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Gene-centric Meta-analysis in 87,736 Individuals of European Ancestry Identifies Multiple Blood-Pressure-Related Loci

Overview of attention for article published in American Journal of Human Genetics, February 2014
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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 (88th percentile)

Mentioned by

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6 news outlets
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15 X users
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1 Facebook page

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
230 Mendeley
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1 CiteULike
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Title
Gene-centric Meta-analysis in 87,736 Individuals of European Ancestry Identifies Multiple Blood-Pressure-Related Loci
Published in
American Journal of Human Genetics, February 2014
DOI 10.1016/j.ajhg.2013.12.016
Pubmed ID
Authors

Vinicius Tragante, Michael R. Barnes, Santhi K. Ganesh, Matthew B. Lanktree, Wei Guo, Nora Franceschini, Erin N. Smith, Toby Johnson, Michael V. Holmes, Sandosh Padmanabhan, Konrad J. Karczewski, Berta Almoguera, John Barnard, Jens Baumert, Yen-Pei Christy Chang, Clara C. Elbers, Martin Farrall, Mary E. Fischer, Tom R. Gaunt, Johannes M.I.H. Gho, Christian Gieger, Anuj Goel, Yan Gong, Aaron Isaacs, Marcus E. Kleber, Irene Mateo Leach, Caitrin W. McDonough, Matthijs F.L. Meijs, Olle Melander, Christopher P. Nelson, Ilja M. Nolte, Nathan Pankratz, Tom S. Price, Jonathan Shaffer, Sonia Shah, Maciej Tomaszewski, Peter J. van der Most, Erik P.A. Van Iperen, Judith M. Vonk, Kate Witkowska, Caroline O.L. Wong, Li Zhang, Amber L. Beitelshees, Gerald S. Berenson, Deepak L. Bhatt, Morris Brown, Amber Burt, Rhonda M. Cooper-DeHoff, John M. Connell, Karen J. Cruickshanks, Sean P. Curtis, George Davey-Smith, Christian Delles, Ron T. Gansevoort, Xiuqing Guo, Shen Haiqing, Claire E. Hastie, Marten H. Hofker, G. Kees Hovingh, Daniel S. Kim, Susan A. Kirkland, Barbara E. Klein, Ronald Klein, Yun R. Li, Steffi Maiwald, Christopher Newton-Cheh, Eoin T. O’Brien, N. Charlotte Onland-Moret, Walter Palmas, Afshin Parsa, Brenda W. Penninx, Mary Pettinger, Ramachandran S. Vasan, Jane E. Ranchalis, Paul M Ridker, Lynda M. Rose, Peter Sever, Daichi Shimbo, Laura Steele, Ronald P. Stolk, Barbara Thorand, Mieke D. Trip, Cornelia M. van Duijn, W. Monique Verschuren, Cisca Wijmenga, Sharon Wyatt, J. Hunter Young, Aeilko H. Zwinderman, Connie R. Bezzina, Eric Boerwinkle, Juan P. Casas, Mark J. Caulfield, Aravinda Chakravarti, Daniel I. Chasman, Karina W. Davidson, Pieter A. Doevendans, Anna F. Dominiczak, Garret A. FitzGerald, John G. Gums, Myriam Fornage, Hakon Hakonarson, Indrani Halder, Hans L. Hillege, Thomas Illig, Gail P. Jarvik, Julie A. Johnson, John J.P. Kastelein, Wolfgang Koenig, Meena Kumari, Winfried März, Sarah S. Murray, Jeffery R. O’Connell, Albertine J. Oldehinkel, James S. Pankow, Daniel J. Rader, Susan Redline, Muredach P. Reilly, Eric E. Schadt, Kandice Kottke-Marchant, Harold Snieder, Michael Snyder, Alice V. Stanton, Martin D. Tobin, André G. Uitterlinden, Pim van der Harst, Yvonne T. van der Schouw, Nilesh J. Samani, Hugh Watkins, Andrew D. Johnson, Alex P. Reiner, Xiaofeng Zhu, Paul I.W. de Bakker, Daniel Levy, Folkert W. Asselbergs, Patricia B. Munroe, Brendan J. Keating

Abstract

Blood pressure (BP) is a heritable risk factor for cardiovascular disease. To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP), we genotyped ~50,000 SNPs in up to 87,736 individuals of European ancestry and combined these in a meta-analysis. We replicated findings in an independent set of 68,368 individuals of European ancestry. Our analyses identified 11 previously undescribed associations in independent loci containing 31 genes including PDE1A, HLA-DQB1, CDK6, PRKAG2, VCL, H19, NUCB2, RELA, HOXC@ complex, FBN1, and NFAT5 at the Bonferroni-corrected array-wide significance threshold (p < 6 × 10(-7)) and confirmed 27 previously reported associations. Bioinformatic analysis of the 11 loci provided support for a putative role in hypertension of several genes, such as CDK6 and NUCB2. Analysis of potential pharmacological targets in databases of small molecules showed that ten of the genes are predicted to be a target for small molecules. In summary, we identified previously unknown loci associated with BP. Our findings extend our understanding of genes involved in BP regulation, which may provide new targets for therapeutic intervention or drug response stratification.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Australia 1 <1%
Unknown 228 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 22%
Student > Ph. D. Student 35 15%
Student > Master 24 10%
Professor 17 7%
Other 16 7%
Other 47 20%
Unknown 40 17%
Readers by discipline Count As %
Medicine and Dentistry 59 26%
Agricultural and Biological Sciences 42 18%
Biochemistry, Genetics and Molecular Biology 26 11%
Psychology 8 3%
Computer Science 8 3%
Other 29 13%
Unknown 58 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 25 August 2014.
All research outputs
#805,677
of 25,373,627 outputs
Outputs from American Journal of Human Genetics
#410
of 5,878 outputs
Outputs of similar age
#7,757
of 238,974 outputs
Outputs of similar age from American Journal of Human Genetics
#5
of 42 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 93% 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 238,974 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 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.