Evidence map›Paper›PMID 30275566›Full record

ArticleNature medicine2018

Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease.

Chengxiang Qiu, Shizheng Huang, Jihwan Park, YoSon Park, Yi-An Ko, Matthew J Seasock, Joshua S Bryer, Xiang-Xi Xu, Wen-Chao Song, Matthew Palmer and 7 more

Abstract read
In one paragraph

Article in Nature medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 7 pooled it
11.6field-weighted citation impact, top 1% 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

157 citing papers in PubMed, 7 syntheses or guidelines pooled it, 233 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Genome-Wide Association Study for eGFR in a Taiwanese Population.Clinical journal of the American Society of Nephrology : CJASN · 2022
    Pooled it
  5. Pooled it
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  7. Pooled it
  8. Trial
  9. Article
  10. Review
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. From GWAS Signals to Causal Genes in Chronic Kidney Disease.Current issues in molecular biology · 2026
    Review
  18. Article
  19. Review
  20. A Multiomics Study of Circulating Proteins and Kidney Stone Risk.Journal of the American Society of Nephrology : JASN · 2025
    Article

97 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 1 country.

Chengxiang QiuDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.
Shizheng HuangDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-9240-1578
Jihwan ParkDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-5728-912X
YoSon ParkDepartment of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Yi-An KoDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.
Matthew J SeasockDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-5940-5913
Joshua S BryerDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.
Xiang-Xi XuDepartment of Cell Biology, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
Wen-Chao SongDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine at University of Pennsylvania, Pennsylvania, PA, USA.
Matthew PalmerPathology and Laboratory Medicine at the Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Jon HillBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Paolo GuarnieriBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Julie HawkinsBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Carine M Boustany-KariBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Steven S PullenBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Christopher D BrownDepartment of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Katalin SusztakDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA. ksusztak@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-1005-3726
University of Pennsylvania · USBoehringer Ingelheim (United States) · USHospital of the University of Pennsylvania · USTranslational Therapeutics (United States) · USUniversity of Miami · US

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Patrick Seale · 1986 to 2026
$48.3M
TRANSGENIC AND CHIMERIC MOUSE COREP30DK050306 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Ken Hashigiwa Cadwell · 1997 to 2026
$32.5M
Multidisciplinary Training in Cardiovascular BiologyT32HL007954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DAVIES, PETER FRANCIS · 2000 to 2019
$9.9M
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
APOL1 associated kidney diseaseR01DK105821 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2016 to 2024
$4.6M
Epigenetic drivers and biomarkers of diabetic kidney diseaseDP3DK108220 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2015 to 2015
$2.4M
NHLBI NIH HHS T32 HL007954NIDDK NIH HHS DP3 DK108220NIDDK NIH HHS P30 DK019525NIDDK NIH HHS P30 DK050306NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635NIDDK NIH HHS R01 DK105821
6 · The paper itself

Abstract

Chronic kidney disease (CKD), a condition in which the kidneys are unable to clear waste products, affects 700 million people globally. Genome-wide association studies (GWASs) have identified sequence variants for CKD; however, the biological basis of these GWAS results remains poorly understood. To address this issue, we created an expression quantitative trait loci (eQTL) atlas for the glomerular and tubular compartments of the human kidney. Through integrating the CKD GWAS with eQTL, single-cell RNA sequencing and regulatory region maps, we identified novel genes for CKD. Putative causal genes were enriched for proximal tubule expression and endolysosomal function, where DAB2, an adaptor protein in the TGF-β pathway, formed a central node. Functional experiments confirmed that reducing Dab2 expression in renal tubules protected mice from CKD. In conclusion, compartment-specific eQTL analysis is an important avenue for the identification of novel genes and cellular pathways involved in CKD development and thus potential new opportunities for its treatment.

Indexed as

Genetic Predisposition to DiseaseAdaptor Proteins, Signal TransducingAnimalsApoptosis Regulatory ProteinsCell CompartmentationDisease Models, AnimalGene Expression RegulationGenome-Wide Association StudyHumansKidneyKidney GlomerulusKidney Tubules, ProximalMicePolymorphism, Single NucleotideQuantitative Trait LociRenal Insufficiency, ChronicAdaptor Proteins, Signal TransducingApoptosis Regulatory ProteinsDAB2 protein, humanTransforming Growth Factor betaTumor Suppressor Proteins

Identifiers

PMID30275566
PMCPMC6301011
OpenAlexW2894064654

What OpenQuestion holds

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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.