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Genetic loci influencing kidney function and chronic kidney disease

Overview of attention for article published in Nature Genetics, April 2010
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225 Mendeley
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Article details
Title
Genetic loci influencing kidney function and chronic kidney disease
Published in
Nature Genetics, April 2010
DOI 10.1038/ng.566
Pubmed ID
Authors

John C Chambers, Weihua Zhang, Graham M Lord, Pim van der Harst, Debbie A Lawlor, Joban S Sehmi, Daniel P Gale, Mark N Wass, Kourosh R Ahmadi, Stephan J L Bakker, Jacqui Beckmann, Henk J G Bilo, Murielle Bochud, Morris J Brown, Mark J Caulfield, John M C Connell, H Terence Cook, Ioana Cotlarciuc, George Davey Smith, Ranil de Silva, Guohong Deng, Olivier Devuyst, Lambert D Dikkeschei, Nada Dimkovic, Mark Dockrell, Anna Dominiczak, Shah Ebrahim, Thomas Eggermann, Martin Farrall, Luigi Ferrucci, Jurgen Floege, Nita G Forouhi, Ron T Gansevoort, Xijin Han, Bo Hedblad, Jaap J Homan van der Heide, Bouke G Hepkema, Maria Hernandez-Fuentes, Elina Hypponen, Toby Johnson, Paul E de Jong, Nanne Kleefstra, Vasiliki Lagou, Marta Lapsley, Yun Li, Ruth J F Loos, Jian'an Luan, Karin Luttropp, Céline Maréchal, Olle Melander, Patricia B Munroe, Louise Nordfors, Afshin Parsa, Leena Peltonen, Brenda W Penninx, Esperanza Perucha, Anneli Pouta, Inga Prokopenko, Paul J Roderick, Aimo Ruokonen, Nilesh J Samani, Serena Sanna, Martin Schalling, David Schlessinger, Georg Schlieper, Marc A J Seelen, Alan R Shuldiner, Marketa Sjögren, Johannes H Smit, Harold Snieder, Nicole Soranzo, Timothy D Spector, Peter Stenvinkel, Michael J E Sternberg, Ramasamyiyer Swaminathan, Toshiko Tanaka, Lielith J Ubink-Veltmaat, Manuela Uda, Peter Vollenweider, Chris Wallace, Dawn Waterworth, Klaus Zerres, Gerard Waeber, Nicholas J Wareham, Patrick H Maxwell, Mark I McCarthy, Marjo-Riitta Jarvelin, Vincent Mooser, Goncalo R Abecasis, Liz Lightstone, James Scott, Gerjan Navis, Paul Elliott, Jaspal S Kooner

Abstract

Using genome-wide association, we identify common variants at 2p12-p13, 6q26, 17q23 and 19q13 associated with serum creatinine, a marker of kidney function (P = 10(-10) to 10(-15)). Of these, rs10206899 (near NAT8, 2p12-p13) and rs4805834 (near SLC7A9, 19q13) were also associated with chronic kidney disease (P = 5.0 x 10(-5) and P = 3.6 x 10(-4), respectively). Our findings provide insight into metabolic, solute and drug-transport pathways underlying susceptibility to chronic kidney disease.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 <1%
Sri Lanka 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 218 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 44 20%
Student > Ph. D. Student 31 14%
Professor 21 9%
Student > Master 17 8%
Student > Bachelor 16 7%
Other 45 20%
Unknown 51 23%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 56 25%
Agricultural and Biological Sciences 39 17%
Biochemistry, Genetics and Molecular Biology 38 17%
Computer Science 7 3%
Immunology and Microbiology 5 2%
Other 21 9%
Unknown 59 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 September 2011.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Nature Genetics
#5,837
of 7,639 outputs
Outputs of similar age
#38,953
of 107,138 outputs
Outputs of similar age from Nature Genetics
#39
of 48 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 is in the 10th percentile – i.e., 10% 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 107,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.