Evidence map›Paper›PMID 25476525›Full record

ArticleDiabetologia2015

SORBS1 gene, a new candidate for diabetic nephropathy: results from a multi-stage genome-wide association study in patients with type 1 diabetes.

Marine Germain, Marcus G Pezzolesi, Niina Sandholm, Amy J McKnight, Katalin Susztak, Maria Lajer, Carol Forsblom, Michel Marre, Hans-Henrik Parving, Peter Rossing and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  10. Polymorphisms ofAnimals : an open access journal from MDPI · 2021
    Article
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  18. Genetic epidemiology in kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Review
  19. The Genetic Landscape of Renal Complications in Type 1 Diabetes.Journal of the American Society of Nephrology : JASN · 2017
    Article
  20. Review
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

22 authors at 18 institutions in 8 countries.

Marine GermainSorbonne Université, UPMC Université Paris 06, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France.
Marcus G Pezzolesi
Niina Sandholm
Amy J McKnight
Katalin Susztak
Maria Lajer
Carol Forsblom
Michel Marre
Hans-Henrik Parving
Peter Rossing
Iiro Toppila
Jan Skupien
Ronan Roussel
Yi-An Ko
Nora Ledo
Lasse Folkersen
Mete Civelek
Alexander P Maxwell
David-Alexandre Tregouet
Per-Henrik Groop
Lise Tarnow
Samy Hadjadj
University of Pennsylvania · USHelsinki University Hospital · FISteno Diabetes Center · DKAarhus University · DKBaker Heart and Diabetes Institute · AUBiologie des maladies cardiovasculairesCentre Hospitalier Universitaire de Poitiers · FRDélégation Paris 7 · FRFolkhälsans Forskningscentrum · FIJagiellonian University · PLJoslin Diabetes Center · USKarolinska University Hospital · SENovo Nordisk Foundation · DKQueen's University Belfast · GBSorbonne Université · FRUniversité Paris Cité · FRUniversity of California, Los Angeles · USUniversity of Ulster · GB

Funding

Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
Epigenetic drivers and biomarkers of diabetic kidney diseaseDP3DK108220 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2015 to 2015
$2.4M
NIDDK NIH HHS DP3 DK108220NIDDK NIH HHS R01 DK087635
6 · The paper itself

Abstract

aims/hypothesisThe genetic determinants of diabetic nephropathy remain poorly understood. We aimed to identify novel susceptibility genes for diabetic nephropathy.

methodsWe performed a genome-wide association study using 1000 Genomes-based imputation to compare type 1 diabetic nephropathy cases with proteinuria and with or without renal failure with control patients who have had diabetes for more than 15 years and no evidence of renal disease.

resultsNone of the single nucleotide polymorphisms (SNPs) tested in a discovery cohort composed of 683 cases and 779 controls reached genome-wide statistical significance. The 46 top hits (p < 10(-5)) were then sought for first-stage analysis in the Genetics of Kidneys in Diabetes US (US-GoKinD) study, an independent population of 820 cases and 885 controls. Two SNPs in strong linkage disequilibrium with each other and located in the SORBS1 gene were consistently and significantly (p < 10(-4)) associated with diabetic nephropathy. The minor rs1326934-C allele was less frequent in cases than in controls (0.34 vs 0.43) and was associated with a decreased risk for diabetic nephropathy (OR 0.70; 95% CI 0.60, 0.82). However, this association was not observed in a second stage with two additional diabetic nephropathy cohorts, the All Ireland-Warren 3-Genetics of Kidneys in Diabetes UK and Republic of Ireland (UK-ROI; p = 0.15) and the Finnish Diabetic Nephropathy (FinnDiane; p = 0.44) studies, totalling 2,142 cases and 2,494 controls. Altogether, the random-effect meta-analysed rs1326934-C allele OR for diabetic nephropathy was 0.83 (95% CI 0.72, 0.96; p = 0.009). CONCLUSIONS/

interpretationThese data suggest that SORBS1 might be a gene involved in diabetic nephropathy.

Indexed as

Diabetes Mellitus, Type 1Diabetic NephropathiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMicrofilament ProteinsMiddle AgedPolymorphism, Single NucleotideWhite PeopleMicrofilament ProteinsSORBS1 protein, human

Identifiers

PMID25476525
PMCPMC5438751
OpenAlexW2075074210

What OpenQuestion holds

Textmetadata
LicenceTDM
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.