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New Blood Pressure–Associated Loci Identified in Meta-Analyses of 475 000 Individuals

Overview of attention for article published in Circulation: Genomic and Precision Medicine, October 2017
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Citations

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Title
New Blood Pressure–Associated Loci Identified in Meta-Analyses of 475 000 Individuals
Published in
Circulation: Genomic and Precision Medicine, October 2017
DOI 10.1161/circgenetics.117.001778
Pubmed ID
Authors

Aldi T Kraja, James P Cook, Helen R Warren, Praveen Surendran, Chunyu Liu, Evangelos Evangelou, Alisa K Manning, Niels Grarup, Fotios Drenos, Xueling Sim, Albert Vernon Smith, Najaf Amin, Alexandra I F Blakemore, Jette Bork-Jensen, Ivan Brandslund, Aliki-Eleni Farmaki, Cristiano Fava, Teresa Ferreira, Karl-Heinz Herzig, Ayush Giri, Franco Giulianini, Megan L Grove, Xiuqing Guo, Sarah E Harris, Christian T Have, Aki S Havulinna, He Zhang, Marit E Jørgensen, AnneMari Käräjämäki, Charles Kooperberg, Allan Linneberg, Louis Little, Yongmei Liu, Lori L Bonnycastle, Yingchang Lu, Reedik Mägi, Anubha Mahajan, Giovanni Malerba, Riccardo E Marioni, Hao Mei, Cristina Menni, Alanna C Morrison, Sandosh Padmanabhan, Walter Palmas, Alaitz Poveda, Rainer Rauramaa, Nigel William Rayner, Muhammad Riaz, Ken Rice, Melissa A Richard, Jennifer A Smith, Lorraine Southam, Alena Stančáková, Kathleen E Stirrups, Vinicius Tragante, Tiinamaija Tuomi, Ioanna Tzoulaki, Tibor V Varga, Stefan Weiss, Andrianos M Yiorkas, Robin Young, Weihua Zhang, Michael R Barnes, Claudia P Cabrera, He Gao, Michael Boehnke, Eric Boerwinkle, John C Chambers, John M Connell, Cramer K Christensen, Rudolf A de Boer, Ian J Deary, George Dedoussis, Panos Deloukas, Anna F Dominiczak, Marcus Dörr, Roby Joehanes, Todd L Edwards, Tõnu Esko, Myriam Fornage, Nora Franceschini, Paul W Franks, Giovanni Gambaro, Leif Groop, Göran Hallmans, Torben Hansen, Caroline Hayward, Oksa Heikki, Erik Ingelsson, Jaakko Tuomilehto, Marjo-Riitta Jarvelin, Sharon L R Kardia, Fredrik Karpe, Jaspal S Kooner, Timo A Lakka, Claudia Langenberg, Lars Lind, Ruth J F Loos, Markku Laakso, Mark I McCarthy, Olle Melander, Karen L Mohlke, Andrew P Morris, Colin N A Palmer, Oluf Pedersen, Ozren Polasek, Neil R Poulter, Michael A Province, Bruce M Psaty, Paul M Ridker, Jerome I Rotter, Igor Rudan, Veikko Salomaa, Nilesh J Samani, Peter J Sever, Tea Skaaby, Jeanette M Stafford, John M Starr, Pim van der Harst, Peter van der Meer, Cornelia M van Duijn, Anne-Claire Vergnaud, Vilmundur Gudnason, Nicholas J Wareham, James G Wilson, Cristen J Willer, Daniel R Witte, Eleftheria Zeggini, Danish Saleheen, Adam S Butterworth, John Danesh, Folkert W Asselbergs, Louise V Wain, Georg B Ehret, Daniel I Chasman, Mark J Caulfield, Paul Elliott, Cecilia M Lindgren, Daniel Levy, Christopher Newton-Cheh, Patricia B Munroe, Joanna M M Howson

Abstract

Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association. Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5×10(-)(8)) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant. We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 21%
Student > Master 11 11%
Professor 10 10%
Student > Ph. D. Student 9 9%
Student > Bachelor 8 8%
Other 19 19%
Unknown 22 22%
Readers by discipline Count As %
Medicine and Dentistry 41 41%
Biochemistry, Genetics and Molecular Biology 13 13%
Agricultural and Biological Sciences 7 7%
Psychology 3 3%
Social Sciences 3 3%
Other 7 7%
Unknown 26 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 August 2018.
All research outputs
#6,372,164
of 25,498,750 outputs
Outputs from Circulation: Genomic and Precision Medicine
#442
of 1,064 outputs
Outputs of similar age
#92,795
of 331,531 outputs
Outputs of similar age from Circulation: Genomic and Precision Medicine
#5
of 24 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 58% 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 331,531 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 71% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.