Evidence map›Paper›PMID 34272381›Full record

SynthesisNature communications2021

Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals.

Kira J Stanzick, Yong Li, Pascal Schlosser, Mathias Gorski, Matthias Wuttke, Laurent F Thomas, Humaira Rasheed, Bryce X Rowan, Sarah E Graham, Brett R Vanderweff and 15 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 206 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
206citing papers in PubMed, 19 pooled it
95.1field-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

206 citing papers in PubMed, 19 syntheses or guidelines pooled it, 309 citations in OpenAlex.

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  14. Genome-Wide Association Study for eGFR in a Taiwanese Population.Clinical journal of the American Society of Nephrology : CJASN · 2022
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146 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

25 authors at 9 institutions in 5 countries.

Kira J StanzickDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.ORCID 0000-0001-6427-5212
Yong LiInstitute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.ORCID 0000-0003-2651-8791
Pascal SchlosserInstitute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.ORCID 0000-0002-8460-0462
Mathias GorskiDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Matthias WuttkeInstitute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.ORCID 0000-0003-3420-5082
Laurent F ThomasK. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-0548-2486
Humaira RasheedK. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-3331-5864
Bryce X RowanDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Sarah E GrahamDepartment of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-1271-2489
Brett R VanderweffDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Snehal B PatilDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
VA Million Veteran Program
Cassiane Robinson-CohenDepartment of Veteran's Affairs, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville, TN, USA.
John M GazianoMassachusetts Area Veterans Epidemiology Research and Information Center (MAVERIC), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA.
Christopher J O'DonnellVA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0002-2667-8624
Cristen J WillerDepartment of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-5645-4966
Stein HallanDepartment of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Bjørn Olav ÅsvoldK. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-3837-2101
Andre GessnerInstitute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany.
Adriana M HungDepartment of Veteran's Affairs, Tennessee Valley Healthcare System (626)/Vanderbilt University, Nashville, TN, USA.
Cristian PattaroEurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy.ORCID 0000-0002-4119-0109
Anna KöttgenInstitute of Genetic Epidemiology, Department of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.ORCID 0000-0002-4671-3714
Klaus J StarkDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Iris M HeidDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Thomas W WinklerDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany. thomas.winkler@klinik.uni-regensburg.de.ORCID 0000-0003-0292-5421
Norwegian University of Science and Technology · NOUniversity of Michigan · USUniversity of Regensburg · DEVanderbilt University · USUniversity of Freiburg · DEEurac Research · ITHarvard University · USJohns Hopkins University · USUniversity Hospital Regensburg · DE

Funding

Genetics of CKD and Hypertension-Risk Prediction and Drug Response in the MVPI01CX001897 · VA · VETERANS HEALTH ADMINISTRATION · PI Adriana Hung · 2020 to 2026
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CSRD VA I01 CX001897Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Genes underneath signals from genome-wide association studies (GWAS) for kidney function are promising targets for functional studies, but prioritizing variants and genes is challenging. By GWAS meta-analysis for creatinine-based estimated glomerular filtration rate (eGFR) from the Chronic Kidney Disease Genetics Consortium and UK Biobank (n = 1,201,909), we expand the number of eGFRcrea loci (424 loci, 201 novel; 9.8% eGFRcrea variance explained by 634 independent signal variants). Our increased sample size in fine-mapping (n = 1,004,040, European) more than doubles the number of signals with resolved fine-mapping (99% credible sets down to 1 variant for 44 signals, ≤5 variants for 138 signals). Cystatin-based eGFR and/or blood urea nitrogen association support 348 loci (n = 460,826 and 852,678, respectively). Our customizable tool for Gene PrioritiSation reveals 23 compelling genes including mechanistic insights and enables navigation through genes and variants likely relevant for kidney function in human to help select targets for experimental follow-up.

Indexed as

Genetic Predisposition to DiseaseBiomarkersCreatinineCystatinsDatabases, GeneticEuropeGene Expression RegulationGenome-Wide Association StudyGlomerular Filtration RateHumansKidneyOrgan SpecificityQuantitative Trait LociRenal Insufficiency, ChronicRisk FactorsRNA-SeqBiomarkersCreatinineCystatins

Identifiers

PMID34272381
PMCPMC8285412
OpenAlexW3182222456

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.