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Genetics of kidney disease and related cardiometabolic phenotypes in Zuni Indians: the Zuni Kidney Project

Overview of attention for article published in Frontiers in Genetics, January 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Genetics of kidney disease and related cardiometabolic phenotypes in Zuni Indians: the Zuni Kidney Project
Published in
Frontiers in Genetics, January 2015
DOI 10.3389/fgene.2015.00006
Pubmed ID
Authors

Sandra L. Laston, V. Saroja Voruganti, Karin Haack, Vallabh O. Shah, Arlene Bobelu, Jeanette Bobelu, Donica Ghahate, Antonia M. Harford, Susan S. Paine, Francesca Tentori, Shelley A. Cole, Jean W. MacCluer, Anthony G. Comuzzie, Philip G. Zager

Abstract

The objective of this study is to identify genetic factors associated with chronic kidney disease (CKD) and related cardiometabolic phenotypes among participants of the Genetics of Kidney Disease in Zuni Indians study. The study was conducted as a community-based participatory research project in the Zuni Indians, a small endogamous tribe in rural New Mexico. We recruited 998 members from 28 extended multigenerational families, ascertained through probands with CKD who had at least one sibling with CKD. We used the Illumina Infinium Human1M-Duo version 3.0 BeadChips to type 1.1 million single nucleotide polymorphisms (SNPs). Prevalence estimates for CKD, hyperuricemia, diabetes, and hypertension were 24%, 30%, 17% and 34%, respectively. We found a significant (p < 1.58 × 10(-7)) association for a SNP in a novel gene for serum creatinine (PTPLAD2). We replicated significant associations for genes with serum uric acid (SLC2A9), triglyceride levels (APOA1, BUD13, ZNF259), and total cholesterol (PVRL2). We found novel suggestive associations (p < 1.58 × 10(-6)) for SNPs in genes with systolic (OLFML2B), and diastolic blood pressure (NFIA). We identified a series of genes associated with CKD and related cardiometabolic phenotypes among Zuni Indians, a population with a high prevalence of kidney disease. Illuminating genetic variations that modulate the risk for these disorders may ultimately provide a basis for novel preventive strategies and therapeutic interventions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Ph. D. Student 6 14%
Student > Bachelor 6 14%
Other 3 7%
Student > Doctoral Student 3 7%
Other 11 26%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Agricultural and Biological Sciences 8 19%
Biochemistry, Genetics and Molecular Biology 4 10%
Nursing and Health Professions 4 10%
Social Sciences 4 10%
Other 5 12%
Unknown 7 17%
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 31 January 2015.
All research outputs
#13,934,368
of 24,410,160 outputs
Outputs from Frontiers in Genetics
#2,935
of 13,153 outputs
Outputs of similar age
#174,431
of 362,080 outputs
Outputs of similar age from Frontiers in Genetics
#65
of 138 outputs
Altmetric has tracked 24,410,160 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,153 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 362,080 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 138 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.