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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association study identifies eight loci associated with blood pressure
|
|---|---|
| Published in |
Nature Genetics, May 2009
|
| DOI | 10.1038/ng.361 |
| Pubmed ID | |
| Authors |
Christopher Newton-Cheh, Toby Johnson, Vesela Gateva, Martin D Tobin, Murielle Bochud, Lachlan Coin, Samer S Najjar, Jing Hua Zhao, Simon C Heath, Susana Eyheramendy, Konstantinos Papadakis, Benjamin F Voight, Laura J Scott, Feng Zhang, Martin Farrall, Toshiko Tanaka, Chris Wallace, John C Chambers, Kay-Tee Khaw, Peter Nilsson, Pim van der Harst, Silvia Polidoro, Diederick E Grobbee, N Charlotte Onland-Moret, Michiel L Bots, Louise V Wain, Katherine S Elliott, Alexander Teumer, Jian'an Luan, Gavin Lucas, Johanna Kuusisto, Paul R Burton, David Hadley, Wendy L McArdle, Morris Brown, Anna Dominiczak, Stephen J Newhouse, Nilesh J Samani, John Webster, Eleftheria Zeggini, Jacques S Beckmann, Sven Bergmann, Noha Lim, Kijoung Song, Peter Vollenweider, Gerard Waeber, Dawn M Waterworth, Xin Yuan, Leif Groop, Marju Orho-Melander, Alessandra Allione, Alessandra Di Gregorio, Simonetta Guarrera, Salvatore Panico, Fulvio Ricceri, Valeria Romanazzi, Carlotta Sacerdote, Paolo Vineis, Inês Barroso, Manjinder S Sandhu, Robert N Luben, Gabriel J Crawford, Pekka Jousilahti, Markus Perola, Michael Boehnke, Lori L Bonnycastle, Francis S Collins, Anne U Jackson, Karen L Mohlke, Heather M Stringham, Timo T Valle, Cristen J Willer, Richard N Bergman, Mario A Morken, Angela Döring, Christian Gieger, Thomas Illig, Thomas Meitinger, Elin Org, Arne Pfeufer, H Erich Wichmann, Sekar Kathiresan, Jaume Marrugat, Christopher J O'Donnell, Stephen M Schwartz, David S Siscovick, Isaac Subirana, Nelson B Freimer, Anna-Liisa Hartikainen, Mark I McCarthy, Paul F O'Reilly, Leena Peltonen, Anneli Pouta, Paul E de Jong, Harold Snieder, Wiek H van Gilst, Robert Clarke, Anuj Goel, Anders Hamsten, John F Peden, Udo Seedorf, Ann-Christine Syvänen, Giovanni Tognoni, Edward G Lakatta, Serena Sanna, Paul Scheet, David Schlessinger, Angelo Scuteri, Marcus Dörr, Florian Ernst, Stephan B Felix, Georg Homuth, Roberto Lorbeer, Thorsten Reffelmann, Rainer Rettig, Uwe Völker, Pilar Galan, Ivo G Gut, Serge Hercberg, G Mark Lathrop, Diana Zelenika, Panos Deloukas, Nicole Soranzo, Frances M Williams, Guangju Zhai, Veikko Salomaa, Markku Laakso, Roberto Elosua, Nita G Forouhi, Henry Völzke, Cuno S Uiterwaal, Yvonne T van der Schouw, Mattijs E Numans, Giuseppe Matullo, Gerjan Navis, Göran Berglund, Sheila A Bingham, Jaspal S Kooner, John M Connell, Stefania Bandinelli, Luigi Ferrucci, Hugh Watkins, Tim D Spector, Jaakko Tuomilehto, David Altshuler, David P Strachan, Maris Laan, Pierre Meneton, Nicholas J Wareham, Manuela Uda, Marjo-Riitta Jarvelin, Vincent Mooser, Olle Melander, Ruth JF Loos, Paul Elliott, Gonçalo R Abecasis, Mark Caulfield, Patricia B Munroe |
| Abstract |
Elevated blood pressure is a common, heritable cause of cardiovascular disease worldwide. To date, identification of common genetic variants influencing blood pressure has proven challenging. We tested 2.5 million genotyped and imputed SNPs for association with systolic and diastolic blood pressure in 34,433 subjects of European ancestry from the Global BPgen consortium and followed up findings with direct genotyping (N ≤ 71,225 European ancestry, N ≤ 12,889 Indian Asian ancestry) and in silico comparison (CHARGE consortium, N = 29,136). We identified association between systolic or diastolic blood pressure and common variants in eight regions near the CYP17A1 (P = 7 × 10(-24)), CYP1A2 (P = 1 × 10(-23)), FGF5 (P = 1 × 10(-21)), SH2B3 (P = 3 × 10(-18)), MTHFR (P = 2 × 10(-13)), c10orf107 (P = 1 × 10(-9)), ZNF652 (P = 5 × 10(-9)) and PLCD3 (P = 1 × 10(-8)) genes. All variants associated with continuous blood pressure were associated with dichotomous hypertension. These associations between common variants and blood pressure and hypertension offer mechanistic insights into the regulation of blood pressure and may point to novel targets for interventions to prevent cardiovascular disease. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 577 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| United Kingdom | 10 | 2% |
| Germany | 3 | <1% |
| Netherlands | 2 | <1% |
| New Zealand | 2 | <1% |
| Kenya | 2 | <1% |
| Sweden | 2 | <1% |
| Pakistan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 13 | 2% |
| Unknown | 529 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 134 | 23% |
| Student > Ph. D. Student | 105 | 18% |
| Professor | 61 | 11% |
| Student > Bachelor | 42 | 7% |
| Professor > Associate Professor | 41 | 7% |
| Other | 119 | 21% |
| Unknown | 75 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 160 | 28% |
| Agricultural and Biological Sciences | 145 | 25% |
| Biochemistry, Genetics and Molecular Biology | 88 | 15% |
| Computer Science | 14 | 2% |
| Neuroscience | 12 | 2% |
| Other | 70 | 12% |
| Unknown | 88 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 14 February 2021.
All research outputs
#800,059
of 26,017,215 outputs
Outputs from Nature Genetics
#1,469
of 7,639 outputs
Outputs of similar age
#1,826
of 107,277 outputs
Outputs of similar age from Nature Genetics
#2
of 60 outputs
Altmetric has tracked 26,017,215 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 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 80% 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 107,277 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 97% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.