Evidence map›Paper›PMID 20687937›Full record

ArticleBMC medical genomics2010

Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus.

Christopher G Bell, Andrew E Teschendorff, Vardhman K Rakyan, Alexander P Maxwell, Stephan Beck, David A Savage

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 2 pooled it
10.3field-weighted citation impact, top 1% 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

165 citing papers in PubMed, 2 syntheses or guidelines pooled it, 305 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Epigenetic memories induced by hypoxia in AKI-to-CKD transition.Clinical and experimental nephrology · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  16. Metabolic memory: mechanisms and diseases.Signal transduction and targeted therapy · 2024
    Review
  17. Article
  18. Review
  19. Sex-specific epigenetic programming in renal fibrosis and inflammation.American journal of physiology. Renal physiology · 2023
    Review
  20. Article

105 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Christopher G BellMedical Genomics, UCL Cancer Institute, University College London, London, UK. christopher.bell@ucl.ac.uk
Andrew E Teschendorff
Vardhman K Rakyan
Alexander P Maxwell
Stephan Beck
David A Savage
University College London · GBQueen's University Belfast · GBQueen Mary University of London · GB

Funding

Wellcome Trust 084071
6 · The paper itself

Abstract

backgroundDiabetic nephropathy is a serious complication of diabetes mellitus and is associated with considerable morbidity and high mortality. There is increasing evidence to suggest that dysregulation of the epigenome is involved in diabetic nephropathy. We assessed whether epigenetic modification of DNA methylation is associated with diabetic nephropathy in a case-control study of 192 Irish patients with type 1 diabetes mellitus (T1D). Cases had T1D and nephropathy whereas controls had T1D but no evidence of renal disease.

methodsWe performed DNA methylation profiling in bisulphite converted DNA from cases and controls using the recently developed Illumina Infinium HumanMethylation27 BeadChip, that enables the direct investigation of 27,578 individual cytosines at CpG loci throughout the genome, which are focused on the promoter regions of 14,495 genes.

resultsSingular Value Decomposition (SVD) analysis indicated that significant components of DNA methylation variation correlated with patient age, time to onset of diabetic nephropathy, and sex. Adjusting for confounding factors using multivariate Cox-regression analyses, and with a false discovery rate (FDR) of 0.05, we observed 19 CpG sites that demonstrated correlations with time to development of diabetic nephropathy. Of note, this included one CpG site located 18 bp upstream of the transcription start site of UNC13B, a gene in which the first intronic SNP rs13293564 has recently been reported to be associated with diabetic nephropathy.

conclusionThis high throughput platform was able to successfully interrogate the methylation state of individual cytosines and identified 19 prospective CpG sites associated with risk of diabetic nephropathy. These differences in DNA methylation are worthy of further follow-up in replication studies using larger cohorts of diabetic patients with and without nephropathy.

Indexed as

DNA MethylationAdultCase-Control StudiesCpG IslandsDiabetes Mellitus, Type 1Diabetic NephropathiesFemaleGenetic Predisposition to DiseaseGenome, HumanHumansMaleMiddle AgedNerve Tissue ProteinsTranscription Initiation SiteNerve Tissue ProteinsUNC13B protein, human

Identifiers

PMID20687937
PMCPMC2924253
OpenAlexW2150250444

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.