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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes
|
|---|---|
| Published in |
Diabetes, December 2015
|
| DOI | 10.2337/db15-1313 |
| Pubmed ID | |
| Authors |
Alexander Teumer, Adrienne Tin, Rossella Sorice, Mathias Gorski, Nan Cher Yeo, Audrey Y. Chu, Man Li, Yong Li, Vladan Mijatovic, Yi-An Ko, Daniel Taliun, Alessandro Luciani, Ming-Huei Chen, Qiong Yang, Meredith C. Foster, Matthias Olden, Linda T. Hiraki, Bamidele O. Tayo, Christian Fuchsberger, Aida Karina Dieffenbach, Alan R. Shuldiner, Albert V. Smith, Allison M. Zappa, Antonio Lupo, Barbara Kollerits, Belen Ponte, Bénédicte Stengel, Bernhard K. Krämer, Bernhard Paulweber, Braxton D. Mitchell, Caroline Hayward, Catherine Helmer, Christa Meisinger, Christian Gieger, Christian M. Shaffer, Christian Müller, Claudia Langenberg, Daniel Ackermann, David Siscovick, DCCT/EDIC, Eric Boerwinkle, Florian Kronenberg, Georg B. Ehret, Georg Homuth, Gerard Waeber, Gerjan Navis, Giovanni Gambaro, Giovanni Malerba, Gudny Eiriksdottir, Guo Li, H. Erich Wichmann, Harald Grallert, Henri Wallaschofski, Henry Völzke, Herrmann Brenner, Holly Kramer, I. Mateo Leach, Igor Rudan, Hans L. Hillege, Jacques S. Beckmann, Jean Charles Lambert, Jian'an Luan, Jing Hua Zhao, John Chalmers, Josef Coresh, Joshua C. Denny, Katja Butterbach, Lenore J. Launer, Luigi Ferrucci, Lyudmyla Kedenko, Margot Haun, Marie Metzger, Mark Woodward, Matthew J. Hoffman, Matthias Nauck, Melanie Waldenberger, Menno Pruijm, Murielle Bochud, Myriam Rheinberger, Niek Verweij, Nicholas J. Wareham, Nicole Endlich, Nicole Soranzo, Ozren Polasek, Pim van der Harst, Peter Paul Pramstaller, Peter Vollenweider, Philipp S. Wild, Ron T. Gansevoort, Rainer Rettig, Reiner Biffar, Robert J. Carroll, Ronit Katz, Ruth J.F. Loos, Shih-Jen Hwang, Stefan Coassin, Sven Bergmann, Sylvia E. Rosas, Sylvia Stracke, Tamara B. Harris, Tanguy Corre, Tanja Zeller, Thomas Illig, Thor Aspelund, Toshiko Tanaka, Uwe Lendeckel, Uwe Völker, Vilmundur Gudnason, Vincent Chouraki, Wolfgang Koenig, Zoltan Kutalik, Jeffrey R. O'Connell, Afshin Parsa, Iris M. Heid, Andrew D. Paterson, Ian H. de Boer, Olivier Devuyst, Jozef Lazar, Karlhans Endlich, Katalin Susztak, Johanne Tremblay, Pavel Hamet, Howard J. Jacob, Carsten A. Böger, Caroline S. Fox, Cristian Pattaro, Anna Köttgen |
| Abstract |
Elevated concentrations of albumin in the urine, albuminuria, are a hallmark of diabetic kidney disease and associate with increased risk for end-stage renal disease and cardiovascular events. To gain insight into the pathophysiological mechanisms underlying albuminuria, we conducted meta-analyses of genome-wide association studies and independent replication in up to 5,825 individuals of European ancestry with diabetes mellitus and up to 46,061 without diabetes, followed by functional studies. Known associations of variants in CUBN, encoding cubilin, with the urinary albumin-to-creatinine ratio (UACR) were confirmed in the overall sample (p=2.4*10(-10)). Gene-by-diabetes interactions were detected and confirmed for variants in HS6ST1 and near RAB38/CTSC. SNPs at these loci demonstrated a genetic effect on UACR in individuals with but not without diabetes. The change in average UACR per minor allele was 21% for HS6ST1 and 13% for RAB38/CTSC (p=6.3*10(-7) and 5.8*10(-7), respectively). Experiments using streptozotocin-treated diabetic Rab38 knockout and control rats showed higher urinary albumin concentrations and reduced amounts of megalin and cubilin at the proximal tubule cell surface in Rab38 knockout vs. control rats. Relative expression of RAB38 was higher in tubuli of patients with diabetic kidney disease compared to controls. The loci identified here confirm known and highlight novel pathways influencing albuminuria. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 5 | 31% |
| United Kingdom | 2 | 13% |
| Netherlands | 1 | 6% |
| Spain | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Iceland | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 182 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 18% |
| Student > Ph. D. Student | 28 | 15% |
| Student > Master | 16 | 9% |
| Student > Bachelor | 13 | 7% |
| Professor | 11 | 6% |
| Other | 46 | 25% |
| Unknown | 37 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 28% |
| Biochemistry, Genetics and Molecular Biology | 38 | 21% |
| Agricultural and Biological Sciences | 12 | 6% |
| Nursing and Health Professions | 8 | 4% |
| Social Sciences | 4 | 2% |
| Other | 22 | 12% |
| Unknown | 50 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 29 April 2021.
All research outputs
#1,203,742
of 26,017,215 outputs
Outputs from Diabetes
#448
of 10,004 outputs
Outputs of similar age
#19,835
of 401,234 outputs
Outputs of similar age from Diabetes
#13
of 84 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 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,004 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done particularly well, scoring higher than 95% 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 401,234 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 94% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.