Evidence map›Paper›PMID 37365616›Full record

ArticleGenome biology2023

Transcriptome- and proteome-wide association studies nominate determinants of kidney function and damage.

Pascal Schlosser, Jingning Zhang, Hongbo Liu, Aditya L Surapaneni, Eugene P Rhee, Dan E Arking, Bing Yu, Eric Boerwinkle, Paul A Welling, Nilanjan Chatterjee and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.2field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  16. Frontiers in nutrition · 2025
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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

13 authors at 5 institutions in 1 country.

Pascal SchlosserDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. pschlos3@jhu.edu.ORCID 0000-0002-8460-0462
Jingning ZhangDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Hongbo LiuDepartment of Medicine and Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Aditya L SurapaneniWelch Center for Prevention Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Eugene P RheeNephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA.
Dan E ArkingMcKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Bing YuEpidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Eric BoerwinkleEpidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Paul A WellingDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nilanjan ChatterjeeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Katalin SusztakDepartment of Medicine and Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USUniversity of Pennsylvania · USBaylor College of Medicine · USMassachusetts General Hospital · USThe University of Texas Health Science Center at Houston · US

Funding

Multi-Omics and Chronic Kidney Disease: Correlation with HistologyR01DK108803 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams, EUGENE P. RHEE · 2016 to 2026
$6.4M
Integrative Omics, Chronic Kidney Disease, and Adverse Outcomes in Older AdultsR01DK124399 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, Morgan Erika Grams · 2020 to 2026
$3.6M
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk PredictionR01HG010480 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2019 to 2023
$2.8M
Prevention and Treatment of Cardiovascular Disease in Patients with Chronic Kidney Disease: Patient-Oriented Research and Mentoring - RenewalK24HL155861 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams · 2021 to 2026
$732k
NHGRI NIH HHS R01 HG010480NHLBI NIH HHS K24 HL155861NIDDK NIH HHS R01 DK108803NIDDK NIH HHS R01 DK124399
6 · The paper itself

Abstract

backgroundThe pathophysiological causes of kidney disease are not fully understood. Here we show that the integration of genome-wide genetic, transcriptomic, and proteomic association studies can nominate causal determinants of kidney function and damage.

resultsThrough transcriptome-wide association studies (TWAS) in kidney cortex, kidney tubule, liver, and whole blood and proteome-wide association studies (PWAS) in plasma, we assess for effects of 12,893 genes and 1342 proteins on kidney filtration (glomerular filtration rate (GFR) estimated by creatinine; GFR estimated by cystatin C; and blood urea nitrogen) and kidney damage (albuminuria). We find 1561 associations distributed among 260 genomic regions that are supported as putatively causal. We then prioritize 153 of these genomic regions using additional colocalization analyses. Our genome-wide findings are supported by existing knowledge (animal models for MANBA, DACH1, SH3YL1, INHBB), exceed the underlying GWAS signals (28 region-trait combinations without significant GWAS hit), identify independent gene/protein-trait associations within the same genomic region (INHBC, SPRYD4), nominate tissues underlying the associations (tubule expression of NRBP1), and distinguish markers of kidney filtration from those with a role in creatinine and cystatin C metabolism. Furthermore, we follow up on members of the TGF-beta superfamily of proteins and find a prognostic value of INHBC for kidney disease progression even after adjustment for measured glomerular filtration rate (GFR).

conclusionIn summary, this study combines multimodal, genome-wide association studies to generate a catalog of putatively causal target genes and proteins relevant to kidney function and damage which can guide follow-up studies in physiology, basic science, and clinical medicine.

Indexed as

Renal Insufficiency, ChronicAnimalsCreatinineCystatin CGenome-Wide Association StudyKidneyProteomeProteomicsTranscriptomeCreatinineCystatin CProteomeACRBUNChronic kidney diseaseeGFREnd-stage kidney diseaseGeneticsGWASNephrologyProteomicsPWASTranscriptomicsTWAS

Identifiers

PMID37365616
PMCPMC10291807
OpenAlexW4382133262

What OpenQuestion holds

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LicenceCC BY
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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.