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Loci influencing blood pressure identified using a cardiovascular gene-centric array

Overview of attention for article published in Human Molecular Genetics, January 2013
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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2 X users
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1 patent

Citations

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131 Dimensions

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4 CiteULike
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Title
Loci influencing blood pressure identified using a cardiovascular gene-centric array
Published in
Human Molecular Genetics, January 2013
DOI 10.1093/hmg/dds555
Pubmed ID
Authors

Santhi K. Ganesh, Vinicius Tragante, Wei Guo, Yiran Guo, Matthew B. Lanktree, Erin N. Smith, Toby Johnson, Berta Almoguera Castillo, John Barnard, Jens Baumert, Yen-Pei Christy Chang, Clara C. Elbers, Martin Farrall, Mary E. Fischer, Nora Franceschini, Tom R. Gaunt, Johannes M.I.H. Gho, Christian Gieger, Yan Gong, Aaron Isaacs, Marcus E. Kleber, Irene Mateo Leach, Caitrin W. McDonough, Matthijs F.L. Meijs, Olle Mellander, Cliona M. Molony, Ilja M. Nolte, Sandosh Padmanabhan, Tom S. Price, Ramakrishnan Rajagopalan, Jonathan Shaffer, Sonia Shah, Haiqing Shen, Nicole Soranzo, Peter J. van der Most, Erik P.A. Van Iperen, Jessic A. Van Setten, Judith M. Vonk, Li Zhang, Amber L. Beitelshees, Gerald S. Berenson, Deepak L. Bhatt, Jolanda M.A. Boer, Eric Boerwinkle, Ben Burkley, Amber Burt, Aravinda Chakravarti, Wei Chen, Rhonda M. Cooper-DeHoff, Sean P. Curtis, Albert Dreisbach, David Duggan, Georg B. Ehret, Richard R. Fabsitz, Myriam Fornage, Ervin Fox, Clement E. Furlong, Ron T. Gansevoort, Marten H. Hofker, G. Kees Hovingh, Susan A. Kirkland, Kandice Kottke-Marchant, Abdullah Kutlar, Andrea Z. LaCroix, Taimour Y. Langaee, Yun R. Li, Honghuang Lin, Kiang Liu, Steffi Maiwald, Rainer Malik, Gurunathan Murugesan, Christopher Newton-Cheh, Jeffery R. O'Connell, N. Charlotte Onland-Moret, Willem H. Ouwehand, Walter Palmas, Brenda W. Penninx, Carl J. Pepine, Mary Pettinger, Joseph F. Polak, Vasan S. Ramachandran, Jane Ranchalis, Susan Redline, Paul M. Ridker, Lynda M. Rose, Hubert Scharnag, Nicholas J. Schork, Daichi Shimbo, Alan R. Shuldiner, Sathanur R. Srinivasan, Ronald P. Stolk, Herman A. Taylor, Barbara Thorand, Mieke D. Trip, Cornelia M. van Duijn, W. Monique Verschuren, Cisca Wijmenga, Bernhard R. Winkelmann, Sharon Wyatt, J. Hunter Young, Bernhard O. Boehm, Mark J. Caulfield, Daniel I. Chasman, Karina W. Davidson, Pieter A. Doevendans, Garret A. FitzGerald, John G. Gums, Hakon Hakonarson, Hans L. Hillege, Thomas Illig, Gail P. Jarvik, Julie A. Johnson, John J.P. Kastelein, Wolfgang Koenig, Winfried März, Braxton D. Mitchell, Sarah S. Murray, Albertine J. Oldehinkel, Daniel J. Rader, Muredach P. Reilly, Alex P. Reiner, Eric E. Schadt, Roy L. Silverstein, Harold Snieder, Alice V. Stanton, André G. Uitterlinden, Pim van der Harst, Yvonne T. van der Schouw, Nilesh J. Samani, Andrew D. Johnson, Patricia B. Munroe, Paul I.W. de Bakker, Xiaofeng Zhu, Daniel Levy, Brendan J. Keating, Folkert W. Asselbergs

Abstract

Blood pressure (BP) is a heritable determinant of risk for cardiovascular disease (CVD). To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP), we genotyped ∼50 000 single-nucleotide polymorphisms (SNPs) that capture variation in ∼2100 candidate genes for cardiovascular phenotypes in 61 619 individuals of European ancestry from cohort studies in the USA and Europe. We identified novel associations between rs347591 and SBP (chromosome 3p25.3, in an intron of HRH1) and between rs2169137 and DBP (chromosome1q32.1 in an intron of MDM4) and between rs2014408 and SBP (chromosome 11p15 in an intron of SOX6), previously reported to be associated with MAP. We also confirmed 10 previously known loci associated with SBP, DBP, MAP or PP (ADRB1, ATP2B1, SH2B3/ATXN2, CSK, CYP17A1, FURIN, HFE, LSP1, MTHFR, SOX6) at array-wide significance (P < 2.4 × 10(-6)). We then replicated these associations in an independent set of 65 886 individuals of European ancestry. The findings from expression QTL (eQTL) analysis showed associations of SNPs in the MDM4 region with MDM4 expression. We did not find any evidence of association of the two novel SNPs in MDM4 and HRH1 with sequelae of high BP including coronary artery disease (CAD), left ventricular hypertrophy (LVH) or stroke. In summary, we identified two novel loci associated with BP and confirmed multiple previously reported associations. Our findings extend our understanding of genes involved in BP regulation, some of which may eventually provide new targets for therapeutic intervention.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Finland 1 <1%
France 1 <1%
Unknown 147 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 23%
Student > Ph. D. Student 25 16%
Professor 18 12%
Student > Master 14 9%
Professor > Associate Professor 10 7%
Other 28 18%
Unknown 22 14%
Readers by discipline Count As %
Medicine and Dentistry 52 34%
Agricultural and Biological Sciences 28 18%
Biochemistry, Genetics and Molecular Biology 20 13%
Nursing and Health Professions 4 3%
Neuroscience 4 3%
Other 13 9%
Unknown 31 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 October 2023.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from Human Molecular Genetics
#3,477
of 8,251 outputs
Outputs of similar age
#73,083
of 290,142 outputs
Outputs of similar age from Human Molecular Genetics
#25
of 77 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,251 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 55% 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 290,142 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 77 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 62% of its contemporaries.