You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association study of kidney function decline in individuals of European descent
|
|---|---|
| Published in |
Kidney International, December 2014
|
| DOI | 10.1038/ki.2014.361 |
| Pubmed ID | |
| Authors |
Mathias Gorski, Adrienne Tin, Maija Garnaas, Gearoid M. McMahon, Audrey Y. Chu, Bamidele O. Tayo, Cristian Pattaro, Alexander Teumer, Daniel I. Chasman, John Chalmers, Pavel Hamet, Johanne Tremblay, Marc Woodward, Thor Aspelund, Gudny Eiriksdottir, Vilmundur Gudnason, Tamara B. Harris, Lenore J. Launer, Albert V. Smith, Braxton D. Mitchell, Jeffrey R. O'Connell, Alan R. Shuldiner, Josef Coresh, Man Li, Paul Freudenberger, Edith Hofer, Helena Schmidt, Reinhold Schmidt, Elizabeth G. Holliday, Paul Mitchell, Jie Jin Wang, Ian H. de Boer, Guo Li, David S. Siscovick, Zoltan Kutalik, Tanguy Corre, Peter Vollenweider, Gérard Waeber, Jayanta Gupta, Peter A. Kanetsky, Shih-Jen Hwang, Matthias Olden, Qiong Yang, Mariza de Andrade, Elizabeth J. Atkinson, Sharon L.R. Kardia, Stephen T. Turner, Jeanette M. Stafford, Jingzhong Ding, Yongmei Liu, Cristina Barlassina, Daniele Cusi, Erika Salvi, Jan A. Staessen, Paul M. Ridker, Harald Grallert, Christa Meisinger, Martina Müller-Nurasyid, Bernhard K. Krämer, Holly Kramer, Sylvia E. Rosas, Ilja M. Nolte, Brenda W. Penninx, Harold Snieder, M. Fabiola Del Greco, Andre Franke, Ute Nöthlings, Wolfgang Lieb, Stephan J.L. Bakker, Ron T. Gansevoort, Pim van der Harst, Abbas Dehghan, Oscar H. Franco, Albert Hofman, Fernando Rivadeneira, Sanaz Sedaghat, André G. Uitterlinden, Stefan Coassin, Margot Haun, Barbara Kollerits, Florian Kronenberg, Bernhard Paulweber, Nicole Aumann, Karlhans Endlich, Mike Pietzner, Uwe Völker, Rainer Rettig, Vincent Chouraki, Catherine Helmer, Jean-Charles Lambert, Marie Metzger, Benedicte Stengel, Terho Lehtimäki, Leo-Pekka Lyytikäinen, Olli Raitakari, Andrew Johnson, Afshin Parsa, Murielle Bochud, Iris M. Heid, Wolfram Goessling, Anna Köttgen, W.H. Linda Kao, Caroline S. Fox, Carsten A. Böger |
| Abstract |
Genome-wide association studies (GWASs) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially from 16 cohorts with serial kidney function measurements within the CKDGen Consortium, followed by independent replication among additional participants from 13 cohorts. In stage 1 GWAS meta-analysis, single-nucleotide polymorphisms (SNPs) at MEOX2, GALNT11, IL1RAP, NPPA, HPCAL1, and CDH23 showed the strongest associations for at least one trait, in addition to the known UMOD locus, which showed genome-wide significance with an annual change in eGFR. In stage 2 meta-analysis, the significant association at UMOD was replicated. Associations at GALNT11 with Rapid Decline (annual eGFR decline of 3 ml/min per 1.73 m(2) or more), and CDH23 with eGFR change among those with CKD showed significant suggestive evidence of replication. Combined stage 1 and 2 meta-analyses showed significance for UMOD, GALNT11, and CDH23. Morpholino knockdowns of galnt11 and cdh23 in zebrafish embryos each had signs of severe edema 72 h after gentamicin treatment compared with controls, but no gross morphological renal abnormalities before gentamicin administration. Thus, our results suggest a role in the deterioration of kidney function for the loci GALNT11 and CDH23, and show that the UMOD locus is significantly associated with kidney function decline.Kidney International advance online publication, 10 December 2014; doi:10.1038/ki.2014.361. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 27% |
| India | 2 | 13% |
| United Kingdom | 2 | 13% |
| Denmark | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
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 % |
|---|---|---|
| Spain | 2 | 1% |
| Iceland | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 147 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 16% |
| Professor | 20 | 13% |
| Student > Ph. D. Student | 17 | 11% |
| Student > Master | 17 | 11% |
| Student > Postgraduate | 9 | 6% |
| Other | 37 | 24% |
| Unknown | 27 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 29% |
| Biochemistry, Genetics and Molecular Biology | 21 | 14% |
| Agricultural and Biological Sciences | 16 | 11% |
| Unspecified | 6 | 4% |
| Nursing and Health Professions | 4 | 3% |
| Other | 18 | 12% |
| Unknown | 43 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 31 August 2017.
All research outputs
#2,089,027
of 25,374,647 outputs
Outputs from Kidney International
#754
of 7,406 outputs
Outputs of similar age
#28,035
of 368,312 outputs
Outputs of similar age from Kidney International
#6
of 47 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,406 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 89% 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 368,312 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 92% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.