Evidence map›Paper›PMID 42191235›Full record

Observational studyBMJ open diabetes research & care2026

Mapping shared genetic determinants of eGFR and albuminuria with a focus on type 2 diabetes: a large-scale European study.

Cilia Naaman, Frederik Persson, Thomas Kümler, Simone Theilade, Glenn Chertow, Peter Rossing, Tine Hansen, Tarunveer S Ahluwalia

Abstract readObservational Study
In one paragraph

Observational study in BMJ open diabetes research & care, 2026. 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
–field-weighted citation impact
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.

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

8 authors.

Cilia NaamanSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID http://orcid.org/0009-0004-7578-9592
Frederik PerssonSteno Diabetes Center Copenhagen, Herlev, Denmark.
Thomas KümlerSteno Diabetes Center Copenhagen, Herlev, Denmark.
Simone TheiladeSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID http://orcid.org/0000-0002-1151-8951
Glenn ChertowSteno Diabetes Center Copenhagen, Herlev, Denmark.
Peter RossingSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID http://orcid.org/0000-0002-1531-4294
Tine HansenSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID http://orcid.org/0000-0003-2274-0352
Tarunveer S AhluwaliaSteno Diabetes Center Copenhagen, Herlev, Denmark tarun.veer.singh.ahluwalia@regionh.dk.ORCID http://orcid.org/0000-0002-7464-3354

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and hypothesisChronic kidney disease (CKD) is a global health and economic burden, particularly among individuals with type 2 diabetes (T2D). According to Kidney Disease: Improving Global Outcomes guidelines, key CKD indicators include urine albumin-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR). Although independent genetic loci for these traits have been reported, their shared genetic architecture remains insufficiently understood. We hypothesized that there are shared genetic markers of kidney function (eGFR) and albuminuria generally, but also specific to the T2D population.

methodsWe conducted a cross-sectional observational study including 432 451 UK Biobank participants of primarily European descent (94%), with a subgroup of 16 265 with T2D after data quality control. We examined whether 423 single-nucleotide polymorphisms previously associated with eGFR in a large genome-wide association study meta-analysis were associated with (a) eGFR estimated using the 2021 race-free CKD-Epidemiology Collaboration creatinine equation (eGFR

resultsIn the overall population, 422 loci were nominally associated with eGFR

conclusionThis study identifies several shared genetic loci underlying eGFR and UACR in both general and T2D European populations. These findings highlight common pathobiological pathways between albuminuria and reduced kidney function and provide a genetic map that may inform future CKD risk stratification and towards the development of therapeutic targets.

Indexed as

AlbuminuriaBiomarkersDiabetes Mellitus, Type 2Diabetic NephropathiesGlomerular Filtration RatePolymorphism, Single NucleotideRenal Insufficiency, ChronicAgedCross-Sectional StudiesFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedBiomarkersDiabetes Mellitus, Type 2Genetic PleiotropyKidney DiseasesKidney Function Tests

Identifiers

PMID42191235
PMCPMC13218176

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.