Evidence map›Paper›PMID 23586973›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2013

Investigation of known estimated glomerular filtration rate loci in patients with type 2 diabetes.

H A Deshmukh, C N A Palmer, A D Morris, H M Colhoun

Registry-linked trialOpen access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02783469 (Genetics of Diabetes Audit and Research in Tayside Scotland), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 13% 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.

NCT02783469 completednot on this map

Genetics of Diabetes Audit and Research in Tayside Scotland (DOLORisk Dundee)

TypeobservationalSponsorUniversity of DundeeRan2004 to 2009Enrolled1,915ConditionsDiabetic Neuropathic PainArmsIdentification of genetic causes of diabetic neuropathic pain
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Review
  5. Article
  6. Mapping Shroom3 expression across the adult mouse.Gene expression patterns : GEP · 2025
    Article
  7. Article
  8. Review
  9. Uromodulin in mineral metabolism.Current opinion in nephrology and hypertension · 2019
    Review
  10. Review
  11. Article
  12. The Susceptibility Genes in Diabetic Nephropathy.Kidney diseases (Basel, Switzerland) · 2018
    Review
  13. Review
  14. Review
  15. Article
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  18. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

H A DeshmukhDivision of Population Health Sciences, University of Dundee, Dundee, UK.
C N A Palmer
A D Morris
H M Colhoun
University of Dundee · GB

Funding

Wellcome Trust 084726/Z/08/ZWellcome Trust 085475/B/08/ZWellcome Trust 085475/Z/08/Z
6 · The paper itself

Abstract

aimsTo replicate the association of genetic variants with estimated glomerular filtration rate (GFR) and albuminuria, which has been found in recent genome-wide studies in patients with Type 2 diabetes.

methodsWe evaluated 16 candidate single nucleotide polymorphisms for estimated GFR in 3028 patients with Type 2 diabetes sampled from clinics across Tayside, Scotland, UK, who were included in the Genetics of Diabetes Audit and Research Tayside (GoDARTs) study. These single nucleotide polymorphisms were tested for their association with estimated GFR at entry to the study, with albuminuria, and with time to stage 3B chronic kidney disease (estimated GFR<45 ml/min/1.73 m(2)). We also stratified the effects on estimated GFR in patients with (n = 2096) and without albuminuria (n = 613).

resultsrs1260326 in GCKR (β=1.30, P = 3.23E-03), rs17319721 in SHROOM3 (β = -1.28, P-value = 3.18E-03) and rs12917707 in UMOD (β = 2.0, P-value = 8.84E-04) were significantly associated with baseline estimated GFR. Analysis of effects on estimated GFR, stratified by albuminuria status, showed that in those without albuminuria (normoalbuminura; n = 613), UMOD had a significantly stronger effect on estimated GFR (β(normo) = 4.03 ± 1.23 vs β(albuminuria) = 1.72 ± 0.76, P = 0.002) compared with those with albuminuria, while GCKR (β(normo) = 0.45 ± 0.89 vs β(albuminuria) = 1.12 ± 0.55, P = 0.08) and SHROOM3 (β(normo) = -0.07 ± 0.89 vs β(albuminuria) = -1.43 ± 0.53, P = 0.003) had a stronger effect on estimated GFR in those with albuminuria. UMOD was also associated with a lower rate of transition to stage 3B chronic kidney disease (hazard ratio = 0.83[0.70, 0.99], P = 0.03).

conclusionThe genetic variants that regulate estimated GFR in the general population tend to have similar effects in patients with Type 2 diabetes and in this latter population, it is important to adjust for albuminuria status while investigating the genetic determinants of renal function.

Indexed as

AlbuminuriaAdaptor Proteins, Signal TransducingDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleGenome-Wide Association StudyGlomerular Filtration RateHumansMaleMembrane ProteinsMiddle AgedPolymorphism, Single NucleotideRenal Insufficiency, ChronicReproducibility of ResultsScotlandUromodulinAdaptor Proteins, Signal TransducingGCKR protein, humanMembrane ProteinsUMOD protein, humanUromodulin

Identifiers

PMID23586973
PMCPMC4204276
OpenAlexW1993536642

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.