Evidence map›Paper›PMID 37231333›Full record

ArticleBMC genomic data2023

Polygenic scores for estimated glomerular filtration rate in a population of general adults and elderly - comparative results from the KORA and AugUR study.

Janina M Herold, Jana Nano, Mathias Gorski, Thomas W Winkler, Kira J Stanzick, Martina E Zimmermann, Caroline Brandl, Annette Peters, Wolfgang Koenig, Ralph Burkhardt and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomic data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 5 institutions in 2 countries.

Janina M HeroldDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Jana NanoInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Mathias GorskiDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Thomas W WinklerDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Kira J StanzickDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Martina E ZimmermannDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Caroline BrandlDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Wolfgang KoenigDeutsches Herzzentrum München, Technische Universität München, Munich, Germany.
Ralph BurkhardtInstitute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany.
André GessnerInstitute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany.
Iris M HeidDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Christian GiegerInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Klaus J StarkDepartment of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany. klaus.stark@klinik.uni-regensburg.de.
University of Regensburg · DEUniversity Hospital Regensburg · DEHelmholtz Zentrum München · DETechnical University of Munich · DEZimmer Biomet (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolygenic scores (PGSs) combining genetic variants found to be associated with creatinine-based estimated glomerular filtration rate (eGFR

resultsWe derived a PGS for cystatin-based eGFR (eGFR

conclusionsWe concluded that the difference in explained variance by PGS was due to the higher age- and sex-adjusted eGFR variance in the elderly and, for eGFR

Indexed as

Genome-Wide Association StudyAdultAgedComorbidityGlomerular Filtration RateHumansMiddle AgedYoung AdulteGFRcreaeGFRcysElderlyGeneral adultsKidney function biomarkersPGSPolygenic scores

Identifiers

PMID37231333
PMCPMC10210501
OpenAlexW4378231991

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.