Evidence map›Paper›PMID 33144501›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease.

Xin Sheng, Chengxiang Qiu, Hongbo Liu, Caroline Gluck, Jesse Y Hsu, Jiang He, Chi-Yuan Hsu, Daohang Sha, Matthew R Weir, Tamara Isakova and 6 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 4 pooled it
5.3field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 4 syntheses or guidelines pooled it, 106 citations in OpenAlex.

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

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

16 authors at 7 institutions in 1 country.

Xin ShengDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-3620-3577
Chengxiang QiuDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-6346-8669
Hongbo LiuDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-0733-8616
Caroline GluckDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0003-1880-2506
Jesse Y HsuDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, Tulane University Translational Science Institute, New Orleans, LA 70118.
Chi-Yuan HsuDivision of Nephrology, Department of Medicine, University of California, San Francisco, CA 94143.ORCID 0000-0001-8182-1238
Daohang ShaCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-1229-0768
Matthew R WeirDivision of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201.ORCID 0000-0001-8820-5702
Tamara IsakovaDivision of Nephrology and Hypertension, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611.
Dominic RajDivision of Kidney Disease and Hypertension, George Washington University School of Medicine, Washington, DC 20052.ORCID 0000-0001-9647-083X
Hernan Rincon-CholesDepartment of Nephrology, Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, OH 44125.ORCID 0000-0003-3559-4374
Harold I FeldmanDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA 19104.
Raymond TownsendDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-3215-9118
Hongzhe LiDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Katalin SusztakDepartment of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, PA 19104; ksusztak@pennmedicine.upenn.edu.ORCID 0000-0002-1005-3726
University of Pennsylvania · USCleveland Clinic · USGeorge Washington University · USNorthwestern University · USTulane University · USUniversity of California, San Francisco · USUniversity of Maryland, Baltimore · US

Funding

Scientific and Data Coordinating Center(SDCC) for the P*U01DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2001 to 2017
$50.1M
VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Patrick Seale · 1986 to 2026
$48.3M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Continuation of the Coordinating Center for the Chronic Renal Insufficiency Cohort (CRIC) StudyU24DK060990 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Amanda Hyre Anderson, Laura M Dember · 2018 to 2026
$21.5M
Study of the Care and Outcomes of REnal InsufficiencyU01DK060902 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2001 to 2025
$19.5M
Limited Competition for the Continuation of the Chronic Renal Insufficiency CohorU01DK061021 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI RAHMAN, MAHBOOB · 2001 to 2025
$17.3M
Prospective Renal Insufficiency Cohort Evaluation:PRICEU01DK060984 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI COHEN, DEBBIE L · 2001 to 2025
$17.0M
Prospective Cohort Study of Chronic Renal InsufficiencyU01DK061028 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, PANDURANGA S · 2001 to 2025
$16.9M
Limited Competition for the Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Hopkins Clinical CenterU01DK061022 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI APPEL, LAWRENCE JOHN · 2001 to 2025
$15.7M
Proposal for a Chicago-CRIC Clinical CenterU01DK060980 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LASH, JAMES P. · 2001 to 2025
$15.4M
Tulane Clinical Center for Chronic Renal Insufficiency Cohort StudyU01DK060963 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, JING, HAMM, L LEE · 2001 to 2025
$13.9M
NCATS NIH HHS UL1 TR002548NIDDK NIH HHS P30 DK019525NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635NIDDK NIH HHS R01 DK105821NIDDK NIH HHS U01 DK060902NIDDK NIH HHS U01 DK060963NIDDK NIH HHS U01 DK060980NIDDK NIH HHS U01 DK060984NIDDK NIH HHS U01 DK060990NIDDK NIH HHS U01 DK061021NIDDK NIH HHS U01 DK061022NIDDK NIH HHS U01 DK061028NIDDK NIH HHS U24 DK060990NIGMS NIH HHS P20 GM109036NIGMS NIH HHS R01 GM129781
6 · The paper itself

Abstract

Poor metabolic control and host genetic predisposition are critical for diabetic kidney disease (DKD) development. The epigenome integrates information from sequence variations and metabolic alterations. Here, we performed a genome-wide methylome association analysis in 500 subjects with DKD from the Chronic Renal Insufficiency Cohort for DKD phenotypes, including glycemic control, albuminuria, kidney function, and kidney function decline. We show distinct methylation patterns associated with each phenotype. We define methylation variations that are associated with underlying nucleotide variations (methylation quantitative trait loci) and show that underlying genetic variations are important drivers of methylation changes. We implemented Bayesian multitrait colocalization analysis (moloc) and summary data-based Mendelian randomization to systematically annotate genomic regions that show association with kidney function, methylation, and gene expression. We prioritized 40 loci, where methylation and gene-expression changes likely mediate the genotype effect on kidney disease development. Functional annotation suggested the role of inflammation, specifically, apoptotic cell clearance and complement activation in kidney disease development. Our study defines methylation changes associated with DKD phenotypes, the key role of underlying genetic variations driving methylation variations, and prioritizes methylome and gene-expression changes that likely mediate the genotype effect on kidney disease pathogenesis.

Indexed as

Epigenesis, GeneticGenetic VariationGenome-Wide Association StudyBayes TheoremCohort StudiesDiabetes MellitusDiabetic NephropathiesDNA MethylationFemaleGene ExpressionGenetic Predisposition to DiseaseGenomicsGenotypeHumansMalePhenotypechronic kidney diseaseepigeneticsmethylation quantitative trait loci (mQTL)multiomics integration analysismultitrait colocalization analysis (moloc)

Identifiers

PMID33144501
PMCPMC7682409
OpenAlexW3095452393

What OpenQuestion holds

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Registered trials

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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.