Evidence map›Paper›PMID 35710981›Full record

ArticleNature genetics2022

Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease.

Hongbo Liu, Tomohito Doke, Dong Guo, Xin Sheng, Ziyuan Ma, Joseph Park, Ha My T Vy, Girish N Nadkarni, Amin Abedini, Zhen Miao and 7 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 8 pooled it
18.5field-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

143 citing papers in PubMed, 8 syntheses or guidelines pooled it, 205 citations in OpenAlex.

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  14. Salt and chronic kidney disease.Nature reviews. Nephrology · 2026
    Review
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83 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.

Hongbo LiuDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-0733-8616
Tomohito DokeDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-1641-9351
Dong GuoDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Baltimore, MD, USA.
Xin ShengDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-3620-3577
Ziyuan MaDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-1512-8993
Joseph ParkDepartment of Genetics, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-3313-641X
Ha My T VyDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Girish N NadkarniDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-6319-4314
Amin AbediniDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.
Zhen MiaoDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-3255-9517
Matthew PalmerPathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, USA.
Benjamin F VoightInstitute of Diabetes Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-6205-9994
Hongzhe LiDepartment of Biostatistics, Epidemiology, and Informatics, and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Christopher D BrownDepartment of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-1208-1720
Yan ShuDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-8492-1437
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 · USIcahn School of Medicine at Mount Sinai · USUniversity of Maryland, Baltimore · USHospital of the University of Pennsylvania · USTranslational Therapeutics (United States) · US

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL A. LAZAR · 1986 to 2026
$48.3M
TRANSGENIC AND CHIMERIC MOUSE COREP30DK050306 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Ken Hashigiwa Cadwell · 1997 to 2026
$32.5M
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
The role of cytosolic nucleotide sensors in inflammatory fibrosisR01DK132630 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2022 to 2025
$2.0M
NIDDK NIH HHS P30 DK019525NIDDK NIH HHS P30 DK050306NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635NIDDK NIH HHS R01 DK105821NIDDK NIH HHS R01 DK132630
6 · The paper itself

Abstract

More than 800 million people suffer from kidney disease, yet the mechanism of kidney dysfunction is poorly understood. In the present study, we define the genetic association with kidney function in 1.5 million individuals and identify 878 (126 new) loci. We map the genotype effect on the methylome in 443 kidneys, transcriptome in 686 samples and single-cell open chromatin in 57,229 kidney cells. Heritability analysis reveals that methylation variation explains a larger fraction of heritability than gene expression. We present a multi-stage prioritization strategy and prioritize target genes for 87% of kidney function loci. We highlight key roles of proximal tubules and metabolism in kidney function regulation. Furthermore, the causal role of SLC47A1 in kidney disease is defined in mice with genetic loss of Slc47a1 and in human individuals carrying loss-of-function variants. Our findings emphasize the key role of bulk and single-cell epigenomic information in translating genome-wide association studies into identifying causal genes, cellular origins and mechanisms of complex traits.

Indexed as

EpigenomicsKidney DiseasesAnimalsGenome-Wide Association StudyHumansMicePolymorphism, Single NucleotideTranscriptome

Identifiers

PMID35710981
PMCPMC11626562
OpenAlexW4282961980

What OpenQuestion holds

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LicenceTDM
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.