Evidence map›Paper›PMID 25231882›Full record

ArticleJournal of the American Society of Nephrology : JASN2015

Functional genomic annotation of genetic risk loci highlights inflammation and epithelial biology networks in CKD.

Nora Ledo, Yi-An Ko, Ae-Seo Deok Park, Hyun-Mi Kang, Sang-Youb Han, Peter Choi, Katalin Susztak

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. The effects of elevated phosphate on the kidney - damaging the gatekeeper.Pflugers Archiv : European journal of physiology · 2026
    Review
  3. Article
  4. Updates on renal phosphate transport.Current opinion in nephrology and hypertension · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. UMOD and the architecture of kidney disease.Pflugers Archiv : European journal of physiology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Expression ofAmerican journal of physiology. Renal physiology · 2020
    Article
  16. Review
  17. Uromodulin (Tamm-Horsfall protein): guardian of urinary and systemic homeostasis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Review
  18. Article
  19. The kidney transcriptome, from single cells to whole organs and back.Current opinion in nephrology and hypertension · 2019
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Nora LedoRenal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Yi-An KoRenal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Ae-Seo Deok ParkRenal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Hyun-Mi KangRenal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Sang-Youb HanRenal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Peter ChoiRenal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Katalin SusztakRenal Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania ksusztak@mail.med.upenn.edu.
University of Pennsylvania · US

Funding

Role of the Notch Pathway in Kidney InjuryR01DK076077 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2007 to 2026
$8.0M
Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
Epigenetic drivers and biomarkers of diabetic kidney diseaseDP3DK108220 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2015 to 2015
$2.4M
NIDDK NIH HHS DK076077NIDDK NIH HHS DK087635NIDDK NIH HHS DP3 DK108220NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have identified multiple loci associated with the risk of CKD. Almost all risk variants are localized to the noncoding region of the genome; therefore, the role of these variants in CKD development is largely unknown. We hypothesized that polymorphisms alter transcription factor binding, thereby influencing the expression of nearby genes. Here, we examined the regulation of transcripts in the vicinity of CKD-associated polymorphisms in control and diseased human kidney samples and used systems biology approaches to identify potentially causal genes for prioritization. We interrogated the expression and regulation of 226 transcripts in the vicinity of 44 single nucleotide polymorphisms using RNA sequencing and gene expression arrays from 95 microdissected control and diseased tubule samples and 51 glomerular samples. Gene expression analysis from 41 tubule samples served for external validation. 92 transcripts in the tubule compartment and 34 transcripts in glomeruli showed statistically significant correlation with eGFR. Many novel genes, including ACSM2A/2B, FAM47E, and PLXDC1, were identified. We observed that the expression of multiple genes in the vicinity of any single CKD risk allele correlated with renal function, potentially indicating that genetic variants influence multiple transcripts. Network analysis of GFR-correlating transcripts highlighted two major clusters; a positive correlation with epithelial and vascular functions and an inverse correlation with inflammatory gene cluster. In summary, our functional genomics analysis highlighted novel genes and critical pathways associated with kidney function for future analysis.

Indexed as

Genome-Wide Association StudyCase-Control StudiesHumansInflammationKidney GlomerulusPolymorphism, GeneticRenal Insufficiency, ChronicUromodulinUrotheliumUMOD protein, humanUromodulinCKDgene expressiongenetics of complex trait

Identifiers

PMID25231882
PMCPMC4341476
OpenAlexW2123149457

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.