deckers, Fabiola Del Greco M, Frank Edelmann, Myriam Fornage, Lude Franke, Nele Friedrich, Tamara B. Harris, Edith Hofer, Albert Hofman, Jie Huang, Alun D. Hughes, Mika Kähönen, KNHI investigators, Jochen Kruppa, Karl J. Lackner, Lars Lannfelt, Rafael Laskowski, Lenore J. Launer, Margrét Leosdottir, Honghuang Lin, Cecilia M. Lindgren, Christina Loley, Calum A. MacRae, Deborah Mascalzoni, Jamil Mayet, Daniel Medenwald, Andrew P. Morris, Christian Müller, Martina Müller-Nurasyid, Stefania Nappo, Peter M. Nilsson, Sebastian Nuding, Teresa Nutile, Annette Peters, Arne Pfeufer, Diana Pietzner, Peter P. Pramstaller, Olli T. Raitakari, Kenneth M. Rice, Fernando Rivadeneira, Jerome I. Rotter, Saku T. Ruohonen, Ralph L. Sacco, Tandaw E. Samdarshi, Helena Schmidt, Andrew S.P. Sharp, Denis C. Shields, Rossella Sorice, Nona Sotoodehnia, Bruno H. Stricker, Praveen Surendran, Simon Thom, Anna M. Töglhofer, André G. Uitterlinden, Rolf Wachter, Henry Völzke, Andreas Ziegler, Thomas Münzel, Winfried März, Thomas P. Cappola, Joel N. Hirschhorn, Gary F. Mitchell, Nicholas L. Smith, Ervin R. Fox, Nicole D. Dueker, Vincent W.V. Jaddoe, Olle Melander, Martin Russ, Terho Lehtimäki, Marina Ciullo, Andrew A. Hicks, Lars Lind, Vilmundur Gudnason, Burkert Pieske, Anthony J. Barron, Robert Zweiker, Heribert Schunkert, Erik Ingelsson, Kiang Liu, Donna K. Arnett, Bruce M. Psaty, Stefan Blankenberg, Martin G. Larson, Stephan B. Felix, Oscar H. Franco, Tanja Zeller, Ramachandran S. Vasan, Marcus Dörr

Abstract

Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function. A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function. The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue. The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies. For detailed information per study, see Acknowledgments.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 149 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 %
India 1 <1%
Unknown 148 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 39 26%
Student > Ph. D. Student 24 16%
Student > Master 12 8%
Professor 10 7%
Other 7 5%
Other 25 17%
Unknown 32 21%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 43 29%
Biochemistry, Genetics and Molecular Biology 31 21%
Agricultural and Biological Sciences 22 15%
Immunology and Microbiology 2 1%
Computer Science 1 <1%
Other 8 5%
Unknown 42 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 04 August 2026.
All research outputs
#644,037
of 34,208,280 outputs
Outputs from Journal of Clinical Investigation
#678
of 20,938 outputs
Outputs of similar age
#10,156
of 355,011 outputs
Outputs of similar age from Journal of Clinical Investigation
#21
of 124 outputs
Altmetric has tracked 34,208,280 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one has done particularly well, scoring higher than 96% 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 355,011 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 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.