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Serum iron level and kidney function: a Mendelian randomization study

Overview of attention for article published in Nephrology Dialysis Transplantation, June 2016
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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 (75th percentile)

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Title
Serum iron level and kidney function: a Mendelian randomization study
Published in
Nephrology Dialysis Transplantation, June 2016
DOI 10.1093/ndt/gfw215
Pubmed ID
Authors

Fabiola Del Greco M., Luisa Foco, Irene Pichler, Philipp Eller, Kathrin Eller, Beben Benyamin, John B. Whitfield, Peter P. Pramstaller, John R. Thompson, Cristian Pattaro, Cosetta Minelli

Abstract

Iron depletion is a known consequence of chronic kidney disease (CKD), but there is contradicting epidemiological evidence on whether iron itself affects kidney function and whether its effect is protective or detrimental in the general population. While epidemiological studies tend to be affected by confounding and reverse causation, Mendelian randomization (MR) can provide unconfounded estimates of causal effects by using genes as instruments. We performed an MR study of the effect of serum iron levels on estimated glomerular filtration rate (eGFR), using genetic variants known to be associated with iron. MR estimates of the effect of iron on eGFR were derived based on the association of each variant with iron and eGFR from two large genome-wide meta-analyses on 48 978 and 74 354 individuals. We performed a similar MR analysis for ferritin, which measures iron stored in the body, using variants associated with ferritin. A combined MR estimate across all variants showed a 1.3% increase in eGFR per standard deviation increase in iron (95% confidence interval 0.4-2.1%; P = 0.004). The results for ferritin were consistent with those for iron. Secondary MR analyses of the effects of iron and ferritin on CKD did not show significant associations but had very low statistical power. Our study suggests a protective effect of iron on kidney function in the general population. Further research is required to confirm this causal association, investigate it in study populations at higher risk of CKD and explore its underlying mechanism of action.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Researcher 6 12%
Student > Doctoral Student 5 10%
Student > Bachelor 4 8%
Other 4 8%
Other 8 15%
Unknown 15 29%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Agricultural and Biological Sciences 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Nursing and Health Professions 3 6%
Mathematics 2 4%
Other 4 8%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 April 2018.
All research outputs
#6,202,906
of 23,310,485 outputs
Outputs from Nephrology Dialysis Transplantation
#2,287
of 6,045 outputs
Outputs of similar age
#98,021
of 340,724 outputs
Outputs of similar age from Nephrology Dialysis Transplantation
#28
of 109 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 6,045 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 61% 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 340,724 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 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.