Evidence map›Paper›PMID 25819010›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2015

Genetic risk factors affecting mitochondrial function are associated with kidney disease in people with Type 1 diabetes.

E J Swan, R M Salem, N Sandholm, L Tarnow, P Rossing, M Lajer, P H Groop, A P Maxwell, A J McKnight, GENIE Consortium

Open access · hybridAbstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
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  15. MnTBAP Therapy Attenuates Renal Fibrosis in Mice with 5/6 Nephrectomy.Oxidative medicine and cellular longevity · 2016
    Article
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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

10 authors at 6 institutions in 5 countries.

E J SwanCentre for Public Health, Queen's University of Belfast, Belfast, UK.
R M SalemProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
N SandholmFolkhälsan Institute of Genetics, Folkhälsan Research Centre, Helsinki, Finland.
L TarnowNordsjaellands Hospital, Hilleroed, Denmark and Health, Aarhus University, Aarhus, Denmark.
P RossingSteno Diabetes Centre, Gentofte, Denmark.
M LajerSteno Diabetes Centre, Gentofte, Denmark.
P H GroopFolkhälsan Institute of Genetics, Folkhälsan Research Centre, Helsinki, Finland.
A P MaxwellCentre for Public Health, Queen's University of Belfast, Belfast, UK.
A J McKnightCentre for Public Health, Queen's University of Belfast, Belfast, UK.
GENIE Consortium
Queen's University Belfast · GBSteno Diabetes Center · DKBaker Heart and Diabetes Institute · AUBroad Institute · USFolkhälsans Forskningscentrum · FINordsjællands Hospital · DK

Funding

Genome-Wide Association Studies of Diabetic NephropathyR01DK081923 · NIDDK · BROAD INSTITUTE, INC. · PI HIRSCHHORN, JOEL N · 2009 to 2012
$2.3M
Diabetes UK 10/0004154NIDDK NIH HHS R01 DK081923
6 · The paper itself

Abstract

aimTo evaluate the association with diabetic kidney disease of single nucleotide polymorphisms (SNPs) that may contribute to mitochondrial dysfunction.

methodsThe mitochondrial genome and 1039 nuclear genes that are integral to mitochondrial function were investigated using a case (n = 823 individuals with diabetic kidney disease) vs. control (n = 903 individuals with diabetes and no renal disease) approach. All people included in the analysis were of white European origin and were diagnosed with Type 1 diabetes before the age of 31 years. Replication was conducted in 5093 people with similar phenotypes to those of the discovery collection. Association analyses were performed using the plink genetic analysis toolset, with adjustment for relevant covariates.

resultsA total of 25 SNPs were evaluated in the mitochondrial genome, but none were significantly associated with diabetic kidney disease or end-stage renal disease. A total of 38 SNPs in nuclear genes influencing mitochondrial function were nominally associated with diabetic kidney disease and 16 SNPS were associated with end-stage renal disease, secondary to diabetic kidney disease, with meta-analyses confirming the same direction of effect. Three independent signals (seven SNPs) were common to the replication data for both phenotypes with Type 1 diabetes and persistent proteinuria or end-stage renal disease.

conclusionsOur results suggest that SNPs in nuclear genes that influence mitochondrial function are significantly associated with diabetic kidney disease in a white European population.

Indexed as

AdultAgedCase-Control StudiesDiabetes Mellitus, Type 1Diabetic NephropathiesFemaleGenetic Predisposition to DiseaseGenome, MitochondrialHumansKidney Failure, ChronicMaleMiddle AgedMitochondriaPolymorphism, Single NucleotideRenal Insufficiency, Chronic

Identifiers

PMID25819010
PMCPMC4504747
OpenAlexW2039043763

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.