↓ Skip to main content

APOL1 G1 genotype modifies the association between HDLC and kidney function in African Americans

Overview of attention for article published in BMC Genomics, May 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 Mendeley
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.
Title
APOL1 G1 genotype modifies the association between HDLC and kidney function in African Americans
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1645-7
Pubmed ID
Authors

Amy R. Bentley, Jasmin Divers, Daniel Shriner, Ayo P. Doumatey, Orlando M. Gutiérrez, Adebowale A. Adeyemo, Barry I. Freedman, Charles N. Rotimi

Abstract

Despite evidence of an association between variants at the apolipoprotein L1 gene (APOL1) locus and a spectrum of related kidney diseases, underlying biological mechanisms remain unknown. An earlier preliminary study published by our group showed that an APOL1 variant (rs73885319) modified the association between high-density lipoprotein cholesterol (HDLC) and estimated glomerular filtration rate (eGFR) in African Americans. To further understand this relationship, we evaluated the interaction in two additional large cohorts of African Americans for a total of 3,592 unrelated individuals from the Howard University Family Study (HUFS), the Natural History of APOL1-Associated Nephropathy Study (NHAAN), and the Atherosclerosis Risk in Communities Study (ARIC). The association between HDLC and eGFR was determined using linear mixed models, and the interaction between rs73885319 genotype and HDLC was evaluated using a multiplicative term. Among individuals homozygous for the risk genotype, a strong inverse HDLC-eGFR association was observed, with a positive association in others (p for the interaction of the rs73885319 × HDLC =0.0001). The interaction was similar in HUFS and NHAAN, and attenuated in ARIC. Given that ARIC participants were older, we investigated an age effect; age was a significant modifier of the observed interaction. When older individuals were excluded, the interaction in ARIC was similar to that in the other studies. Based on these findings, it is clear that the relationship between HDLC and eGFR is strongly influenced by the APOL1 rs73885319 kidney risk genotype. Moreover, the degree to which this variant modifies the association may depend on the age of the individual. More detailed physiological studies are warranted to understand how rs73885319 may affect the relationship between HDLC and eGFR in individuals with and without disease and across the lifespan.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 4 22%
Professor > Associate Professor 3 17%
Researcher 2 11%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 9 50%
Biochemistry, Genetics and Molecular Biology 2 11%
Agricultural and Biological Sciences 2 11%
Environmental Science 2 11%
Unknown 3 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 January 2016.
All research outputs
#3,046,587
of 7,012,411 outputs
Outputs from BMC Genomics
#2,831
of 5,319 outputs
Outputs of similar age
#94,931
of 212,802 outputs
Outputs of similar age from BMC Genomics
#189
of 268 outputs
Altmetric has tracked 7,012,411 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
So far Altmetric has tracked 5,319 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 41st percentile – i.e., 41% 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 212,802 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 51% of its contemporaries.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.