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52 Genetic Loci Influencing Myocardial Mass

Overview of attention for article published in JACC, September 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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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5 news outlets
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1 blog
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43 X users

Citations

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115 Dimensions

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234 Mendeley
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Title
52 Genetic Loci Influencing Myocardial Mass
Published in
JACC, September 2016
DOI 10.1016/j.jacc.2016.07.729
Pubmed ID
Authors

Pim van der Harst, Jessica van Setten, Niek Verweij, Georg Vogler, Lude Franke, Matthew T. Maurano, Xinchen Wang, Irene Mateo Leach, Mark Eijgelsheim, Nona Sotoodehnia, Caroline Hayward, Rossella Sorice, Osorio Meirelles, Leo-Pekka Lyytikäinen, Ozren Polašek, Toshiko Tanaka, Dan E. Arking, Sheila Ulivi, Stella Trompet, Martina Müller-Nurasyid, Albert V. Smith, Marcus Dörr, Kathleen F. Kerr, Jared W. Magnani, Fabiola Del Greco M., Weihua Zhang, Ilja M. Nolte, Claudia T. Silva, Sandosh Padmanabhan, Vinicius Tragante, Tõnu Esko, Gonçalo R. Abecasis, Michiel E. Adriaens, Karl Andersen, Phil Barnett, Joshua C. Bis, Rolf Bodmer, Brendan M. Buckley, Harry Campbell, Megan V. Cannon, Aravinda Chakravarti, Lin Y. Chen, Alessandro Delitala, Richard B. Devereux, Pieter A. Doevendans, Anna F. Dominiczak, Luigi Ferrucci, Ian Ford, Christian Gieger, Tamara B. Harris, Eric Haugen, Matthias Heinig, Dena G. Hernandez, Hans L. Hillege, Joel N. Hirschhorn, Albert Hofman, Norbert Hubner, Shih-Jen Hwang, Annamaria Iorio, Mika Kähönen, Manolis Kellis, Ivana Kolcic, Ishminder K. Kooner, Jaspal S. Kooner, Jan A. Kors, Edward G. Lakatta, Kasper Lage, Lenore J. Launer, Daniel Levy, Alicia Lundby, Peter W. Macfarlane, Dalit May, Thomas Meitinger, Andres Metspalu, Stefania Nappo, Silvia Naitza, Shane Neph, Alex S. Nord, Teresa Nutile, Peter M. Okin, Jesper V. Olsen, Ben A. Oostra, Josef M. Penninger, Len A. Pennacchio, Tune H. Pers, Siegfried Perz, Annette Peters, Yigal M. Pinto, Arne Pfeufer, Maria Grazia Pilia, Peter P. Pramstaller, Bram P. Prins, Olli T. Raitakari, Soumya Raychaudhuri, Ken M. Rice, Elizabeth J. Rossin, Jerome I. Rotter, Sebastian Schafer, David Schlessinger, Carsten O. Schmidt, Jobanpreet Sehmi, Herman H.W. Silljé, Gianfranco Sinagra, Moritz F. Sinner, Kamil Slowikowski, Elsayed Z. Soliman, Timothy D. Spector, Wilko Spiering, John A. Stamatoyannopoulos, Ronald P. Stolk, Konstantin Strauch, Sian-Tsung Tan, Kirill V. Tarasov, Bosco Trinh, Andre G. Uitterlinden, Malou van den Boogaard, Cornelia M. van Duijn, Wiek H. van Gilst, Jorma S. Viikari, Peter M. Visscher, Veronique Vitart, Uwe Völker, Melanie Waldenberger, Christian X. Weichenberger, Harm-Jan Westra, Cisca Wijmenga, Bruce H. Wolffenbuttel, Jian Yang, Connie R. Bezzina, Patricia B. Munroe, Harold Snieder, Alan F. Wright, Igor Rudan, Laurie A. Boyer, Folkert W. Asselbergs, Dirk J. van Veldhuisen, Bruno H. Stricker, Bruce M. Psaty, Marina Ciullo, Serena Sanna, Terho Lehtimäki, James F. Wilson, Stefania Bandinelli, Alvaro Alonso, Paolo Gasparini, J. Wouter Jukema, Stefan Kääb, Vilmundur Gudnason, Stephan B. Felix, Susan R. Heckbert, Rudolf A. de Boer, Christopher Newton-Cheh, Andrew A. Hicks, John C. Chambers, Yalda Jamshidi, Axel Visel, Vincent M. Christoffels, Aaron Isaacs, Nilesh J. Samani, Paul I.W. de Bakker

Abstract

Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. Myocardial depolarization leading to cardiac muscle contraction is reflected by the amplitude and duration of the QRS complex on the electrocardiogram (ECG). Abnormal QRS amplitude or duration reflect changes in myocardial mass and conduction, and are associated with increased risk of heart failure and death. This meta-analysis sought to gain insights into the genetic determinants of myocardial mass. We carried out a genome-wide association meta-analysis of 4 QRS traits in up to 73,518 individuals of European ancestry, followed by extensive biological and functional assessment. We identified 52 genomic loci, of which 32 are novel, that are reliably associated with 1 or more QRS phenotypes at p < 1 × 10(-8). These loci are enriched in regions of open chromatin, histone modifications, and transcription factor binding, suggesting that they represent regions of the genome that are actively transcribed in the human heart. Pathway analyses provided evidence that these loci play a role in cardiac hypertrophy. We further highlighted 67 candidate genes at the identified loci that are preferentially expressed in cardiac tissue and associated with cardiac abnormalities in Drosophila melanogaster and Mus musculus. We validated the regulatory function of a novel variant in the SCN5A/SCN10A locus in vitro and in vivo. Taken together, our findings provide new insights into genes and biological pathways controlling myocardial mass and may help identify novel therapeutic targets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 233 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 24%
Student > Ph. D. Student 33 14%
Student > Master 16 7%
Professor 16 7%
Student > Bachelor 14 6%
Other 47 20%
Unknown 52 22%
Readers by discipline Count As %
Medicine and Dentistry 58 25%
Biochemistry, Genetics and Molecular Biology 43 18%
Agricultural and Biological Sciences 19 8%
Computer Science 11 5%
Social Sciences 7 3%
Other 32 14%
Unknown 64 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 29 September 2017.
All research outputs
#583,036
of 25,482,409 outputs
Outputs from JACC
#1,493
of 16,746 outputs
Outputs of similar age
#11,308
of 348,590 outputs
Outputs of similar age from JACC
#27
of 206 outputs
Altmetric has tracked 25,482,409 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 16,746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done particularly well, scoring higher than 91% 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 348,590 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 96% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.