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Blood Pressure Loci Identified with a Gene-Centric Array

Overview of attention for article published in American Journal of Human Genetics, November 2011
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2 X users
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1 Facebook page
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4 Wikipedia pages

Citations

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154 Dimensions

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172 Mendeley
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3 CiteULike
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Title
Blood Pressure Loci Identified with a Gene-Centric Array
Published in
American Journal of Human Genetics, November 2011
DOI 10.1016/j.ajhg.2011.10.013
Pubmed ID
Authors

Toby Johnson, Tom R. Gaunt, Stephen J. Newhouse, Sandosh Padmanabhan, Maciej Tomaszewski, Meena Kumari, Richard W. Morris, Ioanna Tzoulaki, Eoin T. O'Brien, Neil R. Poulter, Peter Sever, Denis C. Shields, Simon Thom, Sasiwarang G. Wannamethee, Peter H. Whincup, Morris J. Brown, John M. Connell, Richard J. Dobson, Philip J. Howard, Charles A. Mein, Abiodun Onipinla, Sue Shaw-Hawkins, Yun Zhang, George Davey Smith, Ian N.M. Day, Debbie A. Lawlor, Alison H. Goodall, The Cardiogenics Consortium, F. Gerald Fowkes, Gonçalo R. Abecasis, Paul Elliott, Vesela Gateva, The Global BPgen Consortium, Peter S. Braund, Paul R. Burton, Christopher P. Nelson, Martin D. Tobin, Pim van der Harst, Nicola Glorioso, Hani Neuvrith, Erika Salvi, Jan A. Staessen, Andrea Stucchi, Nabila Devos, Xavier Jeunemaitre, Pierre-François Plouin, Jean Tichet, Peeter Juhanson, Elin Org, Margus Putku, Siim Sõber, Gudrun Veldre, Margus Viigimaa, Anna Levinsson, Annika Rosengren, Dag S. Thelle, Claire E. Hastie, Thomas Hedner, Wai K. Lee, Olle Melander, Björn Wahlstrand, Rebecca Hardy, Andrew Wong, Jackie A. Cooper, Jutta Palmen, Li Chen, Alexandre F.R. Stewart, George A. Wells, Harm-Jan Westra, Marcel G.M. Wolfs, Robert Clarke, Maria Grazia Franzosi, Anuj Goel, Anders Hamsten, Mark Lathrop, John F. Peden, Udo Seedorf, Hugh Watkins, Willem H. Ouwehand, Jennifer Sambrook, Jonathan Stephens, Juan-Pablo Casas, Fotios Drenos, Michael V. Holmes, Mika Kivimaki, Sonia Shah, Tina Shah, Philippa J. Talmud, John Whittaker, Chris Wallace, Christian Delles, Maris Laan, Diana Kuh, Steve E. Humphries, Fredrik Nyberg, Daniele Cusi, Robert Roberts, Christopher Newton-Cheh, Lude Franke, Alice V. Stanton, Anna F. Dominiczak, Martin Farrall, Aroon D. Hingorani, Nilesh J. Samani, Mark J. Caulfield, Patricia B. Munroe

Abstract

Raised blood pressure (BP) is a major risk factor for cardiovascular disease. Previous studies have identified 47 distinct genetic variants robustly associated with BP, but collectively these explain only a few percent of the heritability for BP phenotypes. To find additional BP loci, we used a bespoke gene-centric array to genotype an independent discovery sample of 25,118 individuals that combined hypertensive case-control and general population samples. We followed up four SNPs associated with BP at our p < 8.56 × 10(-7) study-specific significance threshold and six suggestively associated SNPs in a further 59,349 individuals. We identified and replicated a SNP at LSP1/TNNT3, a SNP at MTHFR-NPPB independent (r(2) = 0.33) of previous reports, and replicated SNPs at AGT and ATP2B1 reported previously. An analysis of combined discovery and follow-up data identified SNPs significantly associated with BP at p < 8.56 × 10(-7) at four further loci (NPR3, HFE, NOS3, and SOX6). The high number of discoveries made with modest genotyping effort can be attributed to using a large-scale yet targeted genotyping array and to the development of a weighting scheme that maximized power when meta-analyzing results from samples ascertained with extreme phenotypes, in combination with results from nonascertained or population samples. Chromatin immunoprecipitation and transcript expression data highlight potential gene regulatory mechanisms at the MTHFR and NOS3 loci. These results provide candidates for further study to help dissect mechanisms affecting BP and highlight the utility of studying SNPs and samples that are independent of those studied previously even when the sample size is smaller than that in previous studies.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Sweden 1 <1%
Colombia 1 <1%
South Africa 1 <1%
Unknown 164 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 22%
Student > Ph. D. Student 31 18%
Student > Master 17 10%
Student > Bachelor 14 8%
Professor 12 7%
Other 37 22%
Unknown 24 14%
Readers by discipline Count As %
Medicine and Dentistry 52 30%
Agricultural and Biological Sciences 38 22%
Biochemistry, Genetics and Molecular Biology 25 15%
Computer Science 7 4%
Mathematics 4 2%
Other 16 9%
Unknown 30 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 November 2022.
All research outputs
#7,455,082
of 26,017,215 outputs
Outputs from American Journal of Human Genetics
#3,313
of 6,012 outputs
Outputs of similar age
#59,725
of 250,672 outputs
Outputs of similar age from American Journal of Human Genetics
#20
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 6,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 250,672 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.